Tom M. Mitchell

268 papers A* 67A 13B 12C 3Misc 6Journal 100Unranked 61

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	AI Mentors for Student Projects: Spotting Early Issues in Computer Science Proposals. CoRR Gati Aher, Robin Schmucker, Tom M. Mitchell, Zachary C. Lipton
2025	B	`conf`	Heterogeneous Treatment Effects of Learning Analytics Dashboards: Do All Learners Benefit Equally? EDM Aylin Ozturk, Robin Schmucker, Tom M. Mitchell, Alper Tolga Kumtepe
2025	J	`jnl`	Learning from Supervision with Semantic and Episodic Memory: A Reflective Approach to Agent Adaptation. CoRR Jackson Hassell, Dan Zhang, Hannah Kim, Tom M. Mitchell, Estevam Hruschka
2025	J	`jnl`	Learning to Optimize Feedback for One Million Students: Insights from Multi-Armed and Contextual Bandits in Large-Scale Online Tutoring. CoRR Robin Schmucker, Nimish Pachapurkar, Bala Shanmugam, Miral Shah, Tom M. Mitchell
2025	J	`jnl`	Towards Reliable Benchmarking: A Contamination Free, Controllable Evaluation Framework for Multi-step LLM Function Calling. CoRR Seiji Maekawa, Jackson Hassell, Pouya Pezeshkpour, Tom M. Mitchell, Estevam Hruschka
2024	J	`jnl`	AgentKit: Flow Engineering with Graphs, not Coding. CoRR Yue Wu, Yewen Fan, So Yeon Min, Shrimai Prabhumoye, Stephen McAleer, Yonatan Bisk, Ruslan Salakhutdinov, Yuanzhi Li, Tom M. Mitchell
2024	B	`conf`	Automated Generation and Tagging of Knowledge Components from Multiple-Choice Questions. L@S Steven Moore, Robin Schmucker, Tom M. Mitchell, John C. Stamper
2024	J	`jnl`	Automated Generation and Tagging of Knowledge Components from Multiple-Choice Questions. CoRR Steven Moore, Robin Schmucker, Tom M. Mitchell, John C. Stamper
2024	J	`jnl`	Reasoning Capacity in Multi-Agent Systems: Limitations, Challenges and Human-Centered Solutions. CoRR Pouya Pezeshkpour, Eser Kandogan, Nikita Bhutani, Sajjadur Rahman, Tom M. Mitchell, Estevam Hruschka
2024	—	`conf`	Ruffle &Riley: Insights from Designing and Evaluating a Large Language Model-Based Conversational Tutoring System. AIED (1) Robin Schmucker, Meng Xia, Amos Azaria, Tom M. Mitchell
2024	B	`conf`	Ruffle&Riley: From Lesson Text to Conversational Tutoring. L@S Robin Schmucker, Meng Xia, Amos Azaria, Tom M. Mitchell
2024	J	`jnl`	Ruffle&Riley: Insights from Designing and Evaluating a Large Language Model-Based Conversational Tutoring System. CoRR Robin Schmucker, Meng Xia, Amos Azaria, Tom M. Mitchell
2024	A*	`conf`	SmartPlay : A Benchmark for LLMs as Intelligent Agents. ICLR Yue Wu, Xuan Tang, Tom M. Mitchell, Yuanzhi Li
2023	B	`conf`	Learning to Give Useful Hints: Assistance Action Evaluation and Policy Improvements. EC-TEL Robin Schmucker, Nimish Pachapurkar, Bala Shanmugam, Miral Shah, Tom M. Mitchell
2023	J	`jnl`	Plan, Eliminate, and Track - Language Models are Good Teachers for Embodied Agents. CoRR Yue Wu, So Yeon Min, Yonatan Bisk, Ruslan Salakhutdinov, Amos Azaria, Yuanzhi Li, Tom M. Mitchell, Shrimai Prabhumoye
2023	A*	`conf`	Read and Reap the Rewards: Learning to Play Atari with the Help of Instruction Manuals. NeurIPS Yue Wu, Yewen Fan, Paul Pu Liang, Amos Azaria, Yuanzhi Li, Tom M. Mitchell
2023	J	`jnl`	Read and Reap the Rewards: Learning to Play Atari with the Help of Instruction Manuals. CoRR Yue Wu, Yewen Fan, Paul Pu Liang, Amos Azaria, Yuanzhi Li, Tom M. Mitchell
2023	J	`jnl`	Ruffle&Riley: Towards the Automated Induction of Conversational Tutoring Systems. CoRR Robin Schmucker, Meng Xia, Amos Azaria, Tom M. Mitchell
2023	J	`jnl`	SPRING: GPT-4 Out-performs RL Algorithms by Studying Papers and Reasoning. CoRR Yue Wu, Shrimai Prabhumoye, So Yeon Min, Yonatan Bisk, Ruslan Salakhutdinov, Amos Azaria, Tom M. Mitchell, Yuanzhi Li
2023	A*	`conf`	SPRING: Studying Papers and Reasoning to play Games. NeurIPS Yue Wu, So Yeon Min, Shrimai Prabhumoye, Yonatan Bisk, Russ Salakhutdinov, Amos Azaria, Tom M. Mitchell, Yuanzhi Li
2023	J	`jnl`	SmartPlay : A Benchmark for LLMs as Intelligent Agents. CoRR Yue Wu, Xuan Tang, Tom M. Mitchell, Yuanzhi Li
2023	—	`conf`	The Internal State of an LLM Knows When It's Lying. EMNLP (Findings) Amos Azaria, Tom M. Mitchell
2023	J	`jnl`	The Internal State of an LLM Knows When its Lying. CoRR Amos Azaria, Tom M. Mitchell
2023	—	`ch.`	The Roles of Symbols in Neural-Based AI: They Are Not What You Think! Compendium of Neurosymbolic Artificial Intelligence Daniel L. Silver, Tom M. Mitchell
2023	C	`conf`	The Roles of Symbols in Neural-based AI: They are Not What You Think! NeSy Daniel L. Silver, Tom M. Mitchell
2023	J	`jnl`	The Roles of Symbols in Neural-based AI: They are Not What You Think! CoRR Daniel L. Silver, Tom M. Mitchell
2023	—	`conf`	Zero-shot Triplet Extraction by Template Infilling. IJCNLP (1) Bosung Kim, Hayate Iso, Nikita Bhutani, Estevam Hruschka, Ndapa Nakashole, Tom M. Mitchell
2022	J	`jnl`	Combining computational controls with natural text reveals aspects of meaning composition. Nat. Comput. Sci. Mariya Toneva, Tom M. Mitchell, Leila Wehbe
2022	—	`conf`	Fringe News Networks: Dynamics of US News Viewership following the 2020 Presidential Election. WebSci Ashiqur R. KhudaBukhsh, Rupak Sarkar, Mark S. Kamlet, Tom M. Mitchell
2022	J	`jnl`	Gender bias, social bias, and representation in Bollywood and Hollywood. Patterns Kunal Khadilkar, Ashiqur R. KhudaBukhsh, Tom M. Mitchell
2022	J	`jnl`	Gender bias, social bias, and representation: 70 years of B Patterns Kunal Khadilkar, Ashiqur R. KhudaBukhsh, Tom M. Mitchell
2022	J	`jnl`	Gender bias, social bias, and representation: 70 years of B Patterns Kunal Khadilkar, Ashiqur R. KhudaBukhsh, Tom M. Mitchell
2022	—	`conf`	Harnessing Unsupervised Word Translation to Address Resource Inequality for Peace and Health. SocInfo Ashiqur R. KhudaBukhsh, Shriphani Palakodety, Tom M. Mitchell
2022	J	`jnl`	Towards General Natural Language Understanding with Probabilistic Worldbuilding. Trans. Assoc. Comput. Linguistics Abulhair Saparov, Tom M. Mitchell
2022	C	`conf`	Transferable Student Performance Modeling for Intelligent Tutoring Systems. ICCE Robin Schmucker, Tom M. Mitchell
2022	J	`jnl`	Transferable Student Performance Modeling for Intelligent Tutoring Systems. CoRR Robin Schmucker, Tom M. Mitchell
2021	J	`jnl`	A Generative Symbolic Model for More General Natural Language Understanding and Reasoning. CoRR Abulhair Saparov, Tom M. Mitchell
2021	J	`jnl`	Assessing the Knowledge State of Online Students - New Data, New Approaches, Improved Accuracy. CoRR Robin Schmucker, Jingbo Wang, Shijia Hu, Tom M. Mitchell
2021	—	`conf`	Can We Replace Programming Languages by Natural Instruction? WI/IAT Tom M. Mitchell
2021	J	`jnl`	Coarse-to-Fine Curriculum Learning. CoRR Otilia Stretcu, Emmanouil Antonios Platanios, Tom M. Mitchell, Barnabás Póczos
2021	—	`conf`	Conversational Multi-Hop Reasoning with Neural Commonsense Knowledge and Symbolic Logic Rules. EMNLP (1) Forough Arabshahi, Jennifer Lee, Antoine Bosselut, Yejin Choi, Tom M. Mitchell
2021	J	`jnl`	Conversational Multi-Hop Reasoning with Neural Commonsense Knowledge and Symbolic Logic Rules. CoRR Forough Arabshahi, Jennifer Lee, Antoine Bosselut, Yejin Choi, Tom M. Mitchell
2021	A*	`conf`	Conversational Neuro-Symbolic Commonsense Reasoning. AAAI Forough Arabshahi, Jennifer Lee, Mikayla Gawarecki, Kathryn Mazaitis, Amos Azaria, Tom M. Mitchell
2021	J	`jnl`	Fringe News Networks: Dynamics of US News Viewership following the 2020 Presidential Election. CoRR Ashiqur R. KhudaBukhsh, Rupak Sarkar, Mark S. Kamlet, Tom M. Mitchell
2021	J	`jnl`	Gender Bias, Social Bias and Representation: 70 Years of B$^H$ollywood. CoRR Kunal Khadilkar, Ashiqur R. KhudaBukhsh, Tom M. Mitchell
2021	A*	`conf`	Screen2Vec: Semantic Embedding of GUI Screens and GUI Components. CHI Toby Jia-Jun Li, Lindsay Popowski, Tom M. Mitchell, Brad A. Myers
2021	J	`jnl`	Screen2Vec: Semantic Embedding of GUI Screens and GUI Components. CoRR Toby Jia-Jun Li, Lindsay Popowski, Tom M. Mitchell, Brad A. Myers
2021	A*	`conf`	WIT: Workshop on deriving Insights from user-generated Text. KDD Estevam Hruschka, Tom M. Mitchell, Marko Grobelnik, Behzad Golshan
2021	A*	`conf`	We Don't Speak the Same Language: Interpreting Polarization through Machine Translation. AAAI Ashiqur R. KhudaBukhsh, Rupak Sarkar, Mark S. Kamlet, Tom M. Mitchell
2020	J	`jnl`	An agent for learning new natural language commands. Auton. Agents Multi Agent Syst. Amos Azaria, Shashank Srivastava, Jayant Krishnamurthy, Igor Labutov, Tom M. Mitchell
2020	A*	`conf`	Contextual Parameter Generation for Knowledge Graph Link Prediction. AAAI George Stoica, Otilia Stretcu, Emmanouil Antonios Platanios, Tom M. Mitchell, Barnabás Póczos
2020	J	`jnl`	Conversational Neuro-Symbolic Commonsense Reasoning. CoRR Forough Arabshahi, Jennifer Lee, Mikayla Gawarecki, Kathryn Mazaitis, Amos Azaria, Tom M. Mitchell
2020	J	`jnl`	Discovering Bilingual Lexicons in Polyglot Word Embeddings. CoRR Ashiqur R. KhudaBukhsh, Shriphani Palakodety, Tom M. Mitchell
2020	J	`jnl`	From Data to Knowledge to Action: A Global Enabler for the 21st Century. CoRR Eric Horvitz, Tom M. Mitchell
2020	—	`conf`	Interactive Task Learning from GUI-Grounded Natural Language Instructions and Demonstrations. ACL (demo) Toby Jia-Jun Li, Tom M. Mitchell, Brad A. Myers
2020	A*	`conf`	Jelly Bean World: A Testbed for Never-Ending Learning. ICLR Emmanouil Antonios Platanios, Abulhair Saparov, Tom M. Mitchell
2020	J	`jnl`	Jelly Bean World: A Testbed for Never-Ending Learning. CoRR Emmanouil Antonios Platanios, Abulhair Saparov, Tom M. Mitchell
2020	J	`jnl`	Learning from Imperfect Annotations. CoRR Emmanouil Antonios Platanios, Maruan Al-Shedivat, Eric P. Xing, Tom M. Mitchell
2020	A*	`conf`	Modeling Task Effects on Meaning Representation in the Brain via Zero-Shot MEG Prediction. NeurIPS Mariya Toneva, Otilia Stretcu, Barnabás Póczos, Leila Wehbe, Tom M. Mitchell
2020	J	`jnl`	Modeling Task Effects on Meaning Representation in the Brain via Zero-Shot MEG Prediction. CoRR Mariya Toneva, Otilia Stretcu, Barnabás Póczos, Leila Wehbe, Tom M. Mitchell
2020	A*	`conf`	Multi-Modal Repairs of Conversational Breakdowns in Task-Oriented Dialogs. UIST Toby Jia-Jun Li, Jingya Chen, Haijun Xia, Tom M. Mitchell, Brad A. Myers
2020	J	`jnl`	Towards Effective Human-AI Collaboration in GUI-Based Interactive Task Learning Agents. CoRR Toby Jia-Jun Li, Jingya Chen, Tom M. Mitchell, Brad A. Myers
2020	J	`jnl`	We Don't Speak the Same Language: Interpreting Polarization through Machine Translation. CoRR Ashiqur R. KhudaBukhsh, Rupak Sarkar, Mark S. Kamlet, Tom M. Mitchell
