2023

The Creativity Game: A Game for Teaching First Steps of Theoretical Creativity

S. Tanimoto, N. Inie, ACM Creativity & Cognition 2023, Association for Computing Machinery, 2023.

Five Futures with AI Coding Agents

S.L. Tanimoto, 2023.

2020

Explanation-Based Tuning of Opaque Machine Learners with Application to Paper Recommendation

B.C.G. Lee, K. Lo, D. Downey, D.S. Weld, arXiv:2003:04315, 2020.

2019

Beyond Accuracy: The Role of Mental Models in Human-AI Team Performance

G. Bansal, B. Nushi, E. Kamar, W. Lasecki, D.S. Weld, E. Horvitz, HCOMP, 2019.  **Statement regarding a co-author's conduct

The Challenge of Crafting Intelligible Intelligence

D.S. Weld, G. Bansal, CACM, 2019.

Guidelines for Human-AI Interaction

S. Amershi, D. Weld, M. Vorvoreanu, A. Fourney, B. Nushi, P. Collisson, J. Suh, S. Iqbal, P. Bennett, K. Inkpen, J. Teevan, R. Kikin-Gil, E. Horvitz, CHI, ACM, 2019.

Updates in Human-AI Teams: Understanding and Addressing the Performance/Compatibility Tradeoff

G. Bansal, B. Nushi, E. Kamar, D.S. Weld, W.S. Lasecki, E. Horvitz, AAAI, 2019.  **Statement regarding a co-author's conduct

Conditional Driving from Natural Language Instruction

J. Roh, C. Paxton, A. Pronobis, A. Farhadi, D. Fox, CoRL, 2019.

2018

Active Learning with Unbalanced Classes & Example-Generation Queries

C. Lin,  Mausam, D.S. Weld, AAAI Conference on Human Computation, 2018.

Semi-Supervised Event Extraction with Paraphrase Clusters

J. Ferguson, C. Lockard, D.S. Weld, H. Hajishirzi, NAACL-HLT, 2018.

StaQC: A Systematically Mined Question-Code Dataset from Stack Overflow

Z. Yao, D. Weld, C.W. P., S. H., Proceedings of the Web Conference (WWW18), 2018.

Self-Improving Crowdsourcing: Near-Effortless Design of Adaptive Distributed Work

J. Bragg PhD, 2018.

A Coverage-Based Utility Model for Identifying Unknown Unknowns

G. Bansal, D.S. Weld, AAAI, 2018.

2017

The Intelligent Management of Crowd-Powered Machine Learning

C.H. Lin PhD, 2017.

Recurrent Additive Networks

K. Lee, O. Levy, L. Zettlemoyer, arXiv:1705.07393 , 2017.
Downloads: https://github.com/kentonl/ran CODE

TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension

M. Joshi, E. Choi, D. Weld, L. Zettlemoyer, Conference of the Association for Computational Linguistics (ACL), 2017.
Downloads: http://nlp.cs.washington.edu/triviaqa/ DATA https://github.com/mandarjoshi90/triviaqa CODE

Zero-Shot Relation Extraction via Reading Comprehension

O. Levy, M. Seo, E. Choi, L. Zettlemoyer, Conference on Natural Language Learning (CoNLL), 2017.

Neural AMR: Sequence-to-Sequence Models for Parsing and Generation

I. Konstas, S. Iyer, M. Yatskar, Y. Choi, L. Zettlemoyer, Conference of the Association for Computational Linguistics (ACL), 2017.
Downloads: http://www.ikonstas.net/index.php?page=demos# DEMO https://github.com/sinantie/NeuralAmr CODE

Commonly Uncommon: Semantic Sparsity in Situation Recognition

M. Yatskar, V. Ordóñez, L. Zettlemoyer, A. Farhadi, Computer Vision and Pattern Recognition (CVPR), 2017.
Downloads: http://imsitu.org/demo/ DEMO

Learning a Neural Semantic Parser from User Feedback

S. Iyer, Y. Konstas, A. Cheung, J. Krishnamurthy, L. Zettlemoyer, Conference of the Association of Computational Linguistics (ACL), 2017.
Downloads: https://github.com/sriniiyer/nl2sql CODE

Deep Semantic Role Labeling: What Works and What's Next

L. He, K. Lee, M. Lewis, L. Zettlemoyer, Conference of the Association for Computational Linguistics (ACL), 2017.
Downloads: https://github.com/luheng/deep_srl CODE

End-to-end Neural Coreference Resolution

K. Lee, L. He, M. Lewis, L. Zettlemoyer, Conference on Empirical Methods in Natural Language Processing (EMNLP), 2017.
Downloads: https://github.com/kentonl/e2e-coref CODE https://kentonl.github.io/e2e-coref DEMO

2016

Effective Crowd Annotation for Relation Extraction

A. Liu, S. Soderland, J. Bragg, C.H. Lin, X. Ling, D.S. Weld, 15th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL 2016), 2016.

Optimal Testing for Crowd Workers

J. Bragg,  Mausam, D.S. Weld, 15th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2016), 2016.

Re-active Learning: Active Learning with Relabeling

C.H. Lin,  Mausam, D.S. Weld, AAAI Conference on Artificial Intelligence, 2016.

Learning Prototypical Event Structure from Photo Albums

A. Bosselut, J. Chen, D. Warren, H. Hajishirzi, Y. Choi, Conference of the Association for Computational Linguistics (ACL), 2016.
Downloads: https://www.cs.washington.edu/projects/nlp/protoevents WEB https://homes.cs.washington.edu/~antoineb/datasets/public.zip DATA

LSTM CCG Parsing

M. Lewis, K. Lee, L. Zettlemoyer, Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2016.

NEOL: Toward Never-Ending Object Learning for Robots

Y. Sun, D. Fox, IEEE International Conference on Robotics and Automation (ICRA), 2016.

Situation Recognition: Visual Semantic Role Labeling for Image Understanding

M. Yatskar, L. Zettlemoyer, A. Farhadi, Proceedings of the Conference of Computer Vision and Pattern Recognition (CVPR), 2016.
Downloads: http://imsitu.org/ WEB http://imsitu.org/browse/ DATA http://imsitu.org/demo DEMO

Human-in-the-Loop Parsing

L. He, J. Michael, M. Lewis, L. Zettlemoyer, Conference on Empirical Methods in Natural Language Processing (EMNLP), 2016.

Summarizing Source Code using a Neural Attention Model

S. Iyer, Y. Konstas, A. Cheung, L. Zettlemoyer, Annual Meeting of the Association for Computational Linguistics (ACL), 2016.
Downloads: https://github.com/sriniiyer/codenn CODE

A Theme-Rewriting Approach for Generating Algebra Word Problems

R. Koncel-Kedziorski, I. Konstas, L. Zettlemoyer, H. Hajishirzi, Conference on Empirical Methods in Natural Language Processing (EMNLP), 2016.

Global Neural CCG Parsing with Optimality Guarantees

K. Lee, M. Lewis, L. Zettlemoyer, Conference on Empirical Methods in Natural Language Process (EMNLP), 2016.  *Best Paper Award*

Document-level Sentiment Inference with Social, Faction, and Discourse Context

E. Choi, H. Rashkin, L. Zettlemoyer, Y. Choi, Conference of the Association for Computational Linguistics (ACL), 2016.

Are Elephants Bigger than Butterflies? Reasoning about Sizes of Objects

H. Bagherinezhad, H. Hajishirzi, Y. Choi, A. Farhadi, Association for the Advancement of Artificial Intelligence (AAAI), 2016.

Globally Coherent Text Generation with Neural Checklist Models

C. Kiddon, L. Zettlemoyer, Y. Choi, Conference on Empirical Methods in Natural Language Processing (EMNLP), 2016.

Evaluating Task-Dependent Taxonomies for Navigation

Y. Sun, A. Singla, T. Yan, A. Krause, D. Fox, Forth AAAI Conference on Human Computation and Crowdsourcing (HCOMP), 2016.

2015

Entity Analysis with Weak Supervision: Typing, Linking, and Attribute Extraction

X. Ling, Computer Science and Engineering, University of Washington PhD, 2015.
Downloads: http://aiweb.cs.washington.edu/ai/pubs/LingXiaothesis2015.pdf PDF

Relation Extraction: from Ontological Smoothing to Temporal Correspondence

C. Zhang, Computer Science and Engineering, University of Washington PhD, 2015.
Downloads: http://aiweb.cs.washington.edu/ai/pubs/ZhangConglethesis2015.pdf PDF

Artificial Intelligence and Collective Intelligence

D.S. Weld,  Mausam, C. Lin, J. Bragg, The Collective Intelligence Handbook (Thomas Malone & Michael Bernstein, eds.), MIT Press, 2015.

Recursive Decomposition for Nonconvex Optimization

A.L. Friesen, P. Domingos, International Joint Conference on Artificial Intelligence, 2015.
Downloads: http://homes.cs.washington.edu/~afriesen/papers/ijcai2015.pdf PDF http://homes.cs.washington.edu/~afriesen/papers/ijcai2015sp.pdf Supplementary Material

Reactive Learning: Actively Trading Off Larger Noisier Training Sets Against Smaller Cleaner Ones

C.H. Lin,  Mausam, D.S. Weld, ICML Workshop on Crowdsourcing and Machine Learning and ICML Active Learning Workshop, 2015.

Learning on the Job: Optimal Instruction for Crowdsourcing

J. Bragg,  Mausam, D.S. Weld, ICML ’15 Workshop on Crowdsourcing and Machine Learning, 2015.

Design Challenges for Entity Linking

X. Ling, S. Singh, D.S. Weld, Transactions of the Association for Computational Linguistics 3, 2015.

Exploiting Parallel News Streams for Unsupervised Event Extraction

C. Zhang, S. Soderland, D.S. Weld, Transactions of the Association for Computational Linguistics (TACL) 3, 2015.  

Crawled parallel news streams are available at

http://www.cs.washington.edu/ai/clzhang/sentences.tokens.gz http://www.cs.washington.edu/ai/clzhang/sentences.articleIDs.gz

The github url of this project: https://github.com/zhangcongle/NewsSpikeRe

Personalized Mathematical Word Problem Generation

O. Polozov, E. O'Rourke, A.M. Smith, L. Zettlemoyer, S. Gulwani, Z. Popović, International Joint Conference on Artificial Intelligence (IJCAI), 2015.

Learning to Name Objects

V. Ordonez, W. Liu, J. Deng, Y. Choi, A.C. Berg, T.L. Berg, Communications of the ACM (CACM), 2015.  (invited article)

Question-Answer Driven Semantic Role Labeling: Using Natural Language to Annotate Natural Language

L. He, M. Lewis, L. Zettlemoyer, Conference on Empirical Methods in Natural Language Processing (EMNLP), 2015.
Downloads: https://dada.cs.washington.edu/qasrl/ CODE and DATA https://homes.cs.washington.edu/~luheng/files/qasrl_slides.pdf SLIDES

Robot Programming by Demonstration with Situated Spatial Language Understanding

M. Forbes, R.P.N. Rao, L. Zettlemoyer, M. Cakmak, International Conference on Robotics and Automation (ICRA), 2015.

Segment-Phrase Table for Semantic Segmentation, Visual Entailment and Paraphrasing

H. Izadinia, F. Sadeghi, S.Kumar Divvala, H. Hajishirzi, Y. Choi, A. Farhadi, International Conference on Computer Vision (ICCV), 2015.  (oral)

Scalable Semantic Parsing with Partial Ontologies

E. Choi, T. Kwiatkowski, L. Zettlemoyer, Association for Computational Linguistics (ACL), 2015.

Learning Relational Sum-Product Networks

A. Nath, P. Domingos, AAAI Conference on Artificial Intelligence, 2015.

Refer-to-as Relations as Semantic Knowledge

S. Feng, S. Ravi, R. Kumar, P. Kuznetsova, W. Liu, A.C. Berg, T.L. Berg, Y. Choi, AAAI Conference on Artificial Intelligence, 2015.

Mise en Place: Unsupervised Interpretation of Instructional Recipes

C. Kiddon, G.Thandavam Ponnuraj, L. Zettlemoyer, Y. Choi, Conference on Empirical Methods in Natural Language Processing (EMNLP), 2015.

Building Hierarchies of Concepts via Crowdsourcing

Y. Sun, A. Singla, D. Fox, A. Krause, International Joint Conferences on Artificial Intelligence, 2015.

Broad-coverage CCG Semantic Parsing with AMR

Y. Artzi, K. Lee, L. Zettlemoyer, Conference on Empirical Methods in Natural Language Processing (EMNLP), 2015.  *Best Paper Award*
Downloads: http://yoavartzi.com/pub/alz-emnlp.2015.sup.pdf SUPPLEMENTARY MATERIAL http://yoavartzi.com/pub/alz-emnlp.2015.slides.pdf SLIDES

Joint A∗ CCG Parsing and Semantic Role Labeling

M. Lewis, L. He, L. Zettlemoyer, Conference on Empirical Methods in Natural Language Processing (EMNLP), 2015.
Downloads: https://github.com/mikelewis0/EasySRL CODE http://homes.cs.washington.edu/~mlewis/publications/emnlp2015_slides.pdf SLIDES http://lil.cs.washington.edu/easysrl/demo.cgi DEMO

Building Hierarchies of Concepts via Crowdsourcing

Y. Sun, A. Singla, D. Fox, A. Krause, IJCAI, 2015.

Déjà Image-Captions: A Corpus of Expressive Image Descriptions in Repetition

J. Chen, P. Kuznetsova, D. Warren, Y. Choi, North American Chapter of the Association for Computational Linguistics (NAACL), 2015.

Gaussian Processes for Data-Efficient Learning in Robotics and Control

M. Deisenroth, D. Fox, C.E. Rasmussen, IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) 37:2, 2015.
Downloads: http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/gprl-pami-20... PDF

Event Detection and Factuality Assessment with Non-Expert Supervision

K. Lee, Y. Artzi, Y. Choi, L. Zettlemoyer, Conference on Empirical Methods in Natural Language Processing (EMNLP), 2015.
Downloads: http://homes.cs.washington.edu/~kentonl/pub/lacz-emnlp.2015.poster.pdf POSTER http://homes.cs.washington.edu/~kentonl/pub/lacz-emnlp.2015.slides.pdf SLIDES https://bitbucket.org/kentonl/factuality-data DATA

2014

Parallel Task Routing for Crowdsourcing

J. Bragg, A. Kolobov,  Mausam, D.S. Weld, AAAI Conference on Human Computation and Crowdsourcing, 2014.

To Re(label), or Not To Re(label)

C.H. Lin,  Mausam, D.S. Weld, AAAI Conference on Human Computation and Crowdsourcing, 2014.

Type-Aware Distantly Supervised Relation Extraction with Linked Arguments

M. Koch, J. Gilmer, S. Soderland, D.S. Weld, Conference on Empirical Methods in Natural Language Processing (EMNLP), 2014.
Downloads: http://cs.uw.edu/homes/mkoch/re

Open Question Answering Over Curated and Extracted Knowledge Bases

A. Fader, O. Etzioni, L. Zettlemoyer, Conference on Knowledge Discovery and Data Mining (KDD), 2014.
Downloads: https://github.com/afader/oqa CODE https://github.com/afader/oqa DATA

Learning to Solve Arithmetic Word Problems with Verb Categorization

M.J. Hosseini, H. Hajishirzi, O. Etzioni, N. Kushman, Conference on Empirical Methods in Natural Language Processing (EMNLP), 2014.

Learning to Automatically Solve Algebra Word Problems

N. Kushman, Y. Artzi, L. Zettlemoyer, R. Barzilay, Association for Computational Linguistics (ACL), 2014.

See No Evil, Say No Evil: Description Generation from Densely Labeled Images

M. Yatskar, M. Galley, L. Vanderwende, L. Zettlemoyer, Joint Conference on Lexical and Computation Semantics (*SEM), 2014.

Tractability through Exchangeability: A New Perspective on Efficient Lifted Inference

M. Niepert, G. Van den Broeck, Workshop on Statistical Relational AI, 2014.

Learning from Unscripted Deictic Gesture and Language for Human-Robot Interactions

C. Matuszek, L. Bo, L. Zettlemoyer, D. Fox, Conference on Artificial Intelligence (AAAI), 2014.

TreeTalk: Composition and compression of trees for image descriptions

P. Kuznetsova, V. Ordonez, T.L. Berg, Y. Choi, Transactions of the Association for Computational Linguistics (TACL) 2, 2014.

Tractable Probabilistic Knowledge Bases: Wikipedia and Beyond

M. Niepert, P. Domingos, Workshop on Statistical Relational AI, 2014.

Toward Online 3-D Object Segmentation and Mapping

E. Herbst, P. Henry, D. Fox, IEEE International Conference on Robotics and Automation (ICRA), 2014.

Context Representation for Named Entity Linking

X. Ling, S. Singh, D.S. Weld, 3rd Pacific Northwest Regional NLP Workshop, 2014.
Downloads: http://homes.cs.washington.edu/~xiaoling/papers/nwnlp14.pdf

Automated Debugging with Tractable Probabilistic Programming

A. Nath, P. Domingos, Workshop on Statistical Relational AI, 2014.

Approximate Lifting Techniques for Belief Propagation

P. Singla, A. Nath, P. Domingos, AAAI Conference on Artificial Intelligence, 2014.

Keystroke Patterns as Prosody in Digital Writings: A Case Study with Deceptive Reviews and Essays

R. Banerjee, S. Feng, J.Seok Kang, Y. Choi, Empirical Methods in Natural Language Processing (EMNLP), 2014.

Autonomous Scene Exploration with RGB-D Cameras

E. Herbst, D. Fox:UW-CSE-14-05-03, 2014.
Downloads: http://www.cs.washington.edu/education/grad/UW-CSE-14-05-03.PDF PDF

ConnotationWordNet: Learning Connotation over the Word+Sense Network

J.Seok Kang, S. Feng, L. Akoglu, Y. Choi, Association for Computational Linguistics (ACL), 2014.

Introduction to the special issue on learning semantics.

A. Bordes, L. Bottou, R. Collobert, D. Roth, J. Weston, L. Zettlemoyer, Machine Learning 94, 2014.

Accelerating Imitation Learning through Crowdsourcing

M. Chung, M. Forbes, M. Cakmak, R.P.N. Rao, IEEE International Conference on Robotics and Automation (ICRA), 2014.

Context-dependent Semantic Parsing for Time Expressions

K. Lee, Y. Artzi, J. Dodge, L. Zettlemoyer, Association for Computational Linguistics (ACL), 2014.
Downloads: http://lil.cs.washington.edu/uwtime/ DEMO https://bitbucket.org/kentonl/uwtime CODE https://bitbucket.org/kentonl/uwtime-standalone TOOL

2013

RGB-D Cameras for 3D Modeling and Recognition

X. Ren, D. Fox, K. Konolige, Robotics & Automation Magazine 20, 2013.
Downloads: http://online.qmags.com/RAM1213#pg51&mode2 Link

Towards a Language for Non-Expert Specification of POMDPs for Crowdsourcing

C.H. Lin,  Mausam, D.S. Weld, Conference on Human Computation & Crowdsourcing (HCOMP) Works in Progress Track, AAAI Press, 2013.

Crowdsourcing Multi-Label Classification for Taxonomy Creation

J. Bragg,  Mausam, D.S. Weld, Conference on Human Computation & Crowdsourcing (HCOMP), AAAI Press, 2013.   Awarded Best Paper

Open Information Extraction to KBP Relation in 3 Hours

S. Soderland, J. Gilmer, R. Bart, O. Etzioni, D.S. Weld, Text Analysis Conference - Knowledge Base Propagation (KBP), 2013.
Downloads: http://homes.cs.washington.edu/~soderlan/Soderland-KBP2013.pdf PDF

Harvesting Parallel News Streams to Generate Paraphrases of Event Relations

C. Zhang, D.S. Weld, Conference on Empirical Methods in Natural Language Processing (EMNLP), 2013.
Downloads: http://www.cs.washington.edu/ai/clzhang/release.tar.gz datasets

Probabilistic co-adaptive brain–computer interfacing

M.J. Bryan, S.A. Martin, W. Cheung, R.P.N. Rao, Journal of Neural Engineering 10:6, 2013.

Extracting Meronyms for a Biology Knowledge Base using Distant Supervision

X. Ling, P. Clark, D.S. Weld, ACM Workshop on Automatic Knowledge-Base Construction, ACM, 2013.

POMDP-based control of workflows for crowdsourcing

P. Dai, C. Lin,  Mausam, D.S. Weld, Artificial Intelligence 202, 2013.

Learning the Structure of Sum-Product Networks

R. Gens, P. Domingos, International Conference on Machine Learning, Omnipress, 2013.
Downloads:

http://homes.cs.washington.edu/~pedrod/papers/mlc13.pdf PDF

Multipath Sparse Coding Using Hierarchical Matching Pursuit

L. Bo, X. Ren, D. Fox, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2013.
Downloads: http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/multipath-sp... PDF http://homes.cs.washington.edu/~lfb/paper/cvpr13.bib BIB

Scaling semantic parsers with on-the-fly ontology matching

T. Kwiatkowski, E. Choi, Y. Artzi, L. Zettlemoyer, Conference on Empirical Methods in Natural Language Processing (EMNLP), 2013.

RGB-D Flow: Dense 3-D Motion Estimation Using Color and Depth

E. Herbst, X. Ren, D. Fox, IEEE International Conference on Robotics and Automation (ICRA), 2013.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/projects/rgbdflow/icra13... PDF

Paraphrase-Driven Learning for Open Question Answering

A. Fader, L. Zettlemoyer, O. Etzioni, Association for Computational Linguistics (ACL), 2013.
Downloads: http://knowitall.cs.washington.edu/paralex/ CODE http://knowitall.cs.washington.edu/paralex/ DATA

Structured sparse learning of multiple Gaussian graphical model

K. Mohan, M. Chung, S. Han, D. Witten, S.I. Lee, M. Fazel, Advances in Neural Information Processing Systems (NIPS), 2013.

Understanding and Quantifying Creativity in Lexical Composition

P. Kuznetsova, J. Chen, Y. Choi, Empirical Methods in Natural Language Processing (EMNLP), 2013.

Modeling Missing Data in Distant Supervision for Information Extraction.

A. Ritter, L. Zettlemoyer,  Mausam, O. Etzioni, Transactions of the Association for Computational Linguistics (TACL) 1, 2013.
Downloads: http://aritter.github.io/emnlp13.pptx SLIDES

Where Not to Eat? Improving Public Policy by Predicting Hygiene Inspections Using Online Reviews

J. Kang, P. Kuznetsova, M. Luca, Y. Choi, Empirical Methods in Natural Language Processing (EMNLP), 2013.

Weakly Supervised Learning of Semantic Parsers for Mapping Instructions to Actions.

Y. Artzi, L. Zettlemoyer, Transactions of the Association for Computational Linguistics (TACL) 1, 2013.
Downloads: https://bitbucket.org/yoavartzi/spf CODE

Tractable Probabilistic Knowledge Bases with Existence Uncertainty

A. Webb, P. Domingos, Workshop on Statistical Relational AI, 2013.

Success with Style: Using Writing Style to Predict the Success of Novels

V.Ganjigunte Ashok, S. Feng, Y. Choi, Empirical Methods in Natural Language Processing (EMNLP), 2013.

RGB-D Object Recognition: Features, Algorithms, and a Large Scale Benchmark

K. Lai, L. Bo, X. Ren, D. Fox, Consumer Depth Cameras for Computer Vision: Research Topics and Applications, 2013.
Downloads:

http://www.springer.com/computer/image+processing/book/978-1-4471-4639-1 LINK
http://homes.cs.washington.edu/~kevinlai/publications/lai_rgbd13.bib bibtex

BabyTalk: Understanding and Generating Simple Image Descriptions

G. Kulkarni, V. Premraj, V. Ordonez, S. Dhar, S. Li, Y. Choi, A.C. Berg, T.L. Berg, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 35, 2013.

“Can you give me another word for hyperbaric?”: Improving speech translation using targeted clarification questions

N.Fazil Ayan, A. Mandal, M. Frandsen, J. Zheng, P. Blasco, A. Kathol, F. Béchet, B. Favre, A. Marin, T. Kwiatkowski, M. Ostendorf, L. Zettlemoyer, P. Salletmayr, J. Hirschberg, S. Stoyanchev, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE, 2013.

Automatic Idiom Identification in Wiktionary

G. Muzny, L. Zettlemoyer, Conference on Empirical Methods in Natural Language Processing (EMNLP), 2013.
Downloads: https://bitbucket.org/muzny/wiktionaryidioms/downloads/ DATA https://bitbucket.org/muzny/wiktionaryidioms/ CODE

3D Wikipedia: using online text to automatically label and navigate reconstructed geometry

B.C. Russell, R. Martin-Brualla, D.J. Butler, S.M. Seitz, L. Zettlemoyer, ACM Trans. Graph. (SIGGRAPH Asia) 32, 2013.
Downloads: http://grail.cs.washington.edu/projects/label3d/ VIDEO

Lightly Supervised Learning of Procedural Dialog Systems

S. Volkova, P. Choudhury, C. Quirk, B. Dolan, L.S. Zettlemoyer, Association for Computational Linguistics (ACL), 2013.

Compact RGBD surface models based on sparse coding

M. Ruhnke, L. Bo, D. Fox, W. Burgard, Proc. of the AAAI Conference on Artificial Intelligence, 2013.
Downloads: http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/sparse-recon... PDF

Attribute Based Object Identification

Y. Sun, L. Bo, D. Fox, IEEE International Conference on Robotics and Automation (ICRA), 2013.
Downloads: http://rse-lab.cs.washington.edu/papers/attribute-objects-icra-2013.pdf

Learning Distributions over Logical Forms for Referring Expression Generation.

N. FitzGerald, Y. Artzi, L.S. Zettlemoyer, Conference on Empirical Methods in Natural Language Processing (EMNLP), 2013.
Downloads: https://bitbucket.org/nfitzgerald/genx-referring-expression-corpus DATA

Learning to Relate Literal and Sentimental Descriptions of Visual Properties.

M. Yatskar, S. Volkova, A. Celikyilmaz, B. Dolan, L.S. Zettlemoyer, North American Association for Computational Linguistics (NAACL), 2013.

Generalizing Image Captions for Image-Text Parallel Corpus

P. Kuznetsova, V. Ordonez, A.C. Berg, T.L. Berg, Y. Choi, Association for Computational Linguistics (ACL), 2013.

Connotation Lexicon: A Dash of Sentiment Beneath the Surface Meaning

S. Feng, J.Seok Kang, P. Kuznetsova, Y. Choi, Association for Computational Linguistics (ACL), 2013.

From Large Scale Image Categorization to Entry-Level Categories

V. Ordonez, J. Deng, Y. Choi, A.C. Berg, T.L. Berg, IEEE International Conference on Computer Vision (ICCV), 2013.   Awarded Best Paper

2012

CoSolve: A System for Engaging Users in Computer-Supported Collaborative Problem Solving

S.B. Fan, T. Robison, S.L. Tanimoto, Int'l. Symp. on Visual Languages and Human-Centric Computing, 2012.

Discovering Hidden Structure in Factored MDPs

A. Kolobov,  Mausam, D.S. Weld, Artificial Intelligence 189, 2012.

Open Domain Event Extraction from Twitter

A. Ritter,  Mausam, O. Etzioni, S. Clark, KDD, 2012.
Downloads: http://www.cs.washington.edu/homes/aritter/rt080-ritter.pdf PDF

A Theory of Goal-Oriented MDPs with Dead Ends

A. Kolobov,  Mausam, D. Weld, Conference on Uncertainty in Artificial Intelligence (UAI), 2012.

Crowdsourcing Control: Moving Beyond Multiple Choice

C.H. Lin,  Mausam, D.S. Weld, Conference on Uncertainty in Artificial Intelligence, 2012.

Discriminative Learning for Joint Template Filling

E. Minkov, L. Zettlemoyer, Association for Computational Linguistics (ACL), 2012.

Dynamically Switching between Synergistic Workflows for Crowdsourcing

C.H. Lin,  Mausam, D.S. Weld, AAAI Conference on Artificial Intelligence, 2012.
Downloads: http://www.cs.washington.edu/ai/pubs/linmausamweld-aaai12.pdf PDF

Open Language Learning for Information Extraction

Mausam, M. Schmitz, R. Bart, S. Soderland, O. Etzioni, Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CONLL), 2012.

No Noun Phrase Left Behind: Detecting and Typing Unlinkable Entities

T. Lin,  Mausam, O. Etzioni, Conference on Empirical Methods in Natural Language Processing, 2012.

3D Object Retrieval Using Salient Views

I. Atmosukarto, L.G. Shapiro, International Journal of Multimedia Information Retrieval, 2012.

Rel-grams: A Probabilistic Model of Relations in Text

N. Balasubramanian, S. Soderland,  Mausam, O. Etzioni, Joint Workshop on Automatic Knowledge Base Construction and Web-scale Knowledge Extraction (AKBC-WEKEX) at NAACL, 2012.

Entity Linking at Web Scale

T. Lin,  Mausam, O. Etzioni, Joint Workshop on Automatic Knowledge Base Construction and Web-scale Knowledge Extraction, 2012.

Unsupervised Feature Learning for RGB-D Based Object Recognition

L. Bo, X. Ren, D. Fox, ISER, 2012.
Downloads:

http://www.cs.washington.edu/homes/lfb/paper/iser12.pdf PDF
http://www.cs.washington.edu/homes/lfb/paper/iser12.bib bibtex

A Joint Model of Language and Perception for Grounded Attribute Learning

C. Matuszek, N. FitzGerald, L. Zettlemoyer, L. Bo, D. Fox, Proceedings of the International Conference on Machine Learning (ICML), 2012.

Learning to Parse Natural Language Commands to a Robot Control System

C. Matuszek, E. Herbst, L. Zettlemoyer, D. Fox, International Symposium on Experimental Robotics (ISER), 2012.

Reverse Iterative Deepening for Finite-Horizon MDPs with Large Branching Factors

A. Kolobov, P. Dai,  Mausam, D.S. Weld, ICAPS, 2012.

RGB-D Mapping: Using Kinect-Style Depth Cameras for Dense 3D Modeling of Indoor Environments

P. Henry, M. Krainin, E. Herbst, X. Ren, D. Fox, International Journal of Robotics Research 31:5, 2012.
Downloads:

http://homes.cs.washington.edu/~peter/papers/3d-mapping-ijrr-12-preprint... PDF
http://www.cs.washington.edu/ai/Mobile_Robotics/bibtex/Hen12RGB.bib bibtex

DuploTrack: A Realtime System for Authoring and Guiding Duplo Block Assembly

A. Gupta, D. Fox, B. Curless, M. Cohen, ACM Symposium on User Interface Software and Technology (UIST), 2012.
Downloads:

http://grail.cs.washington.edu/projects/duplotrack/Gupta_DuploTrack.pdf PDF
http://grail.cs.washington.edu/projects/duplotrack/ Project page

Learning Multiple Hierarchical Relational Clusterings

A. Nath, P. Domingos, ICML-12 Workshop on Statistical Relational Learning, 2012.

Interactive singulation of objects from a pile

L. Chang, J. Smith, D. Fox, ICRA, 2012.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/object-singu... PDF

Fine-Grained Entity Recognition

X. Ling, D.S. Weld, AAAI Conference on Artificial Intelligence, 2012.
Downloads: http://www.cs.washington.edu/ai/figer/figer.tar.gz Code

Learning STRIPS Operators from Noisy and Incomplete Observations

K. Mourão, L.S. Zettlemoyer, R.P.A. Petrick, M. Steedman, Conference on Uncertainty in Artificial Intelligence (UAI) abs/1210.4889, 2012.

Exploiting Segmentation for Robust 3D Object Matching

M. Krainin, K. Konolige, D. Fox, ICRA, 2012.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/sbm-icra-12.pdf PDF
http://www.cs.washington.edu/ai/Mobile_Robotics/bibtex/Kra12Exp.bib bibtex
http://www.cs.washington.edu/ai/Mobile_Robotics/slides/mkrainin_icra_201... slides

Syntactic Stylometry for Deception Detection

S. Feng, R. Banerjee, Y. Choi, Association for Computational Linguistics (ACL), 2012.

RevMiner: an extractive interface for navigating reviews on a smartphone

J. Huang, O. Etzioni, L. Zettlemoyer, K. Clark, C. Lee, Proceedings of the ACM symposium on User interface software and technology (UIST), ACM, 2012.

ReGroup: Interactive Machine Learning for On-Demand Group Creation in Social Networks

S. Amershi, J. Fogarty, D.S. Weld, Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI-12), 2012.

LRTDP vs. UCT for Online Probabilistic Planning

A. Kolobov,  Mausam, D.S. Weld, AAAI Conference on Artificial Intelligence, 2012.

How Prior Probability Influences Decision Making: A Unifying Probabilistic Model

Y. Huang, A.L. Friesen, T.D. Hanks, M.N. Shadlen, R.P.N. Rao, Advances in Neural Information Processing Systems (NIPS), 2012.
Downloads:

http://books.nips.cc/papers/files/nips25/NIPS2012_0617.pdf PDF
http://homes.cs.washington.edu/~huangyp/nips12.bib bibtex

Collective Generation of Natural Image Descriptions

P. Kuznetsova, V. Ordonez, A.C. Berg, T.L. Berg, Y. Choi, Association for Computational Linguistics (ACL), 2012.

Characterizing Stylistic Elements in Syntactic Structure

S. Feng, R. Banerjee, Y. Choi, Empirical Methods in Natural Language Processing (EMNLP), 2012.

Distributional Footprints of Deceptive Product Reviews

S. Feng, L. Xing, A. Gogar, Y. Choi, International Conference on Weblogs and Social Media (ICWSM), 2012.

Counting-MLNs: Learning Relational Structure for Decision Making

A. Nath, M. Richardson, AAAI Conference on Artificial Intelligence, 2012.

A Tractable First-Order Probabilistic Logic

P. Domingos, A. Webb, Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012.

A Few Useful Things to Know about Machine Learning

P. Domingos, Communications of the ACM 55:10, 2012.

Detecting Visual Text

J. Dodge, A. Goyal, X. Han, A. Mensch, M. Mitchell, K. Stratos, K. Yamaguchi, Y. Choi, H. Daumé, A.C. Berg, T.L. Berg, North American Chapter of the Association of Computational Linguistics (NAACL), 2012.

Discriminative Learning of Sum-Product Networks

R. Gens, P. Domingos, Neural Information Processing Systems, 2012.
Downloads:

http://homes.cs.washington.edu/~pedrod/papers/nips12.pdf PDF

Detection-based Object Labeling in 3D Scenes

K. Lai, L. Bo, X. Ren, D. Fox, ICRA, 2012.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/3dobject-lab... PDF
http://www.cs.washington.edu/homes/kevinlai/publications/lai_icra12.bib bibtex
http://www.cs.washington.edu/ai/Mobile_Robotics/projects/3d-object-recog... video
http://www.cs.washington.edu/rgbd-dataset/dataset/rgbd-scene-labeling code

2011

Online Submodular Set Cover, Ranking, and Repeated Active Learning

A. Guillory, J. Bilmes, Annual Conference on Neural Information Processing Systems, 2011.

An ideal observer model for identifying the reference frame of objects

J. Austerweil, A. Friesen, T. Griffiths, Annual Conference on Neural Information Processing Systems, 2011.

Structure Learning for Optimization

C. Zhang, Annual Conference on Neural Information Processing Systems, 2011.

Effective End-User Interaction with Machine Learning

S. Amershi, J. Fogarty, A. Kapoor, D. Tan, AAAI Conference on Artificial Intelligence, 2011.

Human Intelligence Needs Artificial Intelligence

D. Weld,  Mausam, P. Dai, Human Computation Workshop, 2011.

Coarse-to-Fine Inference and Learning for First-Order Probabilistic Models

C. Kiddon, P. Domingos, AAAI Conference on Artificial Intelligence, 2011.

Artificial Intelligence for Artificial Artificial Intelligence

P. Dai,  Mausam, D. Weld, AAAI Conference on Artificial Intelligence, 2011.

Identifying Relations for Open Information Extraction

A. Fader, S. Soderland, O. Etzioni, Conference on Empirical Methods in Natural Language Processing, 2011.

Human-Guided Machine Learning for Fast and Accurate Network Alarm Triage

S. Amershi, B. Lee, A. Kapoor, R. Mahajan, B. Christian, International Joint Conference on Artificial Intelligence, 2011.

Lexical Generalization in CCG Grammar Induction for Semantic Parsing

T. Kwiatkowski, L. Zettlemoyer, S. Goldwater, M. Steedman, Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2011.

Gaze Following as Goal Inference: A Bayesian Model

A. Friesen, R. Rao, Conference of the Cognitive Science Society, 2011.

Using Multiple Models to Understand Data

K. Patel, S. Drucker, J. Fogarty, A. Kapoor, D. Tan, International Joint Conference on Artificial Intelligence, 2011.

Open Information Extraction: the Second Generation

O. Etzioni, A. Fader, J. Christensen, S. Soderland,  Mausam, International Joint Conference on Artificial Intelligence, 2011.

Named Entity Recognition in Tweets: An Experimental Study

A. Ritter, S. Clark,  Mausam, O. Etzioni, Conference on Empirical Methods in Natural Language Processing, 2011.

Data-Driven Response Generation in Social Media

A. Ritter, C. Cherry, B. Dolan, Conference on Empirical Methods in Natural Language Processing, 2011.

A Hierarchical Architecture for Adaptive Brain-Computer Interfacing

Mike Chung, W. Cheung, R. Scherer, R. Rao, International Joint Conference on Artificial Intelligence, 2011.

Bootstrapping Semantic Parsers from Conversations

Y. Artzi, L. Zettlemoyer, Conference on Empirical Methods in Natural Language Processing (EMNLP), 2011.

Knowledge-Based Weak Supervision for Information Extraction of Overlapping Relations

R. Hoffmann, C. Zhang, X. Ling, L. Zettlemoyer, D. Weld, Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL), 2011.
Downloads: http://homes.cs.washington.edu/~raphaelh/mr/index.html Source Code

Heuristic Search for Generalized Stochastic Shortest Path MDPs

A. Kolobov,  Mausam, D. Weld, H. Geffner, International Conference on Automated Planning and Scheduling, 2011.

Question Detection In Spoken Conversations Using Textual Conversations

A. Margolis, M. Ostendorf, Annual Meeting of the Association for Computational Linguistics, 2011.

An Analysis of Open Information Extraction based on Semantic Role Labeling

J. Christensen,  Mausam, S. Soderland, O. Etzioni, International Conference on Knowledge Capture, 2011.

Parallel Coordinate Descent for L1-Regularized Loss Minimization

J. Bradley, A. Kyrola, D. Bickson, C. Guestrin, International Conference on Machine Learning , 2011.

A Class of Submodular Functions for Document Summarization

H. Lin, J. Bilmes, Annual Meeting of the Association for Computational Linguistics, 2011.

Towards Scalable MDP Algorithms

A. Kolobov,  Mausam, D. Weld, Twenty-Second International Joint Conference on Artificial Intelligence, AAAI Press, 2011.
Downloads: https://www.aaai.org/ocs/index.php/IJCAI/IJCAI11/paper/view/2911/3611 PDF

Word Alignment Via Submodular Maximization Over Matroids

H. Lin, J. Bilmes, Annual Meeting of the Association for Computational Linguistics, 2011.

A General Perspective on Gaussian Filtering and Smoothing: Explaining Current and Deriving new Algorithms

M. Deisenroth, H. Ohlsson, American Control Conference, 2011.

Predictive Coding

Y. Huang, R. Rao, Wiley Interdisciplinary Reviews, 2011.

Inference Over the Web

S. Schoenmackers, PHD Thesis, 2011.

Implementing Weighted Abduction in Markov Logic

J. Blythe, J. Hobbs, P. Domingos, R. Kate, R. Mooney, International Conference on Computational Semantics, 2011.

Autonomous Generation of Complete 3D Object Models Using Next Best View Manipulation Planning

M. Krainin, B. Curless, D. Fox, ICRA, 2011.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/nbv-icra-11-... PDF
http://www.cs.washington.edu/ai/Mobile_Robotics/bibtex/Kra11Aut.bib bibtex

Learning General Connotation of Words using Graph-based Algorithms

S. Feng, R. Bose, Y. Choi, Empirical Methods in Natural Language Processing (EMNLP), 2011.

Learning GP-BayesFilters via Gaussian Process Latent Variable Models

J. Ko, D. Fox, Autonomous Robots 30:1, 2011.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/gpbf-learnin... PDF

Language of Vandalism: Improving Wikipedia Vandalism Detection via Stylometric Analysis

M. Harpalani, M. Hart, S. Signh, R. Johnson, Y. Choi, Association for Computational Linguistics (ACL), 2011.

Gender Attribution: Tracing Stylometric Evidence Beyond Topic and Genre

R. Sarawgi, K. Gajulapalli, Y. Choi, Conference on Computational Natural Language Learning (CoNLL), Association for Computational Linguistics, 2011.

HeatWave: Thermal Imaging for Surface User Interaction

E. Larson, G. Cohn, S. Gupta, X. Ren, B. Harrison, D. Fox, S. Patel, CHI, 2011.  Honorable Mention Award
Downloads: http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/HeatWave-CHI... PDF

Hierarchical Matching Pursuit for Recognition: Architecture and Fast Algorithms

L. Bo, X. Ren, D. Fox, NIPS, 2011.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/hierarchical... PDF
http://www.cs.washington.edu/homes/lfb/paper/nips11.bib BIB
http://www.cs.washington.edu/ai/Mobile_Robotics/projects/kdes/ Code

Learning to Control a Low-Cost Manipulator Using Data-Efficient Reinforcement Learning

M. Deisenroth, D. Fox, RSS, 2011.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/robot-rl-rss... PDF

Visual Odometry and Mapping for Autonomous Flight Using an RGB-D Camera

A. Huang, N. Roy, A. Bachrach, P. Henry, M. Krainin, D. Maturana, D. Fox, ISRR, 2011.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/Huang-ISRR-2... PDF
http://www.cs.washington.edu/ai/Mobile_Robotics/bibtex/Hua11Vis.bib bibtex

RGB-D Object Discovery Via Multi-Scene Analysis

E. Herbst, X. Ren, D. Fox, IROS, 2011.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/iros11-objec... PDF
http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/herbst-iros1... slides
http://abstract.cs.washington.edu/~eherbst/papers/iros11.bib bibtex

Finding Deceptive Opinion Spam by Any Stretch of the Imagination

M. Ott, Y. Choi, C. Cardie, J.T. Hancock, Association for Computational Linguistics (ACL), 2011.

Sparse Distance Learning for Object Recognition Combining RGB and Depth Information

K. Lai, L. Bo, R. X., D. Fox, ICRA, 2011.  Best Vision Paper Award
Downloads: http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/sparse-dista... PDF http://www.cs.washington.edu/homes/kevinlai/publications/lai_icra11b.bib bibtex http://www.cs.washington.edu/homes/kevinlai/publications/lai_icra11b.pptx slides

Toward Object Discovery and Modeling via 3-D Scene Comparison

E. Herbst, P. Henry, X. Ren, D. Fox, ICRA, 2011.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/icra11-scene... PDF
http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/herbst-icra1... slides
http://abstract.cs.washington.edu/~eherbst/papers/icra11.bib bibtex

Object Recognition with Hierarchical Kernel Descriptors

L. Bo, K. Lai, X. Ren, D. Fox, CVPR, 2011.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/hkdes-cvpr-1... PDF
http://www.cs.washington.edu/homes/kevinlai/publications/bo_cvpr11.bib bibtex

Manipulator and Object Tracking for In-Hand 3D Object Modeling

M. Krainin, P. Henry, X. Ren, D. Fox, International Journal of Robotics Research 30:9, 2011.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/ijrr-11-trac... PDF
http://www.cs.washington.edu/ai/Mobile_Robotics/bibtex/Kra11Man.bib bibtex

Interactive 3D Modeling of Indoor Environments with a Consumer Depth Camera

H. Du, P. Henry, X. Ren, D. Fox, D. Goldman, S. Seitz, UbiComp, 2011.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/ubicomp-2011... PDF

Depth Kernel Descriptors for Object Recognition

L. Bo, X. Ren, D. Fox, IROS, 2011.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/dkdes-iros-1... PDF
http://www.cs.washington.edu/homes/lfb/paper/iros11.bib BIB
http://www.cs.washington.edu/ai/Mobile_Robotics/projects/kdes/ Code

Gambit: An Autonomous Chess Playing Manipulator

C. Matuszek, B. Mayton, R. Aimi, L. Bo, M. Deisenroth, R. Chu, M. Kung, L. LeGrand, J. Smith, D. Fox, ICRA, 2011.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/chess-icra-1... PDF

Classification and Semantic Mapping of Urban Environments

B. Douillard, D. Fox, F. Ramos, H. Durrant-Whyte, International Journal of Robotics Research 30:1, 2011.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/urban-classi... PDF

A Large-Scale Hierarchical Multi-View RGB-D Object Dataset

K. Lai, L. Bo, X. Ren, D. Fox, ICRA, 2011.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/rgbd-dataset... PDF
http://www.cs.washington.edu/homes/kevinlai/publications/lai_icra11a.bib bibtex
http://www.cs.washington.edu/homes/kevinlai/publications/lai_icra11a.ppt poster
http://www.cs.washington.edu/rgbd-dataset dataset

Composing Simple Image Descriptions Using Web-scale N-grams

S. Li, G. Kulkarni, T.L. Berg, A.C. Berg, Y. Choi, Conference on Computational Natural Language Learning (CoNLL), Association for Computational Linguistics, 2011.

Baby talk: Understanding and generating simple image descriptions

G. Kulkarni, V. Premraj, S. Dhar, S. Li, Y. Choi, A.C. Berg, T.L. Berg, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011.

A Scalable Tree-based Approach for Joint Object and Pose Recognition

K. Lai, L. Bo, X. Ren, D. Fox, AAAI, 2011.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/scalable-rec... PDF
http://www.cs.washington.edu/homes/kevinlai/publications/lai_aaai11.bib bibtex
http://www.cs.washington.edu/homes/kevinlai/publications/lai_aaai11.pptx slides

Online Structure Learning for Markov Logic Networks

T. Huynh, R. Mooney, The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2011.

Parallel Gibbs Sampling: From Colored Fields to Thin Junction Trees

J. Gonzalez, Y. Low, A. Gretton, C. Guestrin, 14th International Conference on Artificial Intelligence and Statistics, 2011.

PILCO: A Model-Based and Data-Efficient Approach to Policy Search

M. Deisenroth, C. Rasmussen, International Conference on Machine Learning, 2011.

Fault identification via non-parametric belief propagation

D. Bickson, D. Baron, A. Ihler, H. Avissar, D. Dolev, IEEE Transactions on Signal Processing, 2011.

Probabilistic Theorem Proving

V. Gogate, P. Domingos, Uncertainty in Artificial Intelligence, 2011.

Approximation by Quantization

V. Gogate, P. Domingos, Uncertainty in Artificial Intelligence, 2011.

Sum-Product Networks: A New Deep Architecture

H. Poon, P. Domingos, Uncertainty in Artificial Intelligence, 2011.

2010

Lifted Inference Seen from the Other Side: The Tractable Features

A. Jha, V. Gogate, A. Meliou, D. Suciu, Annual Conference on Neural Information Processing Systems, 2010.

Reducing Model Bias in Reinforcement Learning

M. Deisenroth, C. Rasmussen, Annual Conference on Neural Information Processing Systems, 2010.

Learning Efficient Markov Networks

V. Gogate, W. Webb, P. Domingos, Annual Conference on Neural Information Processing Systems, 2010.

Approximate Inference by Compilation to Arithmetic Circuits

D. Lowd, P. Domingos, Annual Conference on Neural Information Processing Systems, 2010.

A rational decision making framework for inhibitory control

P. Shenoy, R. Rao, A. Yu, Annual Conference on Neural Information Processing Systems, 2010.

Decision Making under Uncertainty: A Neural Model based on Partially Observable Markov Decision Processes

R. Rao, Frontiers in Computational Neuroscience, 2010.

Commonsense from the Web: Relation Properties

T. Lin,  Mausam, O. Etzioni, AAAI Fall Symposium Series, 2010.

Identifying Functional Relations in Web Text

T. Lin,  Mausam, O. Etzioni, Conference on Empirical Methods in Natural Language Processing, 2010.

Inducing Probabilistic CCG Grammars from Logical Form with Higher-order Unification

T. Kwiatkowski, L. Zettlemoyer, S. Goldwater, M. Steedman, Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2010.

Learning First-Order Horn Clauses from Web Text

S. Schoenmackers, J. Davis, O. Etzioni, D. Weld, Conference on Empirical Methods in Natural Language Processing, 2010.

Modeling and Reasoning about Success, Failure, and Intent of Multi-Agent Activities

A. Sadilek, H. Kautz, International Conference on Ubiquitous Computing, 2010.

Imitation Learning with Hierarchical Actions

A. Friesen, R. Rao, IEEE International Conference on Development and Learning, 2010.

Recognizing Multi-Agent Activities from GPS Data

A. Sadilek, H. Kautz, AAAI Conference on Artificial Intelligence, 2010.

Reading Between the Lines: Learning to Map High-level Instructions to Commands

S.R.K. Branavan, L. Zettlemoyer, R. Barzilay, Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL), 2010.

Panlingual Lexical Translation via Probabilistic Inference

Mausam, S. Soderland, O. Etzioni, AAAI Conference on Artificial Intelligence, 2010.

SixthSense: Fast and Reliable Recognition of Dead Ends in MDPs

A. Kolobov,  Mausam, D. Weld, AAAI Conference on Artificial Intelligence, 2010.

User-Specific Learning for Recognizing a Singer’s Intended Pitch

A. Guillory, S. Basu, D. Morris, AAAI Conference on Artificial Intelligence, 2010.

Open Information Extraction using Wikipedia

F. Wu, D. Weld, Annual Meeting of the Association for Computational Linguistics, 2010.

Unsupervised Ontology Induction from Text

H. Poon, P. Domingos, Annual Meeting of the Association for Computational Linguistics, 2010.

Temporal Information Extraction

X. Ling, D. Weld, AAAI Conference on Artificial Intelligence, 2010.
Downloads:

http://ai.cs.washington.edu/www/media/downloadable/media/tie_data.tar.gz Data Set

Decision-Theoretic Control for Crowdsourced Workflows

P. Dai,  Mausam, D. Weld, AAAI Conference on Artificial Intelligence, 2010.

Bayesian Abductive Logic Programs

S. Raghavan, R. Mooney, Workshop on Statistical Relational AI, 2010.

Approximate Lifted Belief Propagation

P. Singla, A. Nath, P. Domingos, Workshop on Statistical Relational AI, 2010.

A Latent Dirichlet Allocation method for Selectional Preferences

A. Ritter,  Mausam, O. Etzioni, Annual Meeting of the Association for Computational Linguistics, 2010.

Discovering Long Range Properties of Social Networks with Multi-Valued Time-Inhomogeneous Models

D. Wyatt, T. Choudhury, J. Bilmes, AAAI Conference on Artificial Intelligence, 2010.

Efficient Belief Propagation for Utility Maximization and Repeated Inference

A. Nath, P. Domingos, AAAI Conference on Artificial Intelligence, 2010.

Exploiting Logical Structure in Lifted Probabilistic Inference

V. Gogate, P. Domingos, Workshop on Statistical Relational AI, 2010.

Efficient Lifting for Online Probabilistic Inference

A. Nath, P. Domingos, AAAI Conference on Artificial Intelligence, 2010.
Downloads:

http://ml.cs.washington.edu/www/media/downloadable/media/dlnc-videos.tgz Dataset

Online Max-Margin Weight Learning with Markov Logic Networks

T. Huynh, R. Mooney, Workshop on Statistical Relational AI, 2010.

Extracting Sequences from the Web

A. Fader, S. Soderland, O. Etzioni, Annual Meeting of the Association for Computational Linguistics, 2010.

Machine Reading: A "Killer App" for Statistical Relational AI

H. Poon, P. Domingos, Workshop on Statistical Relational AI, 2010.

Machine Reading: from Wikipedia to the Web

F. Wu, PHD Thesis, 2010.

Leveraging Ontologies for Lifted Probabilistic Inference and Learning

C. Kiddon, P. Domingos, Workshop on Statistical Relational AI, 2010.

Learning 5000 Relational Extractors

R. Hoffmann, D. Weld, Annual Meeting of the Association for Computational Linguistics, 2010.

Formula-Based Probabilistic Inference

V. Gogate, P. Domingos, Uncertainty in Artificial Intelligence, 2010.

Grammar Prototyping and Testing with the LinGO Grammar Matrix Customization System

E. Bender, S. Drellishak, A. Fokkens, M.W. Goodman, D. Mills, L. Poulson, S. Saleem, Annual Meeting of the Association for Computational Linguistics, 2010.

Unsupervised Modeling of Twitter Conversations

A. Ritter, C. Cherry, B. Dolan, Annual Conference of the North American Chapter of the Association for Computational Linguistics, 2010.

Testing a Grammar Customization System with Sahaptin

S. Drellishak, Annual Conference of the North American Chapter of the Association for Computational Linguistics, 2010.

Joint Inference for Knowledge Extraction from Biomedical Literature

H. Poon, L. Vanderwende, Annual Conference of the North American Chapter of the Association for Computational Linguistics, 2010.

Inverse Optimal Control with Linearly Solvable MDPs

K. Dvijotham, E. Todorov, International Conference on Machine Learning, 2010.

Interactive Submodular Set Cover

A. Guillory, J. Bilmes, International Conference on Machine Learning, 2010.

Bottom-Up Learning of Markov Network Structure

J. Davis, P. Domingos, International Conference on Machine Learning, 2010.

Learning Markov Logic Networks Using Structural Motifs

S. Kok, P. Domingos, International Conference on Machine Learning, 2010.

Hitting the Right Paraphrases in Good Time

S. Kok, C. Brockett, Annual Conference of the North American Chapter of the Association for Computational Linguistics, 2010.

Machine Reading at the University of Washington

H. Poon, J. Christensen, P. Domingos, O. Etzioni, R. Hoffmann, C. Kiddon,  Mausam, A. Ritter, S. Soderland, D. Weld, F. Wu, T. Lin, X. Ling, S. Schoenmackers, Annual Conference of the North American Chapter of the Association for Computational Linguistics, 2010.

Semantic Role Labeling for Open Information Extraction

Mausam, S. Soderland, O. Etzioni, J. Christensen, Annual Conference of the North American Chapter of the Association for Computational Linguistics, 2010.

Supporting rule-based representations with corpus-derived lexical information

A. Zaenen, C. Condoravdi, D. Bobrow, R. Hoffmann, Annual Conference of the North American Chapter of the Association for Computational Linguistics, 2010.

Learning to Navigate Through Crowded Environments

P. Henry, C. Vollmer, B. Ferris, D. Fox, ICRA, 2010.
Downloads:

/sites/default/files/ai/papers/crowd-navigation-icra-10.pdf PDF

Classical Planning in MDP Heuristics: With a Little Help from Generalization

A. Kolobov,  Mausam, D. Weld, International Conference on Automated Planning and Scheduling, 2010.

Grammar Customization

E.M. Bender, S. Drellishak, A. Fokkens, L. Poulson, S. Saleem, Research on Language and Computation 8:1, 2010.

Machine Reading: from Wikipedia to the Web

F. Wu, Computer Science & Engineering PhD, 2010.

Object Recognition in 3D Point Clouds Using Web Data and Domain Adaptation

K. Lai, D. Fox, International Journal of Robotics Research 29:8, 2010.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/scan-domain-... PDF
http://www.cs.washington.edu/homes/kevinlai/publications/lai_ijrr10.bib bibtex

Kernel Descriptors for Visual Recognition

L. Bo, X. Ren, D. Fox, NIPS, 2010.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/kdes-nips-10... PDF
http://www.cs.washington.edu/homes/lfb/paper/nips10.bib BIB
http://www.cs.washington.edu/ai/Mobile_Robotics/projects/kdes/ Code

RGB-D Mapping: Using Depth Cameras for Dense 3D Modeling of Indoor Environments

P. Henry, M. Krainin, E. Herbst, X. Ren, D. Fox, ISER, 2010.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/3d-mapping-i... PDF
http://www.cs.washington.edu/ai/Mobile_Robotics/bibtex/Hen10RGB.bib bibtex

Following Directions Using Statistical Machine Translation

C. Matuszek, D. Fox, K. Koscher, HRI, 2010.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/following-di... PDF

OneBusAway: Results from Providing Real-Time Arrival Information for Public Transit

B. Ferris, K. Watkins, A. Borning, ACM Conference on Human Factors in Computing Systems (CHI), 2010.  Best Paper nomination.

OneBusAway: Location-Aware Tools for Improving Public Transit Usability

B. Ferris, K. Watkins, A. Borning, IEEE Pervasive Computing, 2010.

Connecting the Dots Between News Articles

D. Shahaf, C. Guestrin, Knowledge Discovery and Data Mining, 2010.

Analysis of a Probabilistic Model of Redundancy in Unsupervised Information Extraction

O. Etzioni, S. Soderland, D. Downey, Artificial Intelligence 174:11, 2010.

Twin Gaussian Processes for Structured Prediction

L. Bo, C. Sminchisescu, International Journal of Computer Vision, 2010.

Efficient Reinforcement Learning using Gaussian Processes

M. Deisenroth, KIT Scientific Publishing, 2010.

Character Animation in Two-Player Adversarial Games

K. Wampler, E. Andersen, E. Herbst, Y. Lee, Z. Popovic, ACM Transactions on Graphics, 2010.

Panlingual Lexical Translation via Probabilistic Inference

Mausam, S. Soderland, O. Etzioni, D. Weld, J. Bilmes, K. Reiter, M. Skinner, M. Sammer, Artificial Intelligence, 2010.

State-Space Inference and Learning with Gaussian Processes

R. Turner, M. Deisenroth, C. Rasmussen, International Conference on Artificial Intelligence and Statistics, 2010.

2009

Competitive Learning for Deep Temporal Networks

R. Gens, P. Domingos, Annual Conference on Neural Information Processing Systems, 2009.

Filter, Rank, and Transfer the Knowledge: Learning to Chat

S. Jafarpour, C. Burges, A. Ritter, Annual Conference on Neural Information Processing Systems, 2009.

Dynamic Multi-Valued Network Models for Predicting Face-to-Face Conversations

D. Wyatt, J. Bilmes, T. Choudhury, Annual Conference on Neural Information Processing Systems, 2009.

Label Selection on Graphs

A. Guillory, J. Bilmes, Annual Conference on Neural Information Processing Systems, 2009.

Conditional Neural Fields

J. Peng, L. Bo, J. Xu, Annual Conference on Neural Information Processing Systems, 2009.

Efficient Match Kernels between Sets of Features for Visual Recognition

L. Bo, C. Sminchisescu, Annual Conference on Neural Information Processing Systems, 2009.

System Identification in Gaussian Process Dynamical Systems

R. Turner, M. Deisenroth, C. Rasmussen, Annual Conference on Neural Information Processing Systems, 2009.

Identifying Interesting Assertions from the Web

T. Lin, O. Etzioni, J. Fogarty, ACM Conference on Information and Knowledge Management, 2009.

Semi-Supervised Learning of Semantic Classes for Query Understanding – from the Web and for the Web

Y.Y. Wang, R. Hoffmann, X. Li, J. Szymanski, ACM Conference on Information and Knowledge Management, 2009.

A Spotlight on Security and Privacy Risks with Future Household Robots: Attacks and Lessons

T. Denning, C. Matuszek, K. Koscher, J. Smith, T. Kohno, International Conference on Ubiquitous Computing, 2009.

Efficient Reinforcement Learning for Motor Control

M. Deisenroth, C. Rasmussen, PhD Workshop on Systems and Control, 2009.

Max-Margin Weight Learning for Markov Logic Networks

T. Huynh, R. Mooney, European Conference on Machine Learning, 2009.

Focused Topological Value Iteration

P. Dai,  Mausam, D. Weld, International Conference on Automated Planning and Scheduling, 2009.

Learning to Disambiguate Search Queries from Short Sessions

L. Mihalkova, R. Mooney, European Conference on Machine Learning, 2009.

Reinforcement Learning for Mapping Instructions to Actions

S.R.K. Branavan, H. Chen, L. Zettlemoyer, R. Barzilay, Proceeding of the Annual Meeting of the Association for Computational Linguistics (ACL), 2009.  *Best Paper Award*

Compiling a Massive, Multilingual Dictionary via Probabilistic Inference

Mausam, S. Soderland, O. Etzioni, D. Weld, M. Skinner, J. Bilmes, Annual Meeting of the Association for Computational Linguistics, 2009.

Learning Context-dependent Mappings from Sentences to Logical Form

L. Zettlemoyer, M. Collins, Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL), 2009.

A Rose is a Roos is a Ruusu: Querying Translations for Web Image Search

J. Christensen,  Mausam, O. Etzioni, Annual Meeting of the Association for Computational Linguistics, 2009.

Unsupervised Semantic Parsing

H. Poon, P. Domingos, Conference on Empirical Methods in Natural Language Processing, 2009.

Lemmatic Machine Translation

S. Soderland,  Mausam, O. Etzioni, C. Lim, J. Pool, B. Qin, Machine Translation Summit, 2009.

ReTrASE: Intergating Paradigms for Approximate Probabilistic Planning

A. Kolobov,  Mausam, D. Weld, International Joint Conference on Artificial Intelligence, 2009.

A Language for Relational Decision Theory

A. Nath, P. Domingos, International Workshop on Statistical Relational Learning, 2009.

Learning a Theory of Causality

N. Goodman, T. Ullman, J. Tenenbaum, Conference of the Cognitive Science Society, 2009.

Sensing and Predicting the Pulse of the City through Shared Bicycling

J. Froehlich, J. Neumann, N. Oliver, International Joint Conference on Artificial Intelligence, 2009.

Domain-Independent, Automatic Partitioning for Probabilistic Planning

P. Dai,  Mausam, D. Weld, International Joint Conference on Artificial Intelligence, 2009.

Cause and Intent: Social Reasoning in Causal Learning

N. Goodman, C. Baker, J. Tenenbaum, Conference of the Cognitive Science Society, 2009.

Evaluating online text classification algorithms for email prediction in TaskTracer

V. Keiser, T. Dietterich, Conference on Email and Anti-Spam, 2009.

Analytic Moment-based Gaussian Process Filtering

M. Deisenroth, M. Huber, U. Hanebeck, International Conference on Machine Learning, 2009.

Distributed Parallel Inference on Large Factor Graphs

J. Gonzalez, Y. Low, C. Guestrin, D. O'Hallaron, Uncertainty in Artificial Intelligence, 2009.

Deep Transfer via Second-Order Markov Logic

J. Davis, P. Domingos, International Conference on Machine Learning, 2009.

Unsupervised Morphological Segmentation with Log-Linear Models

H. Poon, C. Cherry, K. Toutanova, Annual Conference of the North American Chapter of the Association for Computational Linguistics, 2009.

Turning Down the Noise in the Blogosphere

K. El-Arini, G. Veda, D. Shahaf, C. Guestrin, Knowledge Discovery and Data Mining, 2009.

Learning Thin Junction Trees via Graph Cuts

D. Shahaf, A. Chechetka, C. Guestrin, International Conference on Artificial Intelligence and Statistics, 2009.

Amplifying Community Content Creation with Mixed Initiative Information Extraction

R. Hoffmann, S. Amershi, K. Patel, F. Wu, J. Fogarty, D. Weld, Conference on Human Factors in Computing Systems, 2009.

Amplifying Community Content Creation with Mixed Initiative Information Extraction

R. Hoffmann, S. Amershi, K. Patel, F. Wu, J. Fogarty, D. Weld, Conference on Human Factors in Computing Systems, 2009.

Residual Splash for Optimally Parallelizing Belief Propagation

J. Gonzalez, Y. Low, C. Guestrin, International Conference on Artificial Intelligence and Statistics, 2009.

What Is This, Anyway: Automatic Hypernym Discovery

A. Ritter, S. Soderland, O. Etzioni, AAAI Spring Symposium Series, 2009.

Collective Modeling of Human Social Behavior

D. Wyatt, AAAI Spring Symposium Series, 2009.

Learning to Generalize for Complex Selection Tasks

A. Ritter, S. Basu, International Conference on Intelligent User Interfaces, 2009.

Detecting and Correcting User Activity Switches: Algorithms and Interfaces

J. Shen, J. Irvine, X. Bao, M. Goodman, S. Kolibaba, A. Tran, F. Carl, B. Kirschner, S. Stumpf, T. Dietterich, International Conference on Intelligent User Interfaces, 2009.

Discovering Frequent Work Procedures From Resource Connections

J. Shen, E. Fitzhenry, T. Dietterich, International Conference on Intelligent User Interfaces, 2009.

A game-building environment for research in collaborative design

S. Tanimoto, T. Robison, S. Fan, Int'l Symposium on Artificial Intelligence in Games, IEEE, 2009.

Faring with Facets: Building and Using Databases of Student Misconceptions

T. Madhyastha, S. Tanimoto, Journal of Interactive Multimedia in Education, The Open University, 2009.

3D Laser Scan Classification Using Web Data and Domain Adaptation

K. Lai, D. Fox, RSS, 2009.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/scan-domain-... PDF
http://www.cs.washington.edu/homes/kevinlai/publications/lai_rss09.bib bibtex
http://www.cs.washington.edu/homes/kevinlai/publications/lai_rss09.ppt poster

Anatomically Correct Testbed Hand Control: Muscle and Joint Control Strategies

A. Deshpande, J. Ko, D. Fox, Y. Matsuoka, ICRA, 2009.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/act-hand-icr... PDF

GP-BayesFilters: Bayesian Filtering Using Gaussian Process Prediction and Observation Models

J. Ko, D. Fox, Autonomous Robots 27:1, 2009.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/gp-bayesfilt... PDF

Learning GP-BayesFilters via Gaussian Process Latent Variable Models

J. Ko, D. Fox, RSS, 2009.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/gpbf-learnin... PDF

Unsupervised Methods for Determining Object and Relation Synonyms on the Web

A. Yates, O. Etzioni, Journal of Artificial Intelligence Research, 2009.

Probabilistic Abduction using Markov Logic Networks

R. Kate, R. Mooney, IJCAI Workshop on Plan, Activity, and Intent Recognition, 2009.

Learning Markov Logic Network Structure via Hypergraph Lifting

S. Kok, P. Domingos, International Conference on Machine Learning, 2009.

Temporal-Informatics of the WWW

E. Adar, PhD Thesis, 2009.

Integrating Logic and Probability: Algorithmic Improvements in Markov Logic Networks

M. Biba, PhD Thesis, 2009.

A Heuristic Search Approach to Planning with Continuous Resources in Stochastic Domains

N. Meuleau, E. Benazera, R. Brafman, E. Hansen,  Mausam, Journal of Artificial Intelligence Research, 2009.

A Family of Large Margin Linear Classifiers and Its Applications to Feature-changing Problems

J. Shen, T. Dietterich, SIAM International Conference on Data Mining, 2009.

2008

Look Ma, No Hands: Analyzing the Monotonic Feature Abstraction for Text Classification

D. Downey, O. Etzioni, Annual Conference on Neural Information Processing Systems, 2008.

Open Information Extraction from the Web

O. Etzioni, S. Soderland, D. Weld, M. Banko, Communications of the ACM, 2008.

Learning and Using Relational Theories

C. Kemp, N. Goodman, J. Tenenbaum, Annual Conference on Neural Information Processing Systems, 2008.

Integrating Sensing and Cueing for More Effective Activity Reminders

J. Modayil, R. Levinson, C. Harman, D. Halper, H. Kautz, AAAI Fall Symposium Series, 2008.

A Generative Model for Parsing Natural Language to Meaning Representations

W. Lu, H.T. Ng, W.S. Lee, L. Zettlemoyer, Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2008.

Scaling Textual Inference to the Web

S. Schoenmackers, O. Etzioni, D. Weld, Conference on Empirical Methods in Natural Language Processing, 2008.

Joint Unsupervised Coreference Resolution with Markov Logic

H. Poon, P. Domingos, Conference on Empirical Methods in Natural Language Processing, 2008.

It's a Contradiction -- No, It's Not: A Case Study using Functional Relations

A. Ritter, D. Downey, S. Soderland, O. Etzioni, Conference on Empirical Methods in Natural Language Processing, 2008.

Towards the Automated Social Analysis of Situated Speech Data

D. Wyatt, T. Choudhury, J. Bilmes, J. Kitts, International Conference on Ubiquitous Computing, 2008.

Information Extraction from Wikipedia: Moving Down the long Tail

F. Wu, R. Hoffmann, D. Weld, Knowledge Discovery and Data Mining, 2008.

Theory-Based Social Goal Inference

C. Baker, N. Goodman, J. Tenenbaum, Conference of the Cognitive Science Society, 2008.

A General Method for Reducing the Complexity of Relational Inference and its Application to MCMC

H. Poon, P. Domingos, M. Sumner, AAAI Conference on Artificial Intelligence, 2008.

Augmenting Wikipedia-Extraction with Results from the Web

F. Wu, R. Hoffmann, D. Weld, AAAI Conference on Artificial Intelligence, 2008.

Hybrid Markov Logic Networks

J. Wang, P. Domingos, AAAI Conference on Artificial Intelligence, 2008.

Theory Acquisition and the Language of Thought

C. Kemp, N. Goodman, J. Tenenbaum, Conference of the Cognitive Science Society, 2008.

Learning Hidden Curved Exponential Random Graph Models to Infer Face-to-Face Interaction Networks from Situated Speech Data

D. Wyatt, T. Choudhury, J. Bilmes, AAAI Conference on Artificial Intelligence, 2008.

Intelligence in Wikipedia

D. Weld, F. Wu, E. Adar, S. Amershi, J. Fogarty, R. Hoffmann, K. Patel, M. Skinner, AAAI Conference on Artificial Intelligence, 2008.

Lifted First-Order Belief Propagation

P. Singla, P. Domingos, AAAI Conference on Artificial Intelligence, 2008.

Modeling Semantic Cognition as Logical Dimensionality Reduction

Y. Katz, N. Goodman, K. Kersting, C. Kemp, J. Tenenbaum, Conference of the Cognitive Science Society, 2008.

Partitioned External Memory Value Iteration

P. Dai,  Mausam, D. Weld, AAAI Conference on Artificial Intelligence, 2008.

Evaluating a Crosslinguistic Grammar Resource: A Case Study of Wambaya

E. Bender, Annual Meeting of the Association for Computational Linguistics, 2008.

The Tradeoffs Between Open and Traditional Relation Extraction

M. Banko, O. Etzioni, Annual Meeting of the Association for Computational Linguistics, 2008.

Improving the Performance of Motor-Impaired Users with Automatically-Generated, Ability-Based Interfaces

K. Gajos, J. Wobbrock, D. Weld, Conference on Human Factors in Computing Systems, 2008.

Automatically Refining the Wikipedia Infobox Ontology

F. Wu, D. Weld, International World Wide Web Conference, 2008.

Evaluating Visual Cues for Window Switching on Large Screens

R. Hoffmann, P. Baudisch, D. Weld, Conference on Human Factors in Computing Systems, 2008.

Evaluating Visual Cues for Window Switching on Large Screens

R. Hoffmann, P. Baudisch, D. Weld, Conference on Human Factors in Computing Systems, 2008.

Predictability and Accuracy in Adaptive User Interfaces

K. Gajos, K. Everitt, D. Tan, M. Czerwinski, D. Weld, Conference on Human Factors in Computing Systems, 2008.

Recovering from Errors during Programming by Demonstration

J.H. Chen, D. Weld, International Conference on Intelligent User Interfaces, 2008.

Recovering from Errors during Programming by Demonstration

J.H. Chen, D. Weld, International Conference on Intelligent User Interfaces, 2008.

Lifted probabilistic inference with counting formulas

B. Milch, L. Zettlemoyer, K. Kersting, M. Haimes, L.P. Kaelbling, Proceedings of the National Conference on Artificial intelligence (AAAI), 2008.

Laser and Vision Based Outdoor Object Mapping

B. Douillard, D. Fox, F. Ramos, RSS, 2008.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/crf-mapping-... PDF

Multi-agent filtering with infinitely nested beliefs

L. Zettlemoyer, B. Milch, L.P. Kaelbling, Neural Information Processing Systems (NIPS), 2008.

Rao-Blackwellized Particle Filters for Recognizing Activities and Spatial Context From Wearable Sensors

A. Raj, A. Subramanya, D. Fox, J. Bilmes, Experimental Robotics: The 10th International Symposium, Springer Verlag 39, 2008.

GP-BayesFilters: Bayesian Filtering Using Gaussian Process Prediction and Observation Models

J. Ko, D. Fox, IROS, 2008.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/gp-bayesfilt... PDF

Distributed Multirobot Exploration, Mapping, and Task Allocation

R. Vincent, D. Fox, J. Ko, K. Konolige, B. Limketkai, B. Morisset, C. Ortiz, D. Schulz, B. Stewart, Annals of Mathematics and Artificial Intelligence 52:2–4, 2008.

Learning to Associate Image Features with CRF-Matching

F. Ramos, K. Waleed, D. Fox, ISER, 2008.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/crf-matching... PDF

Church: A Language for Generative Models

N. Goodman, V. Mansinghka, D. Roy, K. Bonawitz, J. Tenenbaum, Uncertainty in Artificial Intelligence, 2008.

Planning with Durative Actions in Stochastic Domains

Mausam, D. Weld, Journal of Artificial Intelligence Research 31, 2008.

Probabilistic Inference for Fast Learning in Control

C. Rasmussen, M. Deisenroth, Lecture Notes in Computer Science, 2008.

Discovery of Social Relationships in Consumer Photo Collections using Markov Logic

P. Singla, H. Kautz, J. Luo, A. Gallagher, International Workshop on Semantic Learning and Applications in Multimedia, 2008.

Learning Arithmetic Circuits

D. Lowd, P. Domingos, Uncertainty in Artificial Intelligence, 2008.

Extracting Semantic Networks from Text via Relational Clustering

S. Kok, P. Domingos, European Conference on Machine Learning, 2008.

2007

Creating Social Network Models from Sensor Data

D. Wyatt, T. Choudhury, J. Bilmes, Annual Conference on Neural Information Processing Systems, 2007.

Application of a transparent interface methodology to image processing

L. Cinque, S.S. Canizares, S. Tanimoto, J. Visual Languages and Computing 15:5, 2007.

Assieme: Finding and Leveraging Implicit References in a Web Search Interface for Programmers

R. Hoffmann, J. Fogarty, D. Weld, Symposium on User Interface Software and Technology, 2007.

Automatically Generating User Interfaces Adapted To User's Motor And Vision Capabilities

K. Gajos, J. Wobbrock, D. Weld, Symposium on User Interface Software and Technology, 2007.

Strategies for Lifelong Knowledge Extraction from the Web

M. Banko, O. Etzioni, International Conference on Knowledge Capture, 2007.

Assieme: Finding and Leveraging Implicit References in a Web Search Interface for Programmers

R. Hoffmann, J. Fogarty, D. Weld, Symposium on User Interface Software and Technology, 2007.

Lexical Translation with Application to Image Search on the Web

O. Etzioni, K. Reiter, S. Soderland, M. Sammer, Machine Translation Summit, 2007.

Conversation Detection and Speaker Segmentation in Privacy-Sensitive Situated Speech Data

D. Wyatt, T. Choudhury, J. Bilmes, Interspeech, 2007.

Autonomously Semantifying Wikipedia

F. Wu, D. Weld, ACM Conference on Information and Knowledge Management, 2007.

Navigating Extracted Data with Schema Discovery

O. Etzioni, M. Cafarella, D. Suciu, International Workshop on the Web and Databases, 2007.

Sparse Information Extraction: Unsupervised Language Models to the Rescue

D. Downey, S. Schoenmackers, O. Etzioni, Annual Meeting of the Association for Computational Linguistics, 2007.

Unsupervised Resolution of Objects and Relations on the Web

A. Yates, O. Etzioni, Annual Conference of the North American Chapter of the Association for Computational Linguistics, 2007.

Capturing Spontaneous Conversation and Social Dynamics: A Privacy Sensitive Data Collection Effort

D. Wyatt, T. Choudhury, H. Kautz, International Conference on Acoustic and Speech Signal Processing, 2007.

Machine Reading

O. Etzioni, M. Banko, M. Cafarella, AAAI Spring Symposium Series, 2007.

Joint Inference in Information Extraction

H. Poon, P. Domingos, AAAI Spring Symposium Series, 2007.

Locating Complex Named Entities in Web Text

D. Downey, M. Broadhead, O. Etzioni, International Joint Conference on Artificial Intelligence, 2007.

Open Information Extraction from the Web

M. Banko, M. Cafarella, S. Soderland, M. Broadhead, O. Etzioni, International Joint Conference on Artificial Intelligence, 2007.

When is temporal planning really temporal?

W. Cushing, S. Kambhampati,  Mausam, D. Weld, International Joint Conference on Artificial Intelligence, 2007.

A Privacy-Sensitive Approach to Modeling Multi-Person Conversations

D. Wyatt, T. Choudhury, J. Bilmes, H. Kautz, International Joint Conference on Artificial Intelligence, 2007.

Structured Querying of Web Text

M. Cafarella, D. Suciu, O. Etzioni, M. Banko, C. Re, Biennial Conference on Innovative Data Systems Research, 2007.

Recursive Random Fields

D. Lowd, P. Domingos, International Joint Conference on Artificial Intelligence, 2007.

A Hybridized Planner for Stochastic Domains

Mausam, P. Bertoli, D. Weld, International Joint Conference on Artificial Intelligence, 2007.

A Spatio-Temporal Probabilistic Model for Multi-Sensor Object Recognition

B. Douillard, D. Fox, F. Ramos, IROS, 2007.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/crf-scan-ana... PDF

A Spatio-Temporal Probabilistic Model for Multi-Sensor Multi-Class Object Recognition

B. Douillard, D. Fox, F. Ramos, ISRR, 2007.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/crf-scan-ana... PDF

Extracting Places and Activities from GPS Traces Using Hierarchical Conditional Random Fields

L. Liao, D. Fox, H. Kautz, International Journal of Robotics Research 26:1, 2007.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/places-ijrr-... PDF

Gaussian Processes and Reinforcement Learning for Identification and Control of an Autonomous Blimp

J. Ko, D. Klein, D. Fox, D. Hähnel, ICRA, 2007.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/gp-blimp-icr... PDF

Hierarchical Conditional Random Fields for GPS-based Activity Recognition

L. Liao, D. Fox, H. Kautz, Robotics Research – Results of the 12th International Symposium ISRR, 2007.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/places-isrr-... PDF

GP-UKF: Unscented Kalman Filters with Gaussian Process Prediction and Observation Models

J. Ko, D. Klein, D. Fox, D. Hähnel, IROS, 2007.  Best Student Paper Award
Downloads: http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/gp-ukf-iros-... PDF

WiFi-SLAM Using Gaussian Process Latent Variable Models

B. Ferris, D. Fox, N. Lawrence, IJCAI, 2007.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/gplvm-wifi-s... PDF

Towards a shared language for problem solving in design

S. Tanimoto, Symposium on the Science of Design, 2007.

Learning and Inferring Transportation Routines

L. Liao, D.  J. Patterson, D. Fox, H. Kautz, Artificial Intelligence 171:5-6, 2007.  2012 Prominent Paper Award
Downloads: http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/transportati... PDF

CRF-Filters: Discriminative Particle Filters for Sequential State Estimation

B. Limketkai, D. Fox, L. Liao, ICRA, 2007.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/crf-filters-... PDF

CRF-Matching: Conditional Random Fields for Feature-Based Scan Matching

F. Ramos, D. Fox, H. Durrant-Whyte, RSS, 2007.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/crf-matching... PDF

Efficient Failure Detection on Mobile Robots Using Particle Filters with Gaussian Process Proposals

C. Plagemann, D. Fox, W. Burgard, IJCAI, 2007.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/gp-error-mod... PDF

Training Conditional Random Fields using Virtual Evidence Boosting

L. Liao, T. Choudhury, D. Fox, H. Kautz, IJCAI, 2007.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/veb-ijcai-07... PDF

Voronoi Random Fields: Extracting the Topological Structure of Indoor Environments via Place Labeling

S. Friedman, D. Fox, H. Pasula, IJCAI, 2007.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/vrf-place-la... PDF

Sequential input graphical model assessment diagrams for analysis of student activity data

S. Tanimoto, N. Evans, A. Carlson, Int'l Conf. on Advanced Learning Technologie, IEEE, 2007.

Structured Machine Learning: Ten Problems for the Next Ten Years

P. Domingos, International Conference on Inductive Logic Programming, 2007.

Statistical Predicate Invention

S. Kok, P. Domingos, International Conference on Machine Learning, 2007.

Efficient Weight Learning for Markov Logic Networks

D. Lowd, P. Domingos, European Conference on Principles and Practice of Knowledge Discovery in Databases, 2007.

Extending Markov Logic to Model Probability Distributions in Relational Domains

D. Jain, B. Kirchlechner, M. Beetz, German Conference on Artificial Intelligence, 2007.

Markov Logic in Infinite Domains

P. Singla, P. Domingos, Uncertainty in Artificial Intelligence, 2007.

Evaluating Temporal Planning Domains

W. Cushing, S. Kambhampati, K. Talamadupula, D. Weld,  Mausam, International Conference on Automated Planning and Scheduling, 2007.

2006

Towards Activity Databases: Using Sensors and Statistical Models to Summarize People's Lives

T. Choudhury, M. Philipose, D. Wyatt, J. Lester, IEEE Data Engineering Bulletin, 2006.

Structured Queries Over Web Text

M. Cafarella, O. Etzioni, D. Suciu, IEEE Data Engineering Bulletin, 2006.

Automatically Generating Custom User Interfaces for Users With Physical Disabilities

K. Gajos, J.J. Long, D. Weld, ACM SIGACCESS Conference on Assistive Technologies, 2006.

Ambiguity Reduction for Machine Translation: Human-Computer Collaboration

M. Sammer, K. Reiter, S. Soderland, K. Kirchhoff, O. Etzioni, biennial conference of the Association for Machine Translation in the Americas, 2006.

Detecting Parser Errors Using Web-based Semantic Filters

A. Yates, S. Schoenmackers, O. Etzioni, Conference on Empirical Methods in Natural Language Processing, 2006.

Centibots: Very large scale distributed robotic teams

K. Konolige, D. Fox, C. Ortiz, A. Agno, M. Eriksen, B. Limketkai, J. Ko, B. Morisset, D. Schulz, B. Stewart, R. Vincent, Experimental Robotics: The 9th International Symposium, Springer Verlag 21, 2006.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/centibots-is... PDF

Distributed Multi-robot Exploration and Mapping

D. Fox, J. Ko, K. Konolige, B. Limketkai, B. Stewart, Proc. of the IEEE 94:7, 2006.  
Downloads: http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/multi-explor... PDF

A transparent interface to statespace search programs

S. Tanimoto, S. Levialdi, ACM Symposium on Software Visualization (SoftVis 2006), Assoc. Comput. Machin., 2006.

Recognizing Activities and Spatial Context using Wearable Sensors

A. Subramanya, A. Raj, J. Bilmes, D. Fox, UAI, 2006.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/gps-msb-uai-... PDF

Gaussian Processes for Signal Strength-Based Location Estimation

B. Ferris, D. Hähnel, D. Fox, RSS, 2006.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/gp-localizat... PDF

Machine Reading

O. Etzioni, M. Banko, M. Cafarella, AAAI Conference on Artificial Intelligence, 2006.

Entity Resolution with Markov Logic

P. Singla, P. Domingos, IEEE International Conference on Data Mining, 2006.

Challenges for Temporal Planning with Uncertain Durations

Mausam, D. Weld, International Conference on Automated Planning and Scheduling, 2006.

Markov Logic Networks

M. Richardson, P. Domingos, Machine Learning Journal, 2006.

Probabilistic Temporal Planning with Uncertain Durations

Mausam, D. Weld, AAAI Conference on Artificial Intelligence, 2006.

Sound and Efficient Inference with Probabilistic and Deterministic Dependencies

H. Poon, P. Domingos, AAAI Conference on Artificial Intelligence, 2006.

Unifying Logical and Statistical AI

P. Domingos, S. Kok, H. Poon, M. Richardson, P. Singla, AAAI Conference on Artificial Intelligence, 2006.

Memory-Efficient Inference in Relational Domains

P. Singla, P. Domingos, AAAI Conference on Artificial Intelligence, 2006.

2005

Extracting Product Features and Opinions from Reviews

O. Etzioni, A.M. Popescu, Conference on Empirical Methods in Natural Language Processing, 2005.

KnowItNow: Fast, Scalable Information Extraction from the Web

M. Cafarella, D. Downey, S. Soderland, O. Etzioni, Conference on Empirical Methods in Natural Language Processing, 2005.

Preference Elicitation for Interface Optimization

K. Gajos, D. Weld, Symposium on User Interface Software and Technology, 2005.

Probabilistic Robotics

S. Thrun, W. Burgard, D. Fox, Probabilistic Robotics, MIT Press, 2005.  

A Probabilistic Model of Redundancy in Information Extraction

D. Downey, O. Etzioni, S. Soderland, International Joint Conference on Artificial Intelligence, 2005.

Planning with Continuous Resources in Stochastic Domains

Mausam, E. Benazera, R. Brafman, N. Meuleau, E. Hansen, International Joint Conference on Artificial Intelligence, 2005.

Discriminative Training of Markov Logic Networks

P. Singla, P. Domingos, AAAI Conference on Artificial Intelligence, 2005.

Unsupervised Activity Recognition Using Automatically Mined Common Sense

D. Wyatt, M. Philipose, T. Choudhury, AAAI Conference on Artificial Intelligence, 2005.

Unsupervised Named-Entity Extraction from the Web: An Experimental Study

O. Etzioni, M. Cafarella, D. Downey, A.M. Popescu, S. Soderland, D. Weld, A. Yates, T. Shaked, Artificial Intelligence, 2005.

A Search Engine for Natural Language Applications

M. Cafarella, O. Etzioni, International World Wide Web Conference, 2005.

Location-Based Activity Recognition

L. Liao, D. Fox, H. Kautz, NIPS, 2005.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/places-nips-... PDF

Large-Scale Localization from Wireless Signal Strength

J. Letchner, D. Fox, A. LaMarca, AAAI, 2005.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/wifi-locatio... PDF

Location-Based Activity Recognition using Relational Markov Networks

L. Liao, D. Fox, H. Kautz, IJCAI, 2005.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/place-labeli... PDF

Naive Bayes Models for Probability Estimation

D. Lowd, P. Domingos, International Conference on Machine Learning, 2005.

A Hierarchical Bayesian Approach to the Revisiting Problem in Mobile Robot Map Building

D. Fox, J. Ko, K. Konolige, B. Stewart, Robotics Research: The Eleventh International Symposium, Springer Verlag, 2005.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/revisiting-i... PDF

Relational Object Maps for Mobile Robots

B. Limketkai, L. Liao, D. Fox, IJCAI, 2005.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/object-mappi... PDF

Introduction to Python for Arti cial Intelligence

S. Tanimoto, Ready Notes, IEEE Computer Society, 2005.

Fine-Grained Activity Recognition by Aggregating Abstract Object Usage

D. Patterson, D. Fox, H. Kautz, M. Philipose, Proc. of the International Symposium on Wearable Computers, 2005.  Best Paper Award
Downloads: http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/rfid-activit... PDF

Autonomous Terrain Mapping and Classification Using Hidden Markov Models

D. Wolf, G. Sukhatme, W. Fox, ICRA, 2005.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/terrain-labe... PDF

Concurrent Probabilistic Temporal Planning

Mausam, D. Weld, International Conference on Automated Planning and Scheduling, 2005.

Learning the Structure of Markov Logic Networks

S. Kok, P. Domingos, International Conference on Machine Learning, 2005.

Mining social networks for viral marketing

P. Domingos, IEEE Intelligent Systems, 2005.

Object identification with attribute-mediated dependencies

P. Singla, P. Domingos, European Conference on Principles and Practice of Knowledge Discovery in Databases, 2005.

2004

Semantic Email: Theory and Applications

L. McDowell, O. Etzioni, A. Halevy, Journal of Web Semantics, 2004.

The Specification of Agent Behavior by Ordinary People: A Case Study

L. McDowell, O. Etzioni, A. Halevy, International Semantic Web Conference, 2004.

Modern Natural Language Interfaces to Databases: Composing Statistical Parsing with Semantic Tractability

A.M. Popescu, A. Armanasu, O. Etzioni, D. Ko, A. Yates, International Conference on Computational Linguistics, 2004.

iMAP: Discovering Complex Semantic Matches between Database Schemas

R. Dhamankar, Y. Lee, A.H. Doan, A. Halevy, P. Domingos, ACM SIGMOD International Conference on Management of Data, 2004.

WebScale Information Extraction in KnowItAll (Preliminary Results)

O. Etzioni, M. Cafarella, D. Downey, S. Kok, A.M. Popescu, T. Shaked, S. Soderland, D. Weld, A. Yates, International World Wide Web Conference, 2004.

Semantic Email

O. Etzioni, L. McDowell, A. Halevy, H. Levy, International World Wide Web Conference, 2004.

SUPPLE: Automatically Generating User Interfaces

K. Gajos, D. Weld, International Conference on Intelligent User Interfaces, 2004.

Learning and Inferring Transportation Routines

L. Liao, D. Fox, H. Kautz, AAAI, 2004.  Outstanding Paper Award
Downloads: http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/gps-aaai-04.pdf PDF

Map-based Multiple Model Tracking of a Moving Object

C.T. Kwok, D. Fox, RoboCup 2004: Robot Soccer World Cup VIII 3276, 2004.  Best Paper Award
Downloads: http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/tracking-rob... PDF

Reinforcement Learning for Sensing Strategies

C.T. Kwok, D. Fox, IROS, 2004.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/active-sensi... PDF

Bayesian Color Estimation for Adaptive Vision-based Robot Localization

D. Schulz, D. Fox, IROS, 2004.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/color-labeli... PDF

Opportunity Knocks: a System to Provide Cognitive Assistance with Transportation Services

D. Patterson, L. Liao, K. Gajos, M. Collier, N. Livic, K. Olson, S. Wang, D. Fox, H. Kautz, UbiComp, 2004.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/opportunity-... PDF

Real-time particle filters

C.T. Kwok, D. Fox, M. Meilă, Proceedings of the IEEE 92:2, 2004.  
Downloads: http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/rtpf-proc-ie... PS

Mapping and Localization with RFID Technology

D. Hähnel, W. Burgard, D. Fox, K. Fishkin, M. Philipose, ICRA, 2004.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/rfid-mapping... PDF

Multi-relational record linkage

P. Singla, P. Domingos, KDD Workshop on Multi-Relational Data Mining, 2004.

Methods for Domain-Independent Information Extraction from the Web: An Experimental Comparison

O. Etzioni, M. Cafarella, D. Downey, A.M. Popescu, T. Shaked, S. Soderland, A. Yates, AAAI Conference on Artificial Intelligence, 2004.

Solving Concurrent Markov Decision Processes

Mausam, D. Weld, AAAI Conference on Artificial Intelligence, 2004.

Adversarial Classification

N. Dalvi, P. Domingos,  Mausam, S. Sanghai, D. Verma, Knowledge Discovery and Data Mining, 2004.

2003

Trust management for the Semantic Web

M. Richardson, R. Agrawal, P. Domingos, International Semantic Web Conference, 2003.

Mangrove: Enticing Ordinary People onto the Semantic Web via Instant Gratification

L. McDowell, O. Etzioni, A. Halevy, H. Levy, S. Gribble, W. Pentney, D. Verma, S. Vlasseva, International Semantic Web Conference, 2003.

Semantic Email: Adding Lightweight Data Manipulation Capabilities to the Email Habitat

O. Etzioni, A. Halevy, H. Levy, L. McDowell, International Workshop on the Web and Databases, 2003.

Towards a Theory of Natural Language Interfaces to Databases

A.M. Popescu, O. Etzioni, H. Kautz, International Conference on Intelligent User Interfaces, 2003.

A Reliable Natural Language Interface To Household Appliances

A. Yates, O. Etzioni, D. Weld, International Conference on Intelligent User Interfaces, 2003.

Inferring High-Level Behavior from Low-Level Sensors

D. Patterson, L. Liao, D. Fox, H. Kautz, UbiComp, 2003.  10 Year Impact Award
Downloads: http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/gps-ubicomp-... PDF

Bayesian Filtering for Location Estimation

D. Fox, J. Hightower, L. Liao, D. Schulz, G. Borriello, IEEE Pervasive Computing Magazine 2:3, 2003.  
Downloads: http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/bayes-filter... PDF

CentiBOTS: Large-Scale Robot Teams

K. Konolige, C. Ortiz, R. Vincent, A. Agno, M. Eriksen, B. Limetkai, M. Lewis, L. Briesemeister, E. Ruspini, D. Fox, J. Ko, B. Stewart, L. Guibas, Multi-Robot Systems: From Swarms to Intelligent Automata, Kluwer II, 2003.

People Tracking with Anonymous and ID-Sensors Using Rao-Blackwellised Particle Filters

D. Schulz, D. Fox, J. Hightower, IJCAI, 2003.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/people-track... PDF

A practical, decision-theoretic approach to multi-robot mapping and exploration

J. Ko, B. Stewart, D. Fox, K. Konolige, B. Limketkai, IROS, 2003.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/multi-explor... PDF

Voronoi Tracking: Location Estimation Using Sparse and Noisy Sensor Data

L. Liao, D. Fox, J. Hightower, H. Kautz, D. Schulz, IROS, 2003.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/voronoi-trac... PDF

The revisiting problem in mobile robot map building: A hierarchical Bayesian approach

B. Stewart, J. Ko, D. Fox, K. Konolige, UAI, 2003.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/revisiting-u... PDF

Research on Statistical Relational Learning at the University of Washington

P. Domingos, Y. Abe, C. Anderson, A. Doan, D. Fox, A. Halevy, G. Hulten, H. Kautz, T. Lau, L. Liao, J. Madhavan, D. Mausam, M. Richardson, S. Sanghai, D. Weld, S. Wolfman, Proc. of the IJCAI-2003 Workshop on Learning Statistical Models from Relational Data, 2003.

People Tracking with Mobile Robots Using Sample-based Joint Probabilistic Data Association Filters

D. Schulz, W. Burgard, D. Fox, International Journal of Robotics Research 22:2, 2003.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/people-track... PS

Real-time Particle Filters

C.T. Kwok, D. Fox, M. Meilă, NIPS, MIT Press, 2003.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/rtpf-nips-02... PS

An efficient FastSLAM Algorithm for Generating Maps of Large-Scale Cyclic Environments from Raw Laser Range Measurements

D. Hähnel, W. Burgard, D. Fox, S. Thrun, IROS, 2003.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/iros03-mappi... PDF

Adaptive Real-time Particle Filters for Robot Localization

C.T. Kwok, D. Fox, M. Meilă, ICRA, 2003.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/artpf-icra-2... PDF

Adapting the Sample Size in Particle Filters Through KLD-Sampling

D. Fox, International Journal of Robotics Research 22:12, 2003.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/adaptive-ijr... PDF

Distributed Multi-Robot Mapping

D. Fox, J. Ko, B. Stewart, K. Konolige, B. Limetkai, Multi-Robot Systems: From Swarms to Intelligent Automata, Kluwer II, 2003.

Bayesian Techniques for Location Estimation

D. Fox, J. Hightower, H. Kautz, L. Liao, D.  J. Patterson, Proc. of the UbiComp-2003 Workshop on Location-Aware Computing, 2003.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/bayes-locati... PDF

Map merging for distributed robot navigation

K. Konolige, D. Fox, J. Ko, B. Limketkai, B. Stewart, IROS, 2003.

Learning with knowledge from multiple experts

M. Richardson, P. Domingos, International Conference on Machine Learning, 2003.

Mining massive relational databases

G. Hulten, P. Domingos, Y. Abe, International Workshop on Statistical Relational Learning, 2003.

Building large knowledge bases by mass collaboration

M. Richardson, P. Domingos, International Conference on Knowledge Capture, 2003.

2002

Learning from Infinite Data in Finite Time

P. Domingos, G. Hulten, Annual Conference on Neural Information Processing Systems, 2002.

Making sensor networks practical with robots

A. LaMarca, W. Brunette, D. Koizumi, M. Lease, S.B. Sigurdsson, K. Sikorski, D. Fox, G. Borriello, Pervasive, 2002.
Downloads:

http://www.intel-research.net/Publications/Seattle/072320021541_75.pdf PDF

PlantCare: An investigation in practical ubiquitous systems

A. LaMarca, W. Brunette, D. Koizumi, M. Lease, S.B. Sigurdsson, K. Sikorski, D. Fox, G. Borriello, UbiComp, 2002.
Downloads:

http://www.intel-research.net/Publications/Seattle/072320021545_76.pdf PDF

Toward Object Mapping in Dynamic Environments With Mobile Robots

R. Biswas, B. Limketkai, S. Sanner, S. Thrun, IROS, 2002.

An Experimental Comparison of Localization Methods Continued

J.S. Gutmann, D. Fox, IROS, 2002.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/comparison-i... PS

An Overview of the Assisted Cognition Project

H. Kautz, L. Arnstein, G. Borriello, O. Etzioni, D. Fox, AAAI Workshop on Automation as Caregiver: The Role of Intelligent Technology in Elder Care, 2002.

Real-time Particle Filters Using Mixtures of Samples Sets

C.T. Kwok, D. Fox, M. Meilă, AAAI/KDD/UAI-2002 Joint Workshop on Real-Time Decision Support and Diagnosis Systems, 2002.

Intelligent Ubiquitous Computing to Support Alzheimer's Patients: Enabling the Cognitively Disabled

D. Patterson, O. Etzioni, D. Fox, H. Kautz, UbiCog '02: First International Workshop on Ubiquitous Computing for Cognitive Aids, 2002.

Mining knowledge-sharing sites for viral marketing

M. Richardson, P. Domingos, Knowledge Discovery and Data Mining, 2002.

Relational Markov models and their application to adaptive Web navigation

C. Anderson, P. Domingos, D. Weld, Knowledge Discovery and Data Mining, 2002.

Mining Complex Models from Arbitrarily Large Databases in Constant Time

G. Hulten, P. Domingos, Knowledge Discovery and Data Mining, 2002.

Learning to Map between Ontologies on the Semantic Web

A.H. Doan, J. Madhavan, P. Domingos, A. Halevy, International World Wide Web Conference, 2002.

2001

A General Method for Scaling Up Machine Learning Algorithms and its Application to Clustering

P. Domingos, G. Hulten, International Conference on Machine Learning, 2001.

Reconciling Schemas of Disparate Data Sources: A Machine-Learning Approach

A.H. Doan, P. Domingos, A. Halevy, ACM SIGMOD International Conference on Management of Data, 2001.

Distributed Transcripts for Online Learning: Design Issues

S.L. Tanimoto, Journal of Interactive Media in Education:3, 2001.

Tracking Multiple Moving Targets with a Mobile Robot using Particle Filters and Statistical Data Association

D. Schulz, W. Burgard, D. Fox, A.  B. Cremers, ICRA, 2001.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/multi-tracki... PS

Integrated Plan-based Control of Autonomous Service Robots in Human Environments

M. Beetz, T. Arbuckle, T. Belker, M. Bennewitz, W. Burgard, A.B. Cremers, D. Fox, H. Grosskreutz, D. Hähnel, D. Schulz, IEEE Intelligent Systems 16:5, 2001.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/plan-based-r... PS

Robust Monte Carlo localization for mobile robots

S. Thrun, D. Fox, W. Burgard, F. Dellaert, Artificial Intelligence 128:1-2, 2001.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/mcl-mixture-... PS

KLD-Sampling: Adaptive Particle Filters

D. Fox, NIPS, MIT Press, 2001.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/adaptive-sam... PS

Tracking Multiple Moving Objects with a Mobile Robot

D. Schulz, W. Burgard, D. Fox, CVPR, 2001.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/multi-tracki... PS

Mining the network value of customers

P. Domingos, M. Richardson, Knowledge Discovery and Data Mining, 2001.

The intelligent surfer: Probabilistic combination of link and content information in PageRank

M. Richardson, P. Domingos, Annual Conference on Neural Information Processing Systems, 2001.

Mining Time-Changing Data Streams

G. Hulten, P. Domingos, L. Spencer, Knowledge Discovery and Data Mining, 2001.

2000

Probabilistic Algorithms and the Interactive Museum Tour-Guide Robot Minerva.

S. Thrun, M. Beetz, M. Bennewitz, W. Burgard, A.  B. Cremers, F. Dellaert, D. Fox, D. Hähnel, C. Rosenberg, N. Roy, J. Schulte, D. Schulz, International Journal of Robotics Research 19:11, 2000.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/minerva-ijrr... PS

Coordination for Multi-Robot Exploration and Mapping

R. Simmons, D. Apfelbaum, W. Burgard, D. Fox, M. Moors, S. Thrun, H. Younes, AAAI, 2000.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/exploration-... PS

Retrieval of Images Using Rich Region Descriptions

L. Cinque, L. F., S. Levialdi, S. Tanimoto, J. Visual Languages and Computing 11:3, 2000.

Web Interfaces for Mobile Robots in Public Places

D. Schulz, W. Burgard, D. Fox, S. Thrun, A.  B. Cremers, IEEE Robotics and Automation Magazine 7:1, 2000.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/web-interfac... PS

Collaborative Multi-Robot Exploration

W. Burgard, M. Moors, D. Fox, R. Simmons, S. Thrun, ICRA, 2000.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/exploration-... PS

Soccer-Robot Locatization Using Sporadic Visual Features

S. Enderle, M. Ritter, D. Fox, S. Sablatnög, G. Kraetzschmar, G. Palm, IAS, 2000.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/sampling-soc... PS

A Probabilistic Approach to Collaborative Multi-Robot Localization

D. Fox, W. Burgard, H. Kruppa, S. Thrun, Autonomous Robots 8:3, 2000.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/multi-mcl-jo... PS

Efficient multi-robot localization based on Monte Carlo approximation

D. Fox, W. Burgard, H. Kruppa, S. Thrun, Robotics Research: the Ninth International Symposium, Springer-Verlag, 2000.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/multi-mcl-is... PS

A Real-Time Algorithm for Mobile Robot Mapping With Applications to Multi-Robot and 3D Mapping

S. Thrun, W. Burgard, D. Fox, ICRA, 2000.  Best Paper Award
Downloads: http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/multi-mappin... PS

Monte Carlo Localization with Mixture Proposal Distribution

S. Thrun, D. Fox, W. Burgard, AAAI, 2000.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/mcl-mixture-... PS

Coordinated Deployment of Multiple, Heterogeneous Robots

R. Simmons, D. Apfelbaum, D. Fox, R.P. Goldman, K.Z. Haigh, D.J. Musliner, M. Pelican, S. Thrun, IROS, 2000.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/Deployment-I... PDF

Particle filters for mobile robot localization

D. Fox, S. Thrun, F. Dellaert, W. Burgard, 2000.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/particle-cha... PS

Mining high-speed data streams

G. Hulten, P. Domingos, Knowledge Discovery and Data Mining, 2000.

1999

Markov Localization for Mobile Robots in Dynamic Environments

D. Fox, W. Burgard, S. Thrun, Journal of Artificial Intelligence Research 11, 1999.  Honorable mention: 2004 IJCAII-JAIR best paper prize
Downloads: http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/localize-jai... PS

Experiences with two deployed interactive tour-guide robots

S. Thrun, M. Bennewitz, W. Burgard, A.  B. Cremers, F. Dellaert, D. Fox, D. Hähnel, C. Rosenberg, N. Roy, J. Schulte, D. Schulz, W. Steiner, FSR, 1999.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/two-museum-r... PDF

Experiences with an Interactive Museum Tour-Guide Robot

W. Burgard, A.  B. Cremers, D. Fox, D. Hähnel, G. Lakemeyer, D. Schulz, W. Steiner, S. Thrun, Artificial Intelligence 114:1-2, 1999.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/museum-ai-00... PS

Monte Carlo Localization: Efficient Position Estimation for Mobile Robots

D. Fox, W. Burgard, F. Dellaert, S. Thrun, AAAI, 1999.  AAAI 2017 Classic Paper Award
Downloads: http://rse-lab.cs.washington.edu/papers/sampling-aaai-99.pdf PDF

Probabilistic Methods for Mobile Robot Mapping

D. Fox, W. Burgard, S. Thrun, Proc. of the IJCAI-99 Workshop on Adaptive Spatial Representations of Dynamic Environments, 1999.

MINERVA: A second generation mobile tour-guide robot

S. Thrun, M. Bennewitz, W. Burgard, A.  B. Cremers, F. Dellaert, D. Fox, D. Hähnel, C. Rosenberg, N. Roy, J. Schulte, D. Schulz, ICRA, 1999.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/minerva-icra... PS

Monte Carlo Hidden Markov Models: Learning Non-Parametric Models of Partially Observable Stochastic Processes

S. Thrun, J. Langford, D. Fox, ICML, 1999.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/hmm-icml-99.... PS

Collaborative Multi-Robot Localization

D. Fox, W. Burgard, H. Kruppa, S. Thrun, KI, Springer Verlag, 1999.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/multi-mcl-ki... PS

Using the Condensation Algorithm for Robust, Vision-based Mobile Robot Localization

F. Dellaert, W. Burgard, D. Fox, S. Thrun, CVPR, 1999.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/sampling-vis... PS

Markov Localization for Reliable Robot Navigation and People Detection

D. Fox, W. Burgard, S. Thrun, Modelling and Planning for Sensor-Based Intelligent Robot Systems, Springer Verlag, 1999.

Coastal navigation: Mobile robot navigation with uncertainty in dynamic environments

N. Roy, W. Burgard, D. Fox, S. Thrun, ICRA, 1999.

Sonar-Based Mapping of Large-Scale Mobile Robot Environments Using EM

W. Burgard, D. Fox, H. Jans, C. Matenar, S. Thrun, ICML, 1999.
Downloads:

/home/dfox/www/postscripts/em-mapping-icml-99.ps.gz PS

Monte Carlo Localization for Mobile Robots

F. Dellaert, D. Fox, W. Burgard, S. Thrun, ICRA, 1999.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/sampling-icr... PS

1998

A Hybrid Collision Avoidance Method For Mobile Robots

D. Fox, W. Burgard, S. Thrun, A.  B. Cremers, ICRA, 1998.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/obstserver-i... PS

An Experimental Comparison of Localization Methods

J.S. Gutmann, W. Burgard, D. Fox, K. Konolige, IROS, 1998.  Best Paper Award
Downloads: http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/comparison-i... PS

The Interactive Museum Tour-Guide Robot

W. Burgard, A.  B. Cremers, D. Fox, D. Hähnel, G. Lakemeyer, D. Schulz, W. Steiner, S. Thrun, AAAI, 1998.  AAAI 1998 Outstanding Paper Award, AAAI 2016 Classic Paper Award
Downloads: http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/museum-aaai9... PDF

Probabilistic Mapping of an Environment by a Mobile Robot

S. Thrun, D. Fox, W. Burgard, ICRA, 1998.

The Museum Tour-Guide Robot RHINO

W. Burgard, A.  B. Cremers, D. Fox, D. Hähnel, G. Lakemeyer, D. Schulz, W. Steiner, S. Thrun, Proc. of Fachgespräch Autonome Mobile Systeme (AMS'98), 1998.

Real Robots for the Real World –- The RHINO Museum Tour-guide Project

W. Burgard, D. Fox, D. Hähnel, G. Lakemeyer, D. Schulz, W. Steiner, S. Thrun, A.  B. Cremers, Proc. of the AAAI 1998 Spring Symposium on Integrating Robotics Research: Taking the Next Leap, 1998.

A Probabilistic Approach to Concurrent Mapping and Localization for Mobile Robots

S. Thrun, D. Fox, W. Burgard, Machine Learning 31, 1998.  
Downloads: http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/maploc-machi... PS

Active Markov Localization for Mobile Robots

D. Fox, W. Burgard, S. Thrun, Robotics and Autonomous Systems 25, 1998.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/ras-active.p... PS

Position Estimation for Mobile Robots in Dynamic Environments

D. Fox, W. Burgard, S. Thrun, A.  B. Cremers, AAAI, 1998.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/selection-aa... PS

Integrating Active Localization into High-level Robot Control Systems

M. Beetz, W. Burgard, D. Fox, A.  B. Cremers, Robotics and Autonomous Systems 23, 1998.

Coastal Navigation: Robot Motion with Uncertainty

N. Roy, W. Burgard, D. Fox, S. Thrun, Proc. of the 1998 AAAI Fall Symposium, 1998.

Integrating Topological and Metric Maps for Mobile Robot Navigation: A Statistical Approach

S. Thrun, J.S. Gutmann, D. Fox, W. Burgard, B. Kuipers, AAAI, 1998.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/map-aaai98.p... PS

Integrating global position estimation and position tracking for mobile robots: the Dynamic Markov Localization approach

W. Burgard, A. Derr, D. Fox, A.  B. Cremers, IROS, 1998.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/dml-iros-98.... PS

1997

Probabilistic State Estimation in Robotics

S. Thrun, D. Fox, W. Burgard, Proc. of the Workshop on Self-Organization of Adaptive Behavior, Ilmenau, Germany, VDI-Verlag, 1997.

The Dynamic Window Approach to Collision Avoidance

D. Fox, W. Burgard, S. Thrun, IEEE Robotics & Automation Magazine 4:1, 1997.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/colli-ieee.p... PS

Fast Grid-Based Position Tracking for Mobile Robots

W. Burgard, D. Fox, D. Hennig, KI, Springer Verlag, 1997.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/tracking-ki-... PS

Active Mobile Robot Localization by Entropy Minimization

W. Burgard, D. Fox, S. Thrun, Proc. of the Second Euromicro Workshop on Advanced Mobile Robots, IEEE Computer Society Press, 1997.

Active Mobile Robot Localization

W. Burgard, D. Fox, S. Thrun, IJCAI, 1997.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/active-ijcai... PS

Active Localization for Service Robot Applications

M. Beetz, W. Burgard, A.  B. Cremers, D. Fox, Proc. of the 5th Symposium for Intelligent Robotics Systems (SIRS'97), Stockholm, Sweden, 1997.

1996

Estimating the Absolute Position of a Mobile Robot Using Position Probability Grids

W. Burgard, D. Fox, D. Hennig, T. Schmidt, AAAI, 1996.  Honorable mention: AAAI 2014 Classic Paper Award
Downloads: http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/localize-aaa... PDF

Map Learning and High-Speed Navigation in RHINO

S. Thrun, A. Bücken, W. Burgard, D. Fox, T. Fröhlinghaus, D. Hennig, T. Hofmann, M. Krell, T. Schimdt, 1996.
Downloads:

http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/rhino-ai-boo... PS

Position Tracking with Position Probability Grids

W. Burgard, D. Fox, D. Hennig, T. Schmidt, Proc. of the First Euromicro Workshop on Advanced Mobile Robots, IEEE Computer Society Press, 1996.

Controlling Synchro-drive Robots with the Dynamic Window Approach to Collision Avoidance

D. Fox, W. Burgard, S. Thrun, IROS, 1996.

1995

The Mobile Robot RHINO

J. Buhmann, W. Burgard, A.  B. Cremers, D. Fox, T. Hofmann, F. Schneider, J. Strikos, S. Thrun, AI Magazine 16:2, 1995.

1987

The Elements of Artificial Intelligence: An Introduction Using Lisp

S. Tanimoto, Principles of Computer Science, Computer Science Press, 1987.