Mooney, Raymond J.

89 publications

AAAI 2021 Deep Just-in-Time Inconsistency Detection Between Comments and Source Code Sheena Panthaplackel, Junyi Jessy Li, Milos Gligoric, Raymond J. Mooney

AAAI 2021 Dialog Policy Learning for Joint Clarification and Active Learning Queries Aishwarya Padmakumar, Raymond J. Mooney

AAAI 2020 Associating Natural Language Comment and Source Code Entities Sheena Panthaplackel, Milos Gligoric, Raymond J. Mooney, Junyi Jessy Li

JAIR 2020 Jointly Improving Parsing and Perception for Natural Language Commands Through Human-Robot Dialog Jesse Thomason, Aishwarya Padmakumar, Jivko Sinapov, Nick Walker, Yuqian Jiang, Harel Yedidsion, Justin W. Hart, Peter Stone, Raymond J. Mooney

IJCAI 2019 Using Natural Language for Reward Shaping in Reinforcement Learning Prasoon Goyal, Scott Niekum, Raymond J. Mooney

AAAI 2018 Guiding Exploratory Behaviors for Multi-Modal Grounding of Linguistic Descriptions Jesse Thomason, Jivko Sinapov, Raymond J. Mooney, Peter Stone

IJCAI 2017 Multi-Modal Word Synset Induction Jesse Thomason, Raymond J. Mooney

CoRL 2017 Opportunistic Active Learning for Grounding Natural Language Descriptions Jesse Thomason, Aishwarya Padmakumar, Jivko Sinapov, Justin W. Hart, Peter Stone, Raymond J. Mooney

IJCAI 2017 Stacking with Auxiliary Features Nazneen Fatema Rajani, Raymond J. Mooney

IJCAI 2016 Learning Multi-Modal Grounded Linguistic Semantics by Playing "i Spy" Jesse Thomason, Jivko Sinapov, Maxwell Svetlik, Peter Stone, Raymond J. Mooney

AAAI 2016 Learning Statistical Scripts with LSTM Recurrent Neural Networks Karl Pichotta, Raymond J. Mooney

IJCAI 2015 Learning to Interpret Natural Language Commands Through Human-Robot Dialog Jesse Thomason, Shiqi Zhang, Raymond J. Mooney, Peter Stone

AAAI 2013 Generating Natural-Language Video Descriptions Using Text-Mined Knowledge Niveda Krishnamoorthy, Girish Malkarnenkar, Raymond J. Mooney, Kate Saenko, Sergio Guadarrama

ECML-PKDD 2013 Using Both Latent and Supervised Shared Topics for Multitask Learning Ayan Acharya, Aditya Rawal, Raymond J. Mooney, Eduardo R. Hruschka

AAAI 2011 Abductive Markov Logic for Plan Recognition Parag Singla, Raymond J. Mooney

ECML-PKDD 2011 Abductive Plan Recognition by Extending Bayesian Logic Programs Sindhu Raghavan, Raymond J. Mooney

AAAI 2011 Learning to Interpret Natural Language Navigation Instructions from Observations David L. Chen, Raymond J. Mooney

ECML-PKDD 2011 Online Structure Learning for Markov Logic Networks Tuyen N. Huynh, Raymond J. Mooney

ICML 2010 Spherical Topic Models Joseph Reisinger, Austin Waters, Bryan Silverthorn, Raymond J. Mooney

JAIR 2010 Training a Multilingual Sportscaster: Using Perceptual Context to Learn Language David L. Chen, Joohyun Kim, Raymond J. Mooney

AAAI 2010 Using Closed Captions as Supervision for Video Activity Recognition Sonal Gupta, Raymond J. Mooney

ECML-PKDD 2009 Learning to Disambiguate Search Queries from Short Sessions Lilyana Mihalkova, Raymond J. Mooney

ECML-PKDD 2009 Max-Margin Weight Learning for Markov Logic Networks Tuyen N. Huynh, Raymond J. Mooney

MLJ 2009 Semi-Supervised Graph Clustering: A Kernel Approach Brian Kulis, Sugato Basu, Inderjit S. Dhillon, Raymond J. Mooney

IJCAI 2009 Transfer Learning from Minimal Target Data by Mapping Across Relational Domains Lilyana Mihalkova, Raymond J. Mooney

CVPRW 2009 Using Closed Captions to Train Activity Recognizers That Improve Video Retrieval Sonal Gupta, Raymond J. Mooney

ICML 2008 Discriminative Structure and Parameter Learning for Markov Logic Networks Tuyen N. Huynh, Raymond J. Mooney

ECML-PKDD 2008 Learning Language from Its Perceptual Context Raymond J. Mooney

AAAI 2008 Learning to Connect Language and Perception Raymond J. Mooney

ICML 2008 Learning to Sportscast: A Test of Grounded Language Acquisition David L. Chen, Raymond J. Mooney

ECML-PKDD 2008 Watch, Listen & Learn: Co-Training on Captioned Images and Videos Sonal Gupta, Joohyun Kim, Kristen Grauman, Raymond J. Mooney

ICML 2007 Bottom-up Learning of Markov Logic Network Structure Lilyana Mihalkova, Raymond J. Mooney

AAAI 2007 Learning Language Semantics from Ambiguous Supervision Rohit J. Kate, Raymond J. Mooney

AAAI 2007 Mapping and Revising Markov Logic Networks for Transfer Learning Lilyana Mihalkova, Tuyen N. Huynh, Raymond J. Mooney

ICML 2007 Multiple Instance Learning for Sparse Positive Bags Razvan C. Bunescu, Raymond J. Mooney

ECML-PKDD 2005 Active Learning for Probability Estimation Using Jensen-Shannon Divergence Prem Melville, Stewart M. Yang, Maytal Saar-Tsechansky, Raymond J. Mooney

ECML-PKDD 2005 Combining Bias and Variance Reduction Techniques for Regression Trees Yuk Lai Suen, Prem Melville, Raymond J. Mooney

AAAI 2005 Learning to Transform Natural to Formal Languages Rohit J. Kate, Yuk Wah Wong, Raymond J. Mooney

ICML 2005 Semi-Supervised Graph Clustering: A Kernel Approach Brian Kulis, Sugato Basu, Inderjit S. Dhillon, Raymond J. Mooney

NeurIPS 2005 Subsequence Kernels for Relation Extraction Raymond J. Mooney, Razvan C. Bunescu

ICML 2004 Diverse Ensembles for Active Learning Prem Melville, Raymond J. Mooney

ICML 2004 Integrating Constraints and Metric Learning in Semi-Supervised Clustering Mikhail Bilenko, Sugato Basu, Raymond J. Mooney

JAIR 2003 Acquiring Word-Meaning Mappings for Natural Language Interfaces Cynthia A. Thompson, Raymond J. Mooney

JMLR 2003 Bottom-up Relational Learning of Pattern Matching Rules for Information Extraction Mary Elaine Califf, Raymond J. Mooney

IJCAI 2003 Constructing Diverse Classifier Ensembles Using Artificial Training Examples Prem Melville, Raymond J. Mooney

AAAI 2002 Content-Boosted Collaborative Filtering for Improved Recommendations Prem Melville, Raymond J. Mooney, Ramadass Nagarajan

ICML 2002 Semi-Supervised Clustering by Seeding Sugato Basu, Arindam Banerjee, Raymond J. Mooney

IJCAI 2001 Mining Soft-Matching Rules from Textual Data Un Yong Nahm, Raymond J. Mooney

ECML-PKDD 2001 Using Multiple Clause Constructors in Inductive Logic Programming for Semantic Parsing Lappoon R. Tang, Raymond J. Mooney

AAAI 2000 A Mutually Beneficial Integration of Data Mining and Information Extraction Un Yong Nahm, Raymond J. Mooney

ICML 1999 Active Learning for Natural Language Parsing and Information Extraction Cynthia A. Thompson, Mary Elaine Califf, Raymond J. Mooney

AAAI 1999 Automatic Construction of Semantic Lexicons for Learning Natural Language Interfaces Cynthia A. Thompson, Raymond J. Mooney

MLJ 1999 Guest Editors' Introduction: Machine Learning and Natural Language Claire Cardie, Raymond J. Mooney

AAAI 1999 Relational Learning of Pattern-Match Rules for Information Extraction Mary Elaine Califf, Raymond J. Mooney

ICML 1998 Theory Refinement of Bayesian Networks with Hidden Variables Sowmya Ramachandran, Raymond J. Mooney

IJCAI 1997 Learning to Improve Both Efficiency and Quality of Planning Tara A. Estlin, Raymond J. Mooney

AAAI 1996 A Novel Application of Theory Refinement to Student Modeling Paul T. Baffes, Raymond J. Mooney

AAAI 1996 Learning to Parse Database Queries Using Inductive Logic Programming John M. Zelle, Raymond J. Mooney

AAAI 1996 Multi-Strategy Learning of Search Control for Partial-Order Planning Tara A. Estlin, Raymond J. Mooney

AAAI 1996 Qualitative Multiple-Fault Diagnosis of Continuous Dynamic Systems Using Behavioral Modes Siddarth Subramanian, Raymond J. Mooney

MLJ 1995 Automated Refinement of First-Order Horn-Clause Domain Theories Bradley L. Richards, Raymond J. Mooney

MLJ 1995 Encouraging Experimental Results on Learning CNF Raymond J. Mooney

JAIR 1995 Induction of First-Order Decision Lists: Results on Learning the past Tense of English Verbs Raymond J. Mooney, Mary Elaine Califf

ICML 1994 Combining Top-Down and Bottom-up Techniques in Inductive Logic Programming John M. Zelle, Raymond J. Mooney, Joshua B. Konvisser

ICML 1994 Comparing Methods for Refining Certainty-Factor Rule-Bases J. Jeffrey Mahoney, Raymond J. Mooney

AAAI 1994 Inducing Deterministic Prolog Parsers from Treebanks: A Machine Learning Approach John M. Zelle, Raymond J. Mooney

AAAI 1994 Inductive Learning for Abductive Diagnosis Cynthia A. Thompson, Raymond J. Mooney

IJCAI 1993 Combining FOIL and EBG to Speed-up Logic Programs John M. Zelle, Raymond J. Mooney

MLJ 1993 Induction over the Unexplained: Using Overly-General Domain Theories to Aid Concept Learning Raymond J. Mooney

AAAI 1993 Learning Semantic Grammars with Constructive Inductive Logic Programming John M. Zelle, Raymond J. Mooney

IJCAI 1993 Symbolic Revision of Theories with M-of-N Rules Paul T. Baffes, Raymond J. Mooney

NeurIPS 1992 Combining Neural and Symbolic Learning to Revise Probabilistic Rule Bases J. Jeffrey Mahoney, Raymond J. Mooney

AAAI 1992 Learning Relations by Pathfinding Bradley L. Richards, Raymond J. Mooney

AAAI 1991 An Efficient First-Order Horn-Clause Abduction System Based on the ATMS Hwee Tou Ng, Raymond J. Mooney

ICML 1991 Constructive Induction in Theory Refinement Raymond J. Mooney, Dirk Ourston

ICML 1991 First-Order Theory Revision Bradley L. Richards, Raymond J. Mooney

ICML 1991 Improving Shared Rules in Multiple Category Domain Theories Dirk Ourston, Raymond J. Mooney

MLJ 1991 Symbolic and Neural Learning Algorithms: An Experimental Comparison Jude W. Shavlik, Raymond J. Mooney, Geoffrey G. Towell

AAAI 1990 Changing the Rules: A Comprehensive Approach to Theory Refinement Dirk Ourston, Raymond J. Mooney

ICML 1990 Machine Learning, Proceedings of the Seventh International Conference on Machine Learning, Austin, Texas, USA, June 21-23, 1990 Bruce W. Porter, Raymond J. Mooney

AAAI 1990 On the Role of Coherence in Abductive Explanation Hwee Tou Ng, Raymond J. Mooney

IJCAI 1989 An Experimental Comparison of Symbolic and Connectionist Learning Algorithms Raymond J. Mooney, Jude W. Shavlik, Geoffrey G. Towell, Alan Gove

ICML 1989 Induction over the Unexplained: Integrated Learning of Concepts with Both Explainable and Conventional Aspects Raymond J. Mooney, Dirk Ourston

ICML 1989 Processing Issues in Comparisons of Symbolic and Connectionist Learning Systems Douglas H. Fisher, Kathleen B. McKusick, Raymond J. Mooney, Jude W. Shavlik, Geoffrey G. Towell

IJCAI 1989 The Effect of Rule Use on the Utility of Explanation-Based Learning Raymond J. Mooney

ICML 1988 Generalizing the Order of Operators in Macro-Operators Raymond J. Mooney

AAAI 1986 A Domain Independent Explanation-Based Generalizer Raymond J. Mooney, Scott W. Bennett

MLJ 1986 Explanation-Based Learning: An Alternative View Gerald DeJong, Raymond J. Mooney

IJCAI 1985 Learning Schemata for Natural Language Processing Raymond J. Mooney, Gerald DeJong