2019	—	`conf`	Competence-based Curriculum Learning for Neural Machine Translation. NAACL-HLT (1) Emmanouil Antonios Platanios, Otilia Stretcu, Graham Neubig, Barnabás Póczos, Tom M. Mitchell
2019	J	`jnl`	Competence-based Curriculum Learning for Neural Machine Translation. CoRR Emmanouil Antonios Platanios, Otilia Stretcu, Graham Neubig, Barnabás Póczos, Tom M. Mitchell
2019	J	`jnl`	Discourse in Multimedia: A Case Study in Extracting Geometry Knowledge from Textbooks. Comput. Linguistics Mrinmaya Sachan, Avinava Dubey, Eduard H. Hovy, Tom M. Mitchell, Dan Roth, Eric P. Xing
2019	J	`jnl`	Efficient and Distributed Generalized Canonical Correlation Analysis for Big Multiview Data. IEEE Trans. Knowl. Data Eng. Xiao Fu, Kejun Huang, Evangelos E. Papalexakis, Hyun Ah Song, Partha P. Talukdar, Nicholas D. Sidiropoulos, Christos Faloutsos, Tom M. Mitchell
2019	A*	`conf`	Game Design for Eliciting Distinguishable Behavior. NeurIPS Fan Yang, Liu Leqi, Yifan Wu, Zachary Chase Lipton, Pradeep Ravikumar, Tom M. Mitchell, William W. Cohen
2019	J	`jnl`	Game Design for Eliciting Distinguishable Behavior. CoRR Fan Yang, Liu Leqi, Yifan Wu, Zachary C. Lipton, Pradeep Ravikumar, William W. Cohen, Tom M. Mitchell
2019	A*	`conf`	Learning Data Manipulation for Augmentation and Weighting. NeurIPS Zhiting Hu, Bowen Tan, Ruslan Salakhutdinov, Tom M. Mitchell, Eric P. Xing
2019	J	`jnl`	Learning Data Manipulation for Augmentation and Weighting. CoRR Zhiting Hu, Bowen Tan, Ruslan Salakhutdinov, Tom M. Mitchell, Eric P. Xing
2019	—	`conf`	Learning to Ask for Conversational Machine Learning. EMNLP/IJCNLP (1) Shashank Srivastava, Igor Labutov, Tom M. Mitchell
2019	J	`jnl`	Learning to Learn Semantic Parsers from Natural Language Supervision. CoRR Igor Labutov, Bishan Yang, Tom M. Mitchell
2019	J	`jnl`	Leveraging Knowledge Bases in LSTMs for Improving Machine Reading. CoRR Bishan Yang, Tom M. Mitchell
2019	—	`conf`	Look-up and Adapt: A One-shot Semantic Parser. EMNLP/IJCNLP (1) Zhichu Lu, Forough Arabshahi, Igor Labutov, Tom M. Mitchell
2019	J	`jnl`	Look-up and Adapt: A One-shot Semantic Parser. CoRR Zhichu Lu, Forough Arabshahi, Igor Labutov, Tom M. Mitchell
2019	A*	`conf`	PUMICE: A Multi-Modal Agent that Learns Concepts and Conditionals from Natural Language and Demonstrations. UIST Toby Jia-Jun Li, Marissa Radensky, Justin Jia, Kirielle Singarajah, Tom M. Mitchell, Brad A. Myers
2019	J	`jnl`	PUMICE: A Multi-Modal Agent that Learns Concepts and Conditionals from Natural Language and Demonstrations. CoRR Toby Jia-Jun Li, Marissa Radensky, Justin Jia, Kirielle Singarajah, Tom M. Mitchell, Brad A. Myers
2019	—	`conf`	Relating Simple Sentence Representations in Deep Neural Networks and the Brain. ACL (1) Sharmistha Jat, Hao Tang, Partha P. Talukdar, Tom M. Mitchell
2019	—	`conf`	Understanding language-elicited EEG data by predicting it from a fine-tuned language model. NAACL-HLT (1) Dan Schwartz, Tom M. Mitchell
2019	J	`jnl`	Understanding language-elicited EEG data by predicting it from a fine-tuned language model. CoRR Dan Schwartz, Tom M. Mitchell
2018	B	`conf`	APPINITE: A Multi-Modal Interface for Specifying Data Descriptions in Programming by Demonstration Using Natural Language Instructions. VL/HCC Toby Jia-Jun Li, Igor Labutov, Xiaohan Nancy Li, Xiaoyi Zhang, Wenze Shi, Wanling Ding, Tom M. Mitchell, Brad A. Myers
2018	—	`ed.`	Brain Informatics - International Conference, BI 2018, Arlington, TX, USA, December 7-9, 2018, Proceedings BI Shouyi Wang, Vicky Yamamoto, Jianzhong Su, Yang Yang, Erick Jones, Leon D. Iasemidis, Tom M. Mitchell
2018	A*	`conf`	Contextual Parameter Generation for Universal Neural Machine Translation. EMNLP Emmanouil Antonios Platanios, Mrinmaya Sachan, Graham Neubig, Tom M. Mitchell
2018	J	`jnl`	Contextual Parameter Generation for Universal Neural Machine Translation. CoRR Emmanouil Antonios Platanios, Mrinmaya Sachan, Graham Neubig, Tom M. Mitchell
2018	J	`jnl`	Discourse in Multimedia: A Case Study in Information Extraction. CoRR Mrinmaya Sachan, Kumar Avinava Dubey, Eduard H. Hovy, Tom M. Mitchell, Dan Roth, Eric P. Xing
2018	—	`conf`	LIA: A Natural Language Programmable Personal Assistant. EMNLP (Demonstration) Igor Labutov, Shashank Srivastava, Tom M. Mitchell
2018	A*	`conf`	Learning Pipelines with Limited Data and Domain Knowledge: A Study in Parsing Physics Problems. NeurIPS Mrinmaya Sachan, Kumar Avinava Dubey, Tom M. Mitchell, Dan Roth, Eric P. Xing
2018	A*	`conf`	Learning to Learn Semantic Parsers from Natural Language Supervision. EMNLP Igor Labutov, Bishan Yang, Tom M. Mitchell
2018	J	`jnl`	Never-ending learning. Commun. ACM Tom M. Mitchell, William W. Cohen, Estevam R. Hruschka Jr., Partha P. Talukdar, Bo Yang, Justin Betteridge, Andrew Carlson, Bhavana Dalvi Mishra, Matt 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
2018	—	`ch.`	Teaching Agents When They Fail: End User Development in Goal-Oriented Conversational Agents. Studies in Conversational UX Design Toby Jia-Jun Li, Igor Labutov, Brad A. Myers, Amos Azaria, Alexander I. Rudnicky, Tom M. Mitchell
2018	—	`conf`	Zero-shot Learning of Classifiers from Natural Language Quantification. ACL (1) Shashank Srivastava, Igor Labutov, Tom M. Mitchell
2017	A*	`conf`	A Joint Sequential and Relational Model for Frame-Semantic Parsing. EMNLP Bishan Yang, Tom M. Mitchell
2017	B	`conf`	A Probabilistic Generative Grammar for Semantic Parsing. CoNLL Abulhair Saparov, Vijay A. Saraswat, Tom M. Mitchell
2017	J	`jnl`	An entity graph based Recommender System. AI Commun. Sneha Chaudhari, Amos Azaria, Tom M. Mitchell
2017	A	`conf`	BrainZoom: High Resolution Reconstruction from Multi-modal Brain Signals. SDM Xiao Fu, Kejun Huang, Otilia Stretcu, Hyun Ah Song, Evangelos E. Papalexakis, Partha P. Talukdar, Tom M. Mitchell, Nicholas D. Sidiropoulos, Christos Faloutsos, Barnabás Póczos
2017	—	`conf`	Estimating Accuracy from Unlabeled Data: A Probabilistic Logic Approach. NIPS Emmanouil A. Platanios, Hoifung Poon, Tom M. Mitchell, Eric Horvitz
2017	J	`jnl`	Estimating Accuracy from Unlabeled Data: A Probabilistic Logic Approach. CoRR Emmanouil A. Platanios, Hoifung Poon, Tom M. Mitchell, Eric Horvitz
2017	A*	`conf`	Joint Concept Learning and Semantic Parsing from Natural Language Explanations. EMNLP Shashank Srivastava, Igor Labutov, Tom M. Mitchell
2017	—	`conf`	Leveraging Knowledge Bases in LSTMs for Improving Machine Reading. ACL (1) Bishan Yang, Tom M. Mitchell
2017	—	`conf`	Merging knowledge bases in different languages. TextGraphs@ACL Jerónimo Hernández-González, Estevam R. Hruschka Jr., Tom M. Mitchell
2017	A*	`conf`	Parsing Natural Language Conversations using Contextual Cues. IJCAI Shashank Srivastava, Amos Azaria, Tom M. Mitchell
2016	J	`jnl`	A Probabilistic Generative Grammar for Semantic Parsing. CoRR Abulhair Saparov, Tom M. Mitchell
2016	—	`conf`	An Entity Graph Based Recommender System. RecSys Posters Sneha Chaudhari, Amos Azaria, Tom M. Mitchell
2016	—	`conf`	CMUML Micro-Reader System for KBP 2016 Cold Start Slot Filling, Event Nugget Detection, and Event Argument Linking. TAC Bishan Yang, Ndapandula Nakashole, Bryan Kisiel, Emmanouil A. Platanios, Abulhair Saparov, Shashank Srivastava, Derry Wijaya, Tom M. Mitchell
2016	A*	`conf`	Efficient and Distributed Algorithms for Large-Scale Generalized Canonical Correlations Analysis. ICDM Xiao Fu, Kejun Huang, Evangelos E. Papalexakis, Hyun Ah Song, Partha Pratim Talukdar, Nicholas D. Sidiropoulos, Christos Faloutsos, Tom M. Mitchell
2016	A*	`conf`	Estimating Accuracy from Unlabeled Data: A Bayesian Approach. ICML Emmanouil Antonios Platanios, Avinava Dubey, Tom M. Mitchell
2016	A*	`conf`	Inferring Interpersonal Relations in Narrative Summaries. AAAI Shashank Srivastava, Snigdha Chaturvedi, Tom M. Mitchell
2016	A*	`conf`	Instructable Intelligent Personal Agent. AAAI Amos Azaria, Jayant Krishnamurthy, Tom M. Mitchell
2016	—	`conf`	Joint Extraction of Events and Entities within a Document Context. HLT-NAACL Bishan Yang, Tom M. Mitchell
2016	J	`jnl`	Joint Extraction of Events and Entities within a Document Context. CoRR Bishan Yang, Tom M. Mitchell
2016	J	`jnl`	Machine Reading with Background Knowledge. CoRR Ndapandula Nakashole, Tom M. Mitchell
2016	—	`conf`	Mapping Verbs in Different Languages to Knowledge Base Relations using Web Text as Interlingua. HLT-NAACL Derry Tanti Wijaya, Tom M. Mitchell
2016	J	`jnl`	Turbo-SMT: Parallel coupled sparse matrix-Tensor factorizations and applications. Stat. Anal. Data Min. Evangelos E. Papalexakis, Tom M. Mitchell, Nicholas D. Sidiropoulos, Christos Faloutsos, Partha Pratim Talukdar, Brian Murphy
2015	A*	`conf`	"A Spousal Relation Begins with a Deletion of engage and Ends with an Addition of divorce": Learning State Changing Verbs from Wikipedia Revision History. EMNLP Derry Tanti Wijaya, Ndapandula Nakashole, Tom M. Mitchell
2015	—	`conf`	A Compositional and Interpretable Semantic Space. HLT-NAACL Alona Fyshe, Leila Wehbe, Partha Pratim Talukdar, Brian Murphy, Tom M. Mitchell
2015	—	`conf`	A Knowledge-Intensive Model for Prepositional Phrase Attachment. ACL (1) Ndapandula Nakashole, Tom M. Mitchell
2015	A*	`conf`	AskWorld: Budget-Sensitive Query Evaluation for Knowledge-on-Demand. IJCAI Mehdi Samadi, Partha Pratim Talukdar, Manuela M. Veloso, Tom M. Mitchell
2015	—	`conf`	CMUML System for KBP 2015 Cold Start Slot Filling. TAC Bryan Kisiel, Bill McDowell, Matt Gardner, Ndapandula Nakashole, Emmanouil A. Platanios, Abulhair Saparov, Shashank Srivastava, Derry Wijaya, Tom M. Mitchell
2015	A*	`conf`	Efficient and Expressive Knowledge Base Completion Using Subgraph Feature Extraction. EMNLP Matt Gardner, Tom M. Mitchell
2015	J	`jnl`	Inferring Interpersonal Relations in Narrative Summaries. CoRR Shashank Srivastava, Snigdha Chaturvedi, Tom M. Mitchell
2015	J	`jnl`	Learning a Compositional Semantics for Freebase with an Open Predicate Vocabulary. Trans. Assoc. Comput. Linguistics Jayant Krishnamurthy, Tom M. Mitchell
2015	A*	`conf`	Never-Ending Learning. AAAI 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
2015	A	`conf`	Principled Neuro-Functional Connectivity Discovery. SDM Kejun Huang, Nicholas D. Sidiropoulos, Evangelos E. Papalexakis, Christos Faloutsos, Partha Pratim Talukdar, Tom M. Mitchell
2015	A*	`conf`	Sense discovery via co-clustering on images and text. CVPR Xinlei Chen, Alan Ritter, Abhinav Gupta, Tom M. Mitchell
2015	A*	`conf`	Translation Invariant Word Embeddings. EMNLP Kejun Huang, Matt Gardner, Evangelos E. Papalexakis, Christos Faloutsos, Nikos D. Sidiropoulos, Tom M. Mitchell, Partha Pratim Talukdar, Xiao Fu
2015	A*	`conf`	Weakly Supervised Extraction of Computer Security Events from Twitter. WWW Alan Ritter, Evan Wright, William Casey, Tom M. Mitchell
2014	A*	`conf`	Aligning context-based statistical models of language with brain activity during reading. EMNLP Leila Wehbe, Ashish Vaswani, Kevin Knight, Tom M. Mitchell
2014	Misc	`conf`	Assuming Facts Are Expressed More Than Once. FLAIRS Justin Betteridge, Alan Ritter, Tom M. Mitchell
2014	A*	`conf`	CTPs: Contextual Temporal Profiles for Time Scoping Facts using State Change Detection. EMNLP Derry Tanti Wijaya, Ndapandula Nakashole, Tom M. Mitchell
2014	J	`jnl`	Efficient Inference and Learning in a Large Knowledge Base: Reasoning with Extracted Information using a Locally Groundable First-Order Probabilistic Logic. CoRR William Yang Wang, Kathryn Mazaitis, Ni Lao, Tom M. Mitchell, William W. Cohen
2014	A	`conf`	Estimating Accuracy from Unlabeled Data. UAI Emmanouil Antonios Platanios, Avrim Blum, Tom M. Mitchell
2014	J	`jnl`	Good-Enough Brain Model: Challenges, Algorithms, and Discoveries in Multisubject Experiments. Big Data Evangelos E. Papalexakis, Alona Fyshe, Nicholas D. Sidiropoulos, Partha Pratim Talukdar, Tom M. Mitchell, Christos Faloutsos
2014	A*	`conf`	Good-enough brain model: challenges, algorithms and discoveries in multi-subject experiments. KDD Evangelos E. Papalexakis, Alona Fyshe, Nicholas D. Sidiropoulos, Partha Pratim Talukdar, Tom M. Mitchell, Christos Faloutsos
2014	A*	`conf`	Incorporating Vector Space Similarity in Random Walk Inference over Knowledge Bases. EMNLP Matt Gardner, Partha Pratim Talukdar, Jayant Krishnamurthy, Tom M. Mitchell
2014	—	`conf`	Interpretable Semantic Vectors from a Joint Model of Brain- and Text- Based Meaning. ACL (1) Alona Fyshe, Partha Pratim Talukdar, Brian Murphy, Tom M. Mitchell
2014	—	`conf`	Joint Syntactic and Semantic Parsing with Combinatory Categorial Grammar. ACL (1) Jayant Krishnamurthy, Tom M. Mitchell
2014	—	`conf`	Language-Aware Truth Assessment of Fact Candidates. ACL (1) Ndapandula Nakashole, Tom M. Mitchell
2014	J	`jnl`	Multivariate analysis of correlation between electrophysiological and hemodynamic responses during cognitive processing. NeuroImage Jan Kujala, Gustavo P. Sudre, Johanna Vartiainen, Mia Liljeström, Tom M. Mitchell, Riitta Salmelin
2014	A	`conf`	Turbo-SMT: Accelerating Coupled Sparse Matrix-Tensor Factorizations by 200x. SDM Evangelos E. Papalexakis, Christos Faloutsos, Tom M. Mitchell, Partha Pratim Talukdar, Nicholas D. Sidiropoulos, Brian Murphy
2013	—	`conf`	CMUML System for KBP 2013 Slot Filling. TAC Bryan Kisiel, Justin Betteridge, Matt Gardner, Jayant Krishnamurthy, Ndapa Nakashole, Mehdi Samadi, Partha Pratim Talukdar, Derry Wijaya, Tom M. Mitchell
2013	B	`conf`	Documents and Dependencies: an Exploration of Vector Space Models for Semantic Composition. CoNLL Alona Fyshe, Brian Murphy, Partha Pratim Talukdar, Tom M. Mitchell
2013	A*	`conf`	Improving Learning and Inference in a Large Knowledge-Base using Latent Syntactic Cues. EMNLP Matt Gardner, Partha Pratim Talukdar, Bryan Kisiel, Tom M. Mitchell
2013	A	`conf`	PIDGIN: ontology alignment using web text as interlingua. CIKM Derry Wijaya, Partha Pratim Talukdar, Tom M. Mitchell
2013	J	`jnl`	Scoup-SMT: Scalable Coupled Sparse Matrix-Tensor Factorization CoRR Evangelos E. Papalexakis, Tom M. Mitchell, Nicholas D. Sidiropoulos, Christos Faloutsos, Partha Pratim Talukdar, Brian Murphy
2013	—	`conf`	Vector Space Semantic Parsing: A Framework for Compositional Vector Space Models. CVSM@ACL Jayant Krishnamurthy, Tom M. Mitchell
2012	A	`conf`	Acquiring temporal constraints between relations. CIKM Partha Pratim Talukdar, Derry Wijaya, Tom M. Mitchell
2012	A	`conf`	Coupled temporal scoping of relational facts. WSDM Partha Pratim Talukdar, Derry Wijaya, Tom M. Mitchell
2012	A	`conf`	Hierarchical Latent Dictionaries for Models of Brain Activation. AISTATS Alona Fyshe, Emily B. Fox, David B. Dunson, Tom M. Mitchell
2012	B	`conf`	Learning Effective and Interpretable Semantic Models using Non-Negative Sparse Embedding. COLING Brian Murphy, Partha Pratim Talukdar, Tom M. Mitchell
2012	A	`conf`	Never Ending Learning. ECAI Tom M. Mitchell
2012	—	`conf`	Selecting Corpus-Semantic Models for Neurolinguistic Decoding. *SEM@NAACL-HLT Brian Murphy, Partha P. Talukdar, Tom M. Mitchell
2012	J	`jnl`	Tracking neural coding of perceptual and semantic features of concrete nouns. NeuroImage Gustavo P. Sudre, Dean Pomerleau, Mark Palatucci, Leila Wehbe, Alona Fyshe, Riitta Salmelin, Tom M. Mitchell
2012	—	`conf`	Weakly Supervised Training of Semantic Parsers. EMNLP-CoNLL Jayant Krishnamurthy, Tom M. Mitchell
2011	J	`jnl`	Commonality of neural representations of words and pictures. NeuroImage Svetlana V. Shinkareva, Vicente L. Malave, Robert A. Mason, Tom M. Mitchell, Marcel Adam Just
2011	A*	`conf`	Discovering Relations between Noun Categories. EMNLP Thahir Mohamed, Estevam R. Hruschka Jr., Tom M. Mitchell
2011	A	`conf`	Neural Representations of Word Meanings. INTERSPEECH Tom M. Mitchell
2011	J	`jnl`	Quantitative modeling of the neural representation of objects: How semantic feature norms can account for fMRI activation. NeuroImage Kai-min Kevin Chang, Tom M. Mitchell, Marcel Adam Just
2011	A*	`conf`	Random Walk Inference and Learning in A Large Scale Knowledge Base. EMNLP Ni Lao, Tom M. Mitchell, William W. Cohen
2011	A*	`conf`	Which Noun Phrases Denote Which Concepts? ACL Jayant Krishnamurthy, Tom M. Mitchell
2010	A	`conf`	Coupled semi-supervised learning for information extraction. WSDM Andrew Carlson, Justin Betteridge, Richard C. Wang, Estevam R. Hruschka Jr., Tom M. Mitchell
2010	—	`conf`	Learning to Tag from Open Vocabulary Labels. ECML/PKDD (2) Edith Law, Burr Settles, Tom M. Mitchell
2010	A*	`conf`	Toward an Architecture for Never-Ending Language Learning. AAAI Andrew Carlson, Justin Betteridge, Bryan Kisiel, Burr Settles, Estevam R. Hruschka Jr., Tom M. Mitchell
2009	J	`jnl`	A Combined Expression-Interaction Model for Inferring the Temporal Activity of Transcription Factors. J. Comput. Biol. Yanxin Shi, Michael Klutstein, Itamar Simon, Tom M. Mitchell, Ziv Bar-Joseph
2009	J	`jnl`	Machine learning classifiers and fMRI: A tutorial overview. NeuroImage Francisco Pereira, Tom M. Mitchell, Matthew M. Botvinick
2009	J	`jnl`	Modeling fMRI data generated by overlapping cognitive processes with unknown onsets using Hidden Process Models. NeuroImage Rebecca A. Hutchinson, Radu Stefan Niculescu, Timothy A. Keller, Indrayana Rustandi, Tom M. Mitchell
2009	Misc	`conf`	Populating the Semantic Web by Macro-reading Internet Text. ISWC Tom M. Mitchell, Justin Betteridge, Andrew Carlson, Estevam R. Hruschka Jr., Richard C. Wang
2009	—	`conf`	Quantitative modeling of the neural representation of adjective-noun phrases to account for fMRI activation. ACL/IJCNLP Kai-min Kevin Chang, Vladimir Cherkassky, Tom M. Mitchell, Marcel Adam Just
2009	—	`conf`	Search war: a game for improving web search. KDD Workshop on Human Computation Edith Law, Luis von Ahn, Tom M. Mitchell
2009	—	`conf`	Toward Mixed-Initiative Email Clustering. AAAI Spring Symposium: Agents that Learn from Human Teachers Yifen Huang, Tom M. Mitchell
2009	—	`conf`	Toward Never Ending Language Learning. AAAI Spring Symposium: Learning by Reading and Learning to Read Justin Betteridge, Andrew Carlson, Sue Ann Hong, Estevam R. Hruschka Jr., Edith L. M. Law, Tom M. Mitchell, Sophie H. Wang
2009	—	`conf`	Zero-shot Learning with Semantic Output Codes. NIPS Mark Palatucci, Dean Pomerleau, Geoffrey E. Hinton, Tom M. Mitchell
2008	B	`conf`	A Combined Expression-Interaction Model for Inferring the Temporal Activity of Transcription Factors. RECOMB Yanxin Shi, Itamar Simon, Tom M. Mitchell, Ziv Bar-Joseph
2008	B	`conf`	Computational Models of Neural Representations in the Human Brain. ALT Tom M. Mitchell
2008	B	`conf`	Computational Models of Neural Representations in the Human Brain. Discovery Science Tom M. Mitchell
2007	A*	`conf`	A Theoretical Framework for Learning Bayesian Networks with Parameter Inequality Constraints. IJCAI Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat Rao
2007	—	`conf`	Classification in Very High Dimensional Problems with Handfuls of Examples. PKDD Mark Palatucci, Tom M. Mitchell
2007	—	`conf`	Continuous hidden process model for time series expression experiments. ISMB/ECCB (Supplement of Bioinformatics) Yanxin Shi, Michael Klutstein, Itamar Simon, Tom M. Mitchell, Ziv Bar-Joseph
2007	A	`conf`	Feature selection for grasp recognition from optical markers. IROS Lillian Y. Chang, Nancy S. Pollard, Tom M. Mitchell, Eric P. Xing
2007	J	`jnl`	In Honor of Marvin Minsky's Contributions on his 80th Birthday. AI Mag. Danny Hillis, John McCarthy, Tom M. Mitchell, Erik T. Mueller, Doug Riecken, Aaron Sloman, Patrick Henry Winston
2007	J	`jnl`	Inferring pairwise regulatory relationships from multiple time series datasets. Bioinform. Yanxin Shi, Tom M. Mitchell, Ziv Bar-Joseph
2007	—	`conf`	Learning, Information Extraction and the Web. ECML/PKDD Tom M. Mitchell
2007	Misc	`conf`	Modeling the fMRI Signal via Hierarchical Clustered Hidden Process Models. AMIA Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat Rao
2006	J	`jnl`	Bayesian Network Learning with Parameter Constraints. J. Mach. Learn. Res. Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat Rao
2006	A*	`conf`	Extracting Knowledge about Users' Activities from Raw Workstation Contents. AAAI Tom M. Mitchell, Sophie H. Wang, Yifen Huang, Adam Cheyer
2006	A*	`conf`	Hidden process models. ICML Rebecca A. Hutchinson, Tom M. Mitchell, Indrayana Rustandi
2006	—	`ch.`	Semi-Supervised Text Classification Using EM. Semi-Supervised Learning Kamal Nigam, Andrew McCallum, Tom M. Mitchell
2006	A*	`conf`	Text clustering with extended user feedback. SIGIR Yifen Huang, Tom M. Mitchell
2005	A	`conf`	Exploiting Parameter Related Domain Knowledge for Learning in Graphical Models. SDM Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat Rao
2005	—	`conf`	Learning Topic-Based Mixture Models for Factored Classification. CIMCA/IAWTIC Qiong Chen, Tom M. Mitchell
2005	—	`conf`	Learning Topic-Based Mixture Models for Factored Classification. CIMCA/IAWTIC Qiong Chen, Tom M. Mitchell
2005	B	`conf`	Machine Learning for Analyzing Human Brain Function. PAKDD Tom M. Mitchell
2005	J	`jnl`	Predicting dire outcomes of patients with community acquired pneumonia. J. Biomed. Informatics Gregory F. Cooper, Vijoy Abraham, Constantin F. Aliferis, John M. Aronis, Bruce G. Buchanan, Rich Caruana, Michael J. Fine, Janine E. Janosky, Gary Livingston, Tom M. Mitchell
2005	J	`jnl`	The 2005 AAAI Classic Paper Awards. AI Mag. Tom M. Mitchell, Hector J. Levesque
2004	—	`conf`	Detecting Significant Multidimensional Spatial Clusters. NIPS Daniel B. Neill, Andrew W. Moore, Francisco Pereira, Tom M. Mitchell
2004	—	`conf`	Inferring Ongoing Activities of Workstation Users by Clustering Email. CEAS Yifen Huang, Dinesh Govindaraju, Tom M. Mitchell, Vitor Rocha de Carvalho, William W. Cohen
2004	—	`conf`	Intelligent Workstation Agents and Unstructured Workstation Data. Web Intelligence Tom M. Mitchell
2004	A*	`conf`	Learning to Classify Email into "Speech Acts". EMNLP William W. Cohen, Vitor R. Carvalho, Tom M. Mitchell
2004	J	`jnl`	Learning to Decode Cognitive States from Brain Images. Mach. Learn. Tom M. Mitchell, Rebecca A. Hutchinson, Radu Stefan Niculescu, Francisco Pereira, Xuerui Wang, Marcel Adam Just, Sharlene D. Newman
2003	J	`jnl`	AI Matures and Flourishes in North America. IEEE Intell. Syst. David Mike Hamilton, Tom M. Mitchell, Carol McKenna Hamilton
2003	Misc	`conf`	Artificial Intelligence and Human Brain Imaging. AI Tom M. Mitchell
2003	Misc	`conf`	Classifying Instantaneous Cognitive States from fMRI Data. AMIA Tom M. Mitchell, Rebecca A. Hutchinson, Marcel Adam Just, Radu Stefan Niculescu, Francisco Pereira, Xuerui Wang
2003	J	`jnl`	In Memoriam: Charles Rosen, Norman Nielsen, and Saul Amarel. AI Mag. Peter E. Hart, Nils J. Nilsson, Ray Perrault, Tom M. Mitchell, Casimir A. Kulikowski
2003	—	`conf`	Training fMRI Classifiers to Discriminate Cognitive States across Multiple Subjects. NIPS Xuerui Wang, Rebecca A. Hutchinson, Tom M. Mitchell
2001	J	`jnl`	AAAI 2000 Workshop Reports. AI Mag. Yves Lespérance, Gerd Wagner, William P. Birmingham, Kurt Bollacker, Alexander Nareyek, J. Paul Walser, David W. Aha, Timothy W. Finin, Benjamin N. Grosof, Nathalie Japkowicz, Robert Holte, Lise Getoor, Carla P. Gomes, Holger H. Hoos, Alan C. Schultz, Miroslav Kubat, Tom M. Mitchell, Jörg Denzinger, Yolanda Gil, Karen L. Myers, Claudio Bettini, Angelo Montanari
2001	J	`jnl`	Author's response to reviews of Machine Learning. Artif. Intell. Tom M. Mitchell
2001	—	`conf`	Distinguishing Natural Language Processes on the Basis of fMRI-Measured Brain Activation. PKDD Francisco Pereira, Marcel Adam Just, Tom M. Mitchell
2001	A*	`conf`	Extracting targeted data from the web. KDD Tom M. Mitchell
2000	A*	`conf`	Discovering Test Set Regularities in Relational Domains. ICML Seán Slattery, Tom M. Mitchell
2000	J	`jnl`	Learning to construct knowledge bases from the World Wide Web. Artif. Intell. Mark Craven, Dan DiPasquo, Dayne Freitag, Andrew McCallum, Tom M. Mitchell, Kamal Nigam, Seán Slattery
2000	J	`jnl`	Text Classification from Labeled and Unlabeled Documents using EM. Mach. Learn. Kamal Nigam, Andrew Kachites McCallum, Sebastian Thrun, Tom M. Mitchell
1999	J	`jnl`	Automated Learning and Discovery State-of-the-Art and Research Topics in a Rapidly Growing Field. AI Mag. Sebastian Thrun, Christos Faloutsos, Tom M. Mitchell, Larry A. Wasserman
1999	J	`jnl`	Machine Learning and Data Mining. Commun. ACM Tom M. Mitchell
1998	A*	`conf`	Combining Labeled and Unlabeled Data with Co-Training. COLT Avrim Blum, Tom M. Mitchell
1998	A*	`conf`	Improving Text Classification by Shrinkage in a Hierarchy of Classes. ICML Andrew McCallum, Ronald Rosenfeld, Tom M. Mitchell, Andrew Y. Ng
1998	—	`conf`	Learning to Classify Text from Labeled and Unlabeled Documents. AAAI/IAAI Kamal Nigam, Andrew McCallum, Sebastian Thrun, Tom M. Mitchell
1998	—	`conf`	Learning to Extract Symbolic Knowledge from the World Wide Web. AAAI/IAAI Mark Craven, Dan DiPasquo, Dayne Freitag, Andrew McCallum, Tom M. Mitchell, Kamal Nigam, Seán Slattery
1997	J	`jnl`	An evaluation of machine-learning methods for predicting pneumonia mortality. Artif. Intell. Medicine Gregory F. Cooper, Constantin F. Aliferis, Richard Ambrosino, John M. Aronis, Bruce G. Buchanan, Rich Caruana, Michael J. Fine, Clark Glymour, Geoffrey J. Gordon, Barbara H. Hanusa, Janine E. Janosky, Christopher Meek, Tom M. Mitchell, Thomas S. Richardson, Peter Spirtes
1997	J	`jnl`	Does Machine Learning Really Work? AI Mag. Tom M. Mitchell
1997	Misc	`conf`	Machine Learning Meets Natural Language. EPIA Tom M. Mitchell
1997	—	`book`	Machine learning, International Edition. Tom M. Mitchell
1997	—	`conf`	Web Watcher: A Tour Guide for the World Wide Web. IJCAI (1) Thorsten Joachims, Dayne Freitag, Tom M. Mitchell
1996	—	`conf`	Challenge Problems for Artificial Intelligence (Panel Statements). AAAI/IAAI, Vol. 2 Bart Selman, Rodney A. Brooks, Thomas L. Dean, Eric Horvitz, Tom M. Mitchell, Nils J. Nilsson
1995	A*	`conf`	Learning One More Thing. IJCAI Sebastian Thrun, Tom M. Mitchell
1995	J	`jnl`	Lifelong robot learning. Robotics Auton. Syst. Sebastian Thrun, Tom M. Mitchell
1995	—	`conf`	Machine Learning in the World Wide Web. ECML Tom M. Mitchell
1995	—	`conf`	Using the Future to Sort Out the Present: Rankprop and Multitask Learning for Medical Risk Evaluation. NIPS Rich Caruana, Shumeet Baluja, Tom M. Mitchell
1994	J	`jnl`	Experience with a Learning Personal Assistant. Commun. ACM Tom M. Mitchell, Rich Caruana, Dayne Freitag, John P. McDermott, David Zabowski
1993	J	`jnl`	An Apprentice-Based Approach to Knowledge Acquisition. Artif. Intell. Sridhar Mahadevan, Tom M. Mitchell, Jack Mostow, Louis I. Steinberg, Prasad Tadepalli
1993	A*	`conf`	Explanation Based Learning: A Comparison of Symbolic and Neural Network Approaches. ICML Tom M. Mitchell, Sebastian Thrun
1993	A*	`conf`	Integrating Inductive Neural Network Learning and Explanation-Based Learning. IJCAI Sebastian Thrun, Tom M. Mitchell
1993	—	`conf`	Office Automation Systems that are "Programmed" by their Users. GI Jahrestagung Siegfried Bocionek, Tom M. Mitchell
1993	J	`jnl`	The engineering design research center of Carnegie Mellon University. Proc. IEEE Georgette H. Demes, Steven J. Fenves, Ignacio E. Grossmann, Chris T. Hendrickson, Tom M. Mitchell, Friedrich B. Prinz, Daniel P. Siewiorek, Eswaran Subrahmanian, Sarosh Talukdar, Arthur Westerberg
1992	A*	`conf`	A Personal Learning Apprentice. AAAI C. Lisa Dent, Jesus Boticario, John P. McDermott, Tom M. Mitchell, David Zabowski
1992	—	`conf`	Explanation-Based Neural Network Learning for Robot Control. NIPS Tom M. Mitchell, Sebastian Thrun
1991	—	`ch.`	Justification-Based Refinement of Expert Knowledge. Knowledge Discovery in Databases Jeffrey C. Schlimmer, Tom M. Mitchell, John P. McDermott
1991	J	`jnl`	Learning reliable manipulation strategies without initial physical models. Robotics Auton. Syst. Alan D. Christiansen, Matthew T. Mason, Tom M. Mitchell
1991	C	`conf`	Personal Learning Apprentices. ISMIS Tom M. Mitchell
1991	J	`jnl`	Plan-Then-Compile Architectures. SIGART Bull. Tom M. Mitchell
1990	A*	`conf`	Becoming Increasingly Reactive. AAAI Tom M. Mitchell
1990	J	`jnl`	Embedding Learning in a General Frame-Based Architecture. Int. J. Pattern Recognit. Artif. Intell. Toshikazu Tanaka, Tom M. Mitchell
1990	A*	`conf`	Learning reliable manipulation strategies without initial physical models. ICRA Alan D. Christiansen, Matthew T. Mason, Tom M. Mitchell
1989	J	`jnl`	Ambler: An Autonomous Rover for Planetary Exploration. Computer John Bares, Martial Hebert, Takeo Kanade, Eric Krotkov, Tom M. Mitchell, Reid G. Simmons, William Whittaker
1989	—	`conf`	Embedding learning in a general frame-based architecture. TAI Toshikazu Tanaka, Tom M. Mitchell
1989	—	`conf`	Experiments in Robot Learning. ML Matthew T. Mason, Alan D. Christiansen, Tom M. Mitchell
1989	—	`conf`	On Becoming Reactive. ML Jim Blythe, Tom M. Mitchell
1988	A*	`ed.`	Proceedings of the 7th National Conference on Artificial Intelligence, St. Paul, MN, USA, August 21-26, 1988. AAAI Howard E. Shrobe, Tom M. Mitchell, Reid G. Smith
1986	J	`jnl`	Explanation-Based Generalization: A Unifying View. Mach. Learn. Tom M. Mitchell, Richard M. Keller, Smadar T. Kedar-Cabelli
1985	J	`jnl`	A Knowledge-Based Approach to Design. IEEE Trans. Pattern Anal. Mach. Intell. Tom M. Mitchell, Louis I. Steinberg, Jeffrey S. Shulman
1985	A*	`conf`	LEAP: A Learning Apprentice for VLSI Design. IJCAI Tom M. Mitchell, Sridhar Mahadevan, Louis I. Steinberg
1985	—	`conf`	Learning Improved Integrity Constraints and Schemes From Exceptions in Data and Knowledge Bases. On Knowledge Base Management Systems (Islamorada) Alexander Borgida, Tom M. Mitchell, Keith E. Williamson
1985	—	`conf`	Learning in Knowledge-Base Management Systems. On Knowledge Base Management Systems (Islamorada) Tom M. Mitchell
1985	A*	`conf`	Representation and Use of Explicit Justifications for Knowledge Base Refinements. IJCAI Reid G. Smith, Howard A. Winston, Tom M. Mitchell, Bruce G. Buchanan
1985	J	`jnl`	The Redesign System: A Knowledge-Based Approach to VLSI CAD. IEEE Des. Test Louis I. Steinberg, Tom M. Mitchell
1984	A*	`conf`	A knowledge based approach to VLSI CAD the redesign system. DAC Louis I. Steinberg, Tom M. Mitchell
1983	A*	`conf`	An Intelligent Aid for Circuit Redesign. AAAI Tom M. Mitchell, Louis I. Steinberg, Smadar T. Kedar-Cabelli, Van E. Kelly, Jeffrey S. Shulman, Timothy Weinrich
1983	A*	`conf`	Learning and Problem Solving. IJCAI Tom M. Mitchell
1983	J	`jnl`	Machine Learning: A Historical and Methodological Analysis. AI Mag. Jaime G. Carbonell, Ryszard S. Michalski, Tom M. Mitchell
1982	A*	`conf`	Acquisition of Appropriate Bias for Inductive Concept Learning. AAAI Paul E. Utgoff, Tom M. Mitchell
1982	J	`jnl`	Artificial Intelligence Research at Rutgers. AI Mag. Tom M. Mitchell
1982	J	`jnl`	Generalization as Search. Artif. Intell. Tom M. Mitchell
1982	J	`jnl`	Learning from Solution Paths: An Approach to the Credit Assignment Problem. AI Mag. Derek H. Sleeman, Pat Langley, Tom M. Mitchell
1981	A*	`conf`	Learning Problem-Solving Heuristics Through Practice. IJCAI Tom M. Mitchell, Paul E. Utgoff, Bernard Nudel, Ranan B. Banerji
1981	A*	`conf`	Representations for Reasoning about Digital Circuits. IJCAI Tom M. Mitchell, Louis I. Steinberg, Reid G. Smith, Pat Schooley, Howard Jacobs, Van E. Kelly
1979	A*	`conf`	An Analysis of Generalization as a Search Problem. IJCAI Tom M. Mitchell
1977	A*	`conf`	A Model for Learning Systems. IJCAI Reid G. Smith, Tom M. Mitchell, R. A. Chestek, Bruce G. Buchanan
1977	J	`jnl`	Model-directed learning of production rules. SIGART Newsl. Bruce G. Buchanan, Tom M. Mitchell
1977	A*	`conf`	Version Spaces: A Candidate Elimination Approach to Rule Learning. IJCAI Tom M. Mitchell