Mitchell, Tom M.

56 publications

NeurIPS 2023 Read and Reap the Rewards: Learning to Play Atari with the Help of Instruction Manuals Yue Wu, Yewen Fan, Paul Pu Liang, Amos Azaria, Yuanzhi Li, Tom M. Mitchell

NeurIPS 2023 SPRING: Studying Papers and Reasoning to Play Games Yue Wu, So Yeon Min, Shrimai Prabhumoye, Yonatan Bisk, Ruslan Salakhutdinov, Amos Azaria, Tom M. Mitchell, Yuanzhi Li

AAAI 2021 Conversational Neuro-Symbolic Commonsense Reasoning Forough Arabshahi, Jennifer Lee, Mikayla Gawarecki, Kathryn Mazaitis, Amos Azaria, Tom M. Mitchell

AAAI 2021 We Don't Speak the Same Language: Interpreting Polarization Through Machine Translation Ashiqur R. KhudaBukhsh, Rupak Sarkar, Mark S. Kamlet, Tom M. Mitchell

AAAI 2020 Contextual Parameter Generation for Knowledge Graph Link Prediction George Stoica, Otilia Stretcu, Emmanouil Antonios Platanios, Tom M. Mitchell, Barnabás Póczos

NeurIPS 2020 Modeling Task Effects on Meaning Representation in the Brain via Zero-Shot MEG Prediction Mariya Toneva, Otilia Stretcu, Barnabas Poczos, Leila Wehbe, Tom M. Mitchell

NeurIPS 2019 Game Design for Eliciting Distinguishable Behavior Fan Yang, Liu Leqi, Yifan Wu, Zachary Lipton, Pradeep K Ravikumar, Tom M. Mitchell, William W. Cohen

NeurIPS 2019 Learning Data Manipulation for Augmentation and Weighting Zhiting Hu, Bowen Tan, Ruslan Salakhutdinov, Tom M. Mitchell, Eric P Xing

NeurIPS 2018 Learning Pipelines with Limited Data and Domain Knowledge: A Study in Parsing Physics Problems Mrinmaya Sachan, Kumar Avinava Dubey, Tom M. Mitchell, Dan Roth, Eric P Xing

NeurIPS 2017 Estimating Accuracy from Unlabeled Data: A Probabilistic Logic Approach Emmanouil Platanios, Hoifung Poon, Tom M. Mitchell, Eric J Horvitz

IJCAI 2017 Parsing Natural Language Conversations Using Contextual Cues Shashank Srivastava, Amos Azaria, Tom M. Mitchell

AAAI 2016 Inferring Interpersonal Relations in Narrative Summaries Shashank Srivastava, Snigdha Chaturvedi, Tom M. Mitchell

AAAI 2016 Instructable Intelligent Personal Agent Amos Azaria, Jayant Krishnamurthy, Tom M. Mitchell

IJCAI 2015 AskWorld: Budget-Sensitive Query Evaluation for Knowledge-on-Demand Mehdi Samadi, Partha Pratim Talukdar, Manuela M. Veloso, Tom M. Mitchell

AAAI 2015 Never-Ending Learning Tom M. Mitchell, William W. Cohen, Estevam R. Hruschka Jr., Partha Pratim Talukdar, Justin Betteridge, Andrew Carlson, Bhavana Dalvi Mishra, Matthew Gardner, Bryan Kisiel, Jayant Krishnamurthy, Ni Lao, Kathryn Mazaitis, Thahir Mohamed, Ndapandula Nakashole, Emmanouil A. Platanios, Alan Ritter, Mehdi Samadi, Burr Settles, Richard C. Wang, Derry Wijaya, Abhinav Gupta, Xinlei Chen, Abulhair Saparov, Malcolm Greaves, Joel Welling

UAI 2014 Estimating Accuracy from Unlabeled Data Emmanouil Antonios Platanios, Avrim Blum, Tom M. Mitchell

ECML-PKDD 2010 Learning to Tag from Open Vocabulary Labels Edith Law, Burr Settles, Tom M. Mitchell

AAAI 2010 Toward an Architecture for Never-Ending Language Learning Andrew Carlson, Justin Betteridge, Bryan Kisiel, Burr Settles, Estevam R. Hruschka Jr., Tom M. Mitchell

NeurIPS 2009 Zero-Shot Learning with Semantic Output Codes Mark Palatucci, Dean Pomerleau, Geoffrey E. Hinton, Tom M. Mitchell

ALT 2008 Computational Models of Neural Representations in the Human Brain Tom M. Mitchell

IJCAI 2007 A Theoretical Framework for Learning Bayesian Networks with Parameter Inequality Constraints Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat Rao

JMLR 2006 Bayesian Network Learning with Parameter Constraints Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat Rao

AAAI 2006 Extracting Knowledge About Users' Activities from Raw Workstation Contents Tom M. Mitchell, Sophie H. Wang, Yifen Huang, Adam Cheyer

ICML 2006 Hidden Process Models Rebecca A. Hutchinson, Tom M. Mitchell, Indrayana Rustandi

NeurIPS 2004 Detecting Significant Multidimensional Spatial Clusters Daniel B. Neill, Andrew W. Moore, Francisco Pereira, Tom M. Mitchell

MLJ 2004 Learning to Decode Cognitive States from Brain Images Tom M. Mitchell, Rebecca A. Hutchinson, Radu Stefan Niculescu, Francisco Pereira, Xuerui Wang, Marcel Adam Just, Sharlene D. Newman

NeurIPS 2003 Training fMRI Classifiers to Detect Cognitive States Across Multiple Human Subjects Xuerui Wang, Rebecca Hutchinson, Tom M. Mitchell

ICML 2000 Discovering Test Set Regularities in Relational Domains Seán Slattery, Tom M. Mitchell

MLJ 2000 Text Classification from Labeled and Unlabeled Documents Using EM Kamal Nigam, Andrew Kachites McCallum, Sebastian Thrun, Tom M. Mitchell

COLT 1998 Combining Labeled and Unlabeled Data with Co-Training Avrim Blum, Tom M. Mitchell

ICML 1998 Improving Text Classification by Shrinkage in a Hierarchy of Classes Andrew McCallum, Ronald Rosenfeld, Tom M. Mitchell, Andrew Y. Ng

AAAI 1998 Learning to Classify Text from Labeled and Unlabeled Documents Kamal Nigam, Andrew McCallum, Sebastian Thrun, Tom M. Mitchell

AAAI 1998 Learning to Extract Symbolic Knowledge from the World Wide Web Mark Craven, Dan DiPasquo, Dayne Freitag, Andrew McCallum, Tom M. Mitchell, Kamal Nigam, Seán Slattery

IJCAI 1997 Web Watcher: A Tour Guide for the World Wide Web Thorsten Joachims, Dayne Freitag, Tom M. Mitchell

AAAI 1996 Challenge Problems for Artificial Intelligence (Panel Statements) Bart Selman, Rodney A. Brooks, Thomas L. Dean, Eric Horvitz, Tom M. Mitchell, Nils J. Nilsson

IJCAI 1995 Learning One More Thing Sebastian Thrun, Tom M. Mitchell

ECML-PKDD 1995 Machine Learning in the World Wide Web Tom M. Mitchell

ICML 1993 Explanation Based Learning: A Comparison of Symbolic and Neural Network Approaches Tom M. Mitchell, Sebastian Thrun

IJCAI 1993 Integrating Inductive Neural Network Learning and Explanation-Based Learning Sebastian Thrun, Tom M. Mitchell

AAAI 1992 A Personal Learning Apprentice C. Lisa Dent, Jesus Boticario, John P. McDermott, Tom M. Mitchell, David Zabowski

NeurIPS 1992 Explanation-Based Neural Network Learning for Robot Control Tom M. Mitchell, Sebastian B. Thrun

AAAI 1990 Becoming Increasingly Reactive Tom M. Mitchell

ICML 1989 Experiments in Robot Learning Matthew T. Mason, Alan D. Christiansen, Tom M. Mitchell

ICML 1989 On Becoming Reactive Jim Blythe, Tom M. Mitchell

AAAI 1988 Proceedings of the 7th National Conference on Artificial Intelligence, St. Paul, MN, USA, August 21-26, 1988 Howard E. Shrobe, Tom M. Mitchell, Reid G. Smith

MLJ 1986 Explanation-Based Generalization: A Unifying View Tom M. Mitchell, Richard M. Keller, Smadar T. Kedar-Cabelli

IJCAI 1985 LEAP: A Learning Apprentice for VLSI Design Tom M. Mitchell, Sridhar Mahadevan, Louis I. Steinberg

IJCAI 1985 Representation and Use of Explicit Justifications for Knowledge Base Refinements Reid G. Smith, Howard A. Winston, Tom M. Mitchell, Bruce G. Buchanan

AAAI 1983 An Intelligent Aid for Circuit Redesign Tom M. Mitchell, Louis I. Steinberg, Smadar T. Kedar-Cabelli, Van E. Kelly, Jeffrey S. Shulman, Timothy Weinrich

IJCAI 1983 Learning and Problem Solving Tom M. Mitchell

AAAI 1982 Acquisition of Appropriate Bias for Inductive Concept Learning Paul E. Utgoff, Tom M. Mitchell

IJCAI 1981 Learning Problem-Solving Heuristics Through Practice Tom M. Mitchell, Paul E. Utgoff, Bernard Nudel, Ranan B. Banerji

IJCAI 1981 Representations for Reasoning About Digital Circuits Tom M. Mitchell, Louis I. Steinberg, Reid G. Smith, Pat Schooley, Howard Jacobs, Van E. Kelly

IJCAI 1979 An Analysis of Generalization as a Search Problem Tom M. Mitchell

IJCAI 1977 A Model for Learning Systems Reid G. Smith, Tom M. Mitchell, R. A. Chestek, Bruce G. Buchanan

IJCAI 1977 Version Spaces: A Candidate Elimination Approach to Rule Learning Tom M. Mitchell