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ORCIDRaymond J. Mooney
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- affiliation: University of Texas at Austin, USA
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2020 – today
- 2021
[c173]Sheena Panthaplackel, Junyi Jessy Li, Milos Gligoric, Raymond J. Mooney:
Deep Just-In-Time Inconsistency Detection Between Comments and Source Code. AAAI 2021: 427-435- [c172]Aishwarya Padmakumar, Raymond J. Mooney:
Dialog Policy Learning for Joint Clarification and Active Learning Queries. AAAI 2021: 13604-13612 - [c171]Raymond J. Mooney, Jude W. Shavlik:
A Recap of Early Work on Theory and Knowledge Refinement. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering 2021 - [i42]Jiyang Zhang, Sheena Panthaplackel, Pengyu Nie, Raymond J. Mooney, Junyi Jessy Li, Milos Gligoric:
Learning to Generate Code Comments from Class Hierarchies. CoRR abs/2103.13426 (2021) - [i41]Prasoon Goyal, Raymond J. Mooney, Scott Niekum:
Zero-shot Task Adaptation using Natural Language. CoRR abs/2106.02972 (2021) - [i40]Pengyu Nie, Jiyang Zhang, Junyi Jessy Li, Raymond J. Mooney, Milos Gligoric:
Evaluation Methodologies for Code Learning Tasks. CoRR abs/2108.09619 (2021) - 2020
- [j24]Jesse Thomason, Aishwarya Padmakumar, Jivko Sinapov, Nick Walker, Yuqian Jiang, Harel Yedidsion, Justin W. Hart, Peter Stone, Raymond J. Mooney:
Jointly Improving Parsing and Perception for Natural Language Commands through Human-Robot Dialog. J. Artif. Intell. Res. 67: 327-374 (2020) - [c170]Sheena Panthaplackel, Milos Gligoric, Raymond J. Mooney, Junyi Jessy Li:
Associating Natural Language Comment and Source Code Entities. AAAI 2020: 8592-8599 - [c169]Sheena Panthaplackel, Pengyu Nie, Milos Gligoric, Junyi Jessy Li, Raymond J. Mooney:
Learning to Update Natural Language Comments Based on Code Changes. ACL 2020: 1853-1868 - [c168]Tong Gao, Qi Huang, Raymond J. Mooney:
Systematic Generalization on gSCAN with Language Conditioned Embedding. AACL/IJCNLP 2020: 491-503 - [i39]Sheena Panthaplackel, Pengyu Nie, Milos Gligoric, Junyi Jessy Li, Raymond J. Mooney:
Learning to Update Natural Language Comments Based on Code Changes. CoRR abs/2004.12169 (2020) - [i38]Aishwarya Padmakumar, Raymond J. Mooney:
Dialog Policy Learning for Joint Clarification and Active Learning Queries. CoRR abs/2006.05456 (2020) - [i37]Aishwarya Padmakumar, Raymond J. Mooney:
Dialog as a Vehicle for Lifelong Learning. CoRR abs/2006.14767 (2020) - [i36]Jialin Wu, Liyan Chen, Raymond J. Mooney:
Improving VQA and its Explanations by Comparing Competing Explanations. CoRR abs/2006.15631 (2020) - [i35]Prasoon Goyal, Scott Niekum, Raymond J. Mooney:
PixL2R: Guiding Reinforcement Learning Using Natural Language by Mapping Pixels to Rewards. CoRR abs/2007.15543 (2020) - [i34]Tong Gao, Qi Huang, Raymond J. Mooney:
Systematic Generalization on gSCAN with Language Conditioned Embedding. CoRR abs/2009.05552 (2020) - [i33]Sheena Panthaplackel, Junyi Jessy Li, Milos Gligoric, Raymond J. Mooney:
Deep Just-In-Time Inconsistency Detection Between Comments and Source Code. CoRR abs/2010.01625 (2020)
2010 – 2019
- 2019
- [c167]Jialin Wu, Zeyuan Hu
, Raymond J. Mooney:
Generating Question Relevant Captions to Aid Visual Question Answering. ACL (1) 2019: 3585-3594 - [c166]Julia Strout, Ye Zhang, Raymond J. Mooney:
Do Human Rationales Improve Machine Explanations? BlackboxNLP@ACL 2019: 56-62 - [c165]Jialin Wu, Raymond J. Mooney:
Faithful Multimodal Explanation for Visual Question Answering. BlackboxNLP@ACL 2019: 103-112 - [c164]Jesse Thomason, Aishwarya Padmakumar, Jivko Sinapov, Nick Walker, Yuqian Jiang, Harel Yedidsion, Justin W. Hart, Peter Stone, Raymond J. Mooney:
Improving Grounded Natural Language Understanding through Human-Robot Dialog. ICRA 2019: 6934-6941 - [c163]Prasoon Goyal, Scott Niekum, Raymond J. Mooney:
Using Natural Language for Reward Shaping in Reinforcement Learning. IJCAI 2019: 2385-2391 - [c162]Jialin Wu, Raymond J. Mooney:
Self-Critical Reasoning for Robust Visual Question Answering. NeurIPS 2019: 8601-8611 - [c161]Pengyu Nie, Rishabh Rai, Junyi Jessy Li, Sarfraz Khurshid, Raymond J. Mooney, Milos Gligoric:
A framework for writing trigger-action todo comments in executable format. ESEC/SIGSOFT FSE 2019: 385-396 - [c160]Harel Yedidsion, Jacqueline Deans, Connor Sheehan, Mahathi Chillara, Justin W. Hart, Peter Stone, Raymond J. Mooney:
Optimal Use of Verbal Instructions for Multi-robot Human Navigation Guidance. ICSR 2019: 133-143 - [i32]Jialin Wu, Raymond J. Mooney:
Hidden State Guidance: Improving Image Captioning Using an Image Conditioned Autoencoder. ViGIL@NeurIPS 2019 - [i31]Jesse Thomason, Aishwarya Padmakumar, Jivko Sinapov, Nick Walker, Yuqian Jiang, Harel Yedidsion, Justin W. Hart, Peter Stone, Raymond J. Mooney:
Improving Grounded Natural Language Understanding through Human-Robot Dialog. CoRR abs/1903.00122 (2019) - [i30]Prasoon Goyal, Scott Niekum, Raymond J. Mooney:
Using Natural Language for Reward Shaping in Reinforcement Learning. CoRR abs/1903.02020 (2019) - [i29]Jialin Wu, Raymond J. Mooney:
Self-Critical Reasoning for Robust Visual Question Answering. CoRR abs/1905.09998 (2019) - [i28]Julia Strout, Ye Zhang, Raymond J. Mooney:
Do Human Rationales Improve Machine Explanations? CoRR abs/1905.13714 (2019) - [i27]Jialin Wu, Zeyuan Hu, Raymond J. Mooney:
Generating Question Relevant Captions to Aid Visual Question Answering. CoRR abs/1906.00513 (2019) - [i26]Jialin Wu, Raymond J. Mooney:
Hidden State Guidance: Improving Image Captioning using An Image Conditioned Autoencoder. CoRR abs/1910.14208 (2019) - [i25]Sheena Panthaplackel, Milos Gligoric, Raymond J. Mooney, Junyi Jessy Li:
Associating Natural Language Comment and Source Code Entities. CoRR abs/1912.06728 (2019) - 2018
- [c159]Pengyu Nie, Junyi Jessy Li, Sarfraz Khurshid, Raymond J. Mooney, Milos Gligoric:
Natural Language Processing and Program Analysis for Supporting Todo Comments as Software Evolves. AAAI Workshops 2018: 775-778 - [c158]Jesse Thomason, Jivko Sinapov, Raymond J. Mooney, Peter Stone:
Guiding Exploratory Behaviors for Multi-Modal Grounding of Linguistic Descriptions. AAAI 2018: 5520-5527 - [c157]Aishwarya Padmakumar, Peter Stone, Raymond J. Mooney:
Learning a Policy for Opportunistic Active Learning. EMNLP 2018: 1347-1357 - [c156]Nazneen Fatema Rajani, Raymond J. Mooney:
Stacking with Auxiliary Features for Visual Question Answering. NAACL-HLT 2018: 2217-2226 - [i24]Jialin Wu, Zeyuan Hu, Raymond J. Mooney:
Joint Image Captioning and Question Answering. CoRR abs/1805.08389 (2018) - [i23]Pengyu Nie, Rishabh Rai, Junyi Jessy Li, Sarfraz Khurshid, Raymond J. Mooney, Milos Gligoric:
Executable Trigger-Action Comments. CoRR abs/1808.01729 (2018) - [i22]Aishwarya Padmakumar, Peter Stone, Raymond J. Mooney:
Learning a Policy for Opportunistic Active Learning. CoRR abs/1808.10009 (2018) - [i21]Jialin Wu, Raymond J. Mooney:
Faithful Multimodal Explanation for Visual Question Answering. CoRR abs/1809.02805 (2018) - [i20]Justin W. Hart, Harel Yedidsion, Yuqian Jiang, Nick Walker, Rishi Shah, Jesse Thomason, Aishwarya Padmakumar, Rolando Fernandez, Jivko Sinapov, Raymond J. Mooney, Peter Stone:
Interaction and Autonomy in RoboCup@Home and Building-Wide Intelligence. CoRR abs/1810.02919 (2018) - 2017
- [j23]Piyush Khandelwal, Shiqi Zhang, Jivko Sinapov, Matteo Leonetti, Jesse Thomason, Fangkai Yang, Ilaria Gori, Maxwell Svetlik, Priyanka Khante, Vladimir Lifschitz, J. K. Aggarwal, Raymond J. Mooney, Peter Stone:
BWIBots: A platform for bridging the gap between AI and human-robot interaction research. Int. J. Robotics Res. 36(5-7): 635-659 (2017) - [c155]Jesse Thomason, Jivko Sinapov, Raymond J. Mooney:
Guiding Interaction Behaviors for Multi-modal Grounded Language Learning. RoboNLP@ACL 2017: 20-24 - [c154]Jesse Thomason, Aishwarya Padmakumar, Jivko Sinapov, Justin W. Hart, Peter Stone, Raymond J. Mooney:
Opportunistic Active Learning for Grounding Natural Language Descriptions. CoRL 2017: 67-76 - [c153]Subhashini Venugopalan, Lisa Anne Hendricks, Marcus Rohrbach, Raymond J. Mooney, Trevor Darrell, Kate Saenko:
Captioning Images with Diverse Objects. CVPR 2017: 1170-1178 - [c152]Aishwarya Padmakumar, Jesse Thomason, Raymond J. Mooney:
Integrated Learning of Dialog Strategies and Semantic Parsing. EACL (1) 2017: 547-557 - [c151]Nazneen Fatema Rajani, Raymond J. Mooney:
Stacking With Auxiliary Features. IJCAI 2017: 2634-2640 - [c150]Jesse Thomason, Raymond J. Mooney:
Multi-Modal Word Synset Induction. IJCAI 2017: 4116-4122 - [c149]Rodolfo Corona, Jesse Thomason, Raymond J. Mooney:
Improving Black-box Speech Recognition using Semantic Parsing. IJCNLP(2) 2017: 122-127 - [c148]Shobhit Chaurasia, Raymond J. Mooney:
Dialog for Language to Code. IJCNLP(2) 2017: 175-180 - [c147]Elisa Ferracane, Su Wang, Raymond J. Mooney:
Leveraging Discourse Information Effectively for Authorship Attribution. IJCNLP(1) 2017: 584-593 - [i19]Su Wang, Elisa Ferracane, Raymond J. Mooney:
Leveraging Discourse Information Effectively for Authorship Attribution. CoRR abs/1709.02271 (2017) - 2016
- [j22]Islam Beltagy, Stephen Roller, Pengxiang Cheng, Katrin Erk, Raymond J. Mooney:
Representing Meaning with a Combination of Logical and Distributional Models. Comput. Linguistics 42(4): 763-808 (2016) - [c146]Karl Pichotta, Raymond J. Mooney:
Learning Statistical Scripts with LSTM Recurrent Neural Networks. AAAI 2016: 2800-2806 - [c145]Karl Pichotta, Raymond J. Mooney:
Using Sentence-Level LSTM Language Models for Script Inference. ACL (1) 2016 - [c144]Lisa Anne Hendricks, Subhashini Venugopalan, Marcus Rohrbach, Raymond J. Mooney, Kate Saenko, Trevor Darrell:
Deep Compositional Captioning: Describing Novel Object Categories without Paired Training Data. CVPR 2016: 1-10 - [c143]Nazneen Fatema Rajani, Raymond J. Mooney:
Combining Supervised and Unsupervised Enembles for Knowledge Base Population. EMNLP 2016: 1943-1948 - [c142]Subhashini Venugopalan, Lisa Anne Hendricks, Raymond J. Mooney, Kate Saenko:
Improving LSTM-based Video Description with Linguistic Knowledge Mined from Text. EMNLP 2016: 1961-1966 - [c141]Jesse Thomason, Jivko Sinapov, Maxwell Svetlik, Peter Stone, Raymond J. Mooney:
Learning Multi-Modal Grounded Linguistic Semantics by Playing "I Spy". IJCAI 2016: 3477-3483 - [i18]Nazneen Fatema Rajani, Raymond J. Mooney:
Stacking With Auxiliary Features for Combining Supervised and Unsupervised Ensembles. TAC 2016 - [i17]Subhashini Venugopalan, Lisa Anne Hendricks, Raymond J. Mooney, Kate Saenko:
Improving LSTM-based Video Description with Linguistic Knowledge Mined from Text. CoRR abs/1604.01729 (2016) - [i16]Karl Pichotta, Raymond J. Mooney:
Using Sentence-Level LSTM Language Models for Script Inference. CoRR abs/1604.02993 (2016) - [i15]Nazneen Fatema Rajani, Raymond J. Mooney:
Supervised and Unsupervised Ensembling for Knowledge Base Population. CoRR abs/1604.04802 (2016) - [i14]Nazneen Fatema Rajani, Raymond J. Mooney:
Stacking With Auxiliary Features. CoRR abs/1605.08764 (2016) - [i13]Subhashini Venugopalan, Lisa Anne Hendricks, Marcus Rohrbach, Raymond J. Mooney, Trevor Darrell, Kate Saenko:
Captioning Images with Diverse Objects. CoRR abs/1606.07770 (2016) - 2015
- [c140]Vidhoon Viswanathan, Nazneen Fatema Rajani, Yinon Bentor, Raymond J. Mooney:
Stacked Ensembles of Information Extractors for Knowledge-Base Population. ACL (1) 2015: 177-187 - [c139]Chris Quirk, Raymond J. Mooney, Michel Galley:
Language to Code: Learning Semantic Parsers for If-This-Then-That Recipes. ACL (1) 2015: 878-888 - [c138]Subhashini Venugopalan, Marcus Rohrbach, Jeffrey Donahue, Raymond J. Mooney, Trevor Darrell, Kate Saenko:
Sequence to Sequence - Video to Text. ICCV 2015: 4534-4542 - [c137]Jesse Thomason, Shiqi Zhang, Raymond J. Mooney, Peter Stone:
Learning to Interpret Natural Language Commands through Human-Robot Dialog. IJCAI 2015: 1923-1929 - [c136]Subhashini Venugopalan, Huijuan Xu, Jeff Donahue, Marcus Rohrbach, Raymond J. Mooney, Kate Saenko:
Translating Videos to Natural Language Using Deep Recurrent Neural Networks. HLT-NAACL 2015: 1494-1504 - [i12]Nazneen Fatema Rajani, Raymond J. Mooney:
Stacked Ensembles of Information Extractors for Knowledge-Base Population by Combining Supervised and Unsupervised Approaches. TAC 2015 - [i11]Subhashini Venugopalan, Marcus Rohrbach, Jeff Donahue, Raymond J. Mooney, Trevor Darrell, Kate Saenko:
Sequence to Sequence - Video to Text. CoRR abs/1505.00487 (2015) - [i10]Islam Beltagy, Stephen Roller, Pengxiang Cheng, Katrin Erk, Raymond J. Mooney:
Representing Meaning with a Combination of Logical Form and Vectors. CoRR abs/1505.06816 (2015) - [i9]Lisa Anne Hendricks, Subhashini Venugopalan, Marcus Rohrbach, Raymond J. Mooney, Kate Saenko, Trevor Darrell:
Deep Compositional Captioning: Describing Novel Object Categories without Paired Training Data. CoRR abs/1511.05284 (2015) - 2014
- [c135]Islam Beltagy, Raymond J. Mooney:
Efficient Markov Logic Inference for Natural Language Semantics. AAAI Workshop: Statistical Relational Artificial Intelligence 2014 - [c134]Islam Beltagy, Katrin Erk, Raymond J. Mooney:
Probabilistic Soft Logic for Semantic Textual Similarity. ACL (1) 2014: 1210-1219 - [c133]Jesse Thomason, Subhashini Venugopalan, Sergio Guadarrama, Kate Saenko, Raymond J. Mooney:
Integrating Language and Vision to Generate Natural Language Descriptions of Videos in the Wild. COLING 2014: 1218-1227 - [c132]Karl Pichotta, Raymond J. Mooney:
Statistical Script Learning with Multi-Argument Events. EACL 2014: 220-229 - [c131]Ayan Acharya, Raymond J. Mooney, Joydeep Ghosh:
Active Multitask Learning Using Both Latent and Supervised Shared Topics. SDM 2014: 190-198 - [c130]Islam Beltagy, Stephen Roller, Gemma Boleda, Katrin Erk, Raymond J. Mooney:
UTexas: Natural Language Semantics using Distributional Semantics and Probabilistic Logic. SemEval@COLING 2014: 796-801 - [i8]David L. Chen, Joohyun Kim, Raymond J. Mooney:
Training a Multilingual Sportscaster: Using Perceptual Context to Learn Language. CoRR abs/1405.7711 (2014) - [i7]Subhashini Venugopalan, Huijuan Xu, Jeff Donahue, Marcus Rohrbach, Raymond J. Mooney, Kate Saenko:
Translating Videos to Natural Language Using Deep Recurrent Neural Networks. CoRR abs/1412.4729 (2014) - 2013
- [c129]Niveda Krishnamoorthy, Girish Malkarnenkar, Raymond J. Mooney, Kate Saenko, Sergio Guadarrama:
Generating Natural-Language Video Descriptions Using Text-Mined Knowledge. AAAI 2013 - [c128]Sindhu Raghavan, Raymond J. Mooney:
Online Inference-Rule Learning from Natural-Language Extractions. AAAI Workshop: Statistical Relational Artificial Intelligence 2013 - [c127]Joohyun Kim, Raymond J. Mooney:
Adapting Discriminative Reranking to Grounded Language Learning. ACL (1) 2013: 218-227 - [c126]Shruti Bhosale, Heath Vinicombe, Raymond J. Mooney:
Detecting Promotional Content in Wikipedia. EMNLP 2013: 1851-1857 - [c125]Sergio Guadarrama, Niveda Krishnamoorthy, Girish Malkarnenkar, Subhashini Venugopalan, Raymond J. Mooney, Trevor Darrell, Kate Saenko:
YouTube2Text: Recognizing and Describing Arbitrary Activities Using Semantic Hierarchies and Zero-Shot Recognition. ICCV 2013: 2712-2719 - [c124]Ayan Acharya, Aditya Rawal, Raymond J. Mooney, Eduardo R. Hruschka:
Using Both Latent and Supervised Shared Topics for Multitask Learning. ECML/PKDD (2) 2013: 369-384 - [c123]Islam Beltagy, Cuong Chau, Gemma Boleda, Dan Garrette, Katrin Erk, Raymond J. Mooney:
Montague Meets Markov: Deep Semantics with Probabilistic Logical Form. *SEM@NAACL-HLT 2013: 11-21 - [i6]Yinon Bentor, Amelia Harrison, Shruti Bhosale, Raymond J. Mooney:
University of Texas at Austin KBP 2013 Slot Filling System: Bayesian Logic Programs for Textual Inference. TAC 2013 - 2012
- [c122]Sindhu Raghavan, Raymond J. Mooney, Hyeonseo Ku:
Learning to "Read Between the Lines" using Bayesian Logic Programs. ACL (1) 2012: 349-358 - [c121]Raymond J. Mooney:
Learning Language from Perceptual Context. EACL 2012: 602 - [c120]Tanvi S. Motwani, Raymond J. Mooney:
Improving Video Activity Recognition using Object Recognition and Text Mining. ECAI 2012: 600-605 - [c119]Joohyun Kim, Raymond J. Mooney:
Unsupervised PCFG Induction for Grounded Language Learning with Highly Ambiguous Supervision. EMNLP-CoNLL 2012: 433-444 - 2011
- [c118]David L. Chen, Raymond J. Mooney:
Learning to Interpret Natural Language Navigation Instructions from Observations. AAAI 2011 - [c117]Parag Singla, Raymond J. Mooney:
Abductive Markov Logic for Plan Recognition. AAAI 2011 - [c116]Joseph Reisinger, Raymond J. Mooney:
Cross-Cutting Models of Lexical Semantics. EMNLP 2011: 1405-1415 - [c115]James Blythe, Jerry R. Hobbs, Pedro M. Domingos, Rohit J. Kate, Raymond J. Mooney:
Implementing Weighted Abduction in Markov Logic. IWCS 2011 - [c114]Dan Garrette, Katrin Erk, Raymond J. Mooney:
Integrating Logical Representations with Probabilistic Information using Markov Logic. IWCS 2011 - [c113]David L. Chen, Raymond J. Mooney:
Panning for gold: finding relevant semantic content for grounded language learning. MLSLP 2011: 26-30 - [c112]Raymond J. Mooney:
Learning Language from Its Perceptual Context. PADL 2011: 2-4 - [c111]Tuyen N. Huynh, Raymond J. Mooney:
Online Structure Learning for Markov Logic Networks. ECML/PKDD (2) 2011: 81-96 - [c110]Sindhu Raghavan, Raymond J. Mooney:
Abductive Plan Recognition by Extending Bayesian Logic Programs. ECML/PKDD (2) 2011: 629-644 - [c109]Tuyen N. Huynh, Raymond J. Mooney:
Online Max-Margin Weight Learning for Markov Logic Networks. SDM 2011: 642-651 - [i5]Cynthia A. Thompson, Raymond J. Mooney:
Acquiring Word-Meaning Mappings for Natural Language Interfaces. CoRR abs/1106.4571 (2011) - 2010
- [j21]David L. Chen, Joohyun Kim, Raymond J. Mooney:
Training a Multilingual Sportscaster: Using Perceptual Context to Learn Language. J. Artif. Intell. Res. 37: 397-435 (2010) - [c108]Sonal Gupta, Raymond J. Mooney:
Using Closed Captions as Supervision for Video Activity Recognition. AAAI 2010 - [c107]Tuyen N. Huynh, Raymond J. Mooney:
Online Max-Margin Weight Learning with Markov Logic Networks. Statistical Relational Artificial Intelligence 2010 - [c106]Sindhu Raghavan, Raymond J. Mooney:
Bayesian Abductive Logic Programs. Statistical Relational Artificial Intelligence 2010 - [c105]Sindhu Raghavan, Adriana Kovashka, Raymond J. Mooney:
Authorship Attribution Using Probabilistic Context-Free Grammars. ACL (2) 2010: 38-42 - [c104]Joohyun Kim, Raymond J. Mooney:
Generative Alignment and Semantic Parsing for Learning from Ambiguous Supervision. COLING (Posters) 2010: 543-551 - [c103]Rohit J. Kate, Xiaoqiang Luo, Siddharth Patwardhan, Martin Franz, Radu Florian, Raymond J. Mooney, Salim Roukos, Chris Welty:
Learning to Predict Readability using Diverse Linguistic Features. COLING 2010: 546-554 - [c102]Rohit J. Kate, Raymond J. Mooney:
Joint Entity and Relation Extraction Using Card-Pyramid Parsing. CoNLL 2010: 203-212 - [c101]Joseph Reisinger, Raymond J. Mooney:
A Mixture Model with Sharing for Lexical Semantics. EMNLP 2010: 1173-1182 - [c100]Joseph Reisinger, Austin Waters, Bryan Silverthorn, Raymond J. Mooney:
Spherical Topic Models. ICML 2010: 903-910 - [c99]Joseph Reisinger, Raymond J. Mooney:
Multi-Prototype Vector-Space Models of Word Meaning. HLT-NAACL 2010: 109-117
2000 – 2009
- 2009
- [j20]Brian Kulis, Sugato Basu, Inderjit S. Dhillon, Raymond J. Mooney:
Semi-supervised graph clustering: a kernel approach. Mach. Learn. 74(1): 1-22 (2009) - [c98]Ruifang Ge, Raymond J. Mooney:
Learning a Compositional Semantic Parser using an Existing Syntactic Parser. ACL/IJCNLP 2009: 611-619 - [c97]Sonal Gupta, Raymond J. Mooney:
Using closed captions to train activity recognizers that improve video retrieval. CVPR Workshops 2009: 30-37 - [c96]Lilyana Mihalkova, Raymond J. Mooney:
Transfer Learning from Minimal Target Data by Mapping across Relational Domains. IJCAI 2009: 1163-1168 - [c95]Lilyana Mihalkova, Raymond J. Mooney:
Learning to Disambiguate Search Queries from Short Sessions. ECML/PKDD (2) 2009: 111-127 - [c94]Tuyen N. Huynh, Raymond J. Mooney:
Max-Margin Weight Learning for Markov Logic Networks. ECML/PKDD (1) 2009: 564-579 - 2008
- [c93]Raymond J. Mooney:
Learning to Connect Language and Perception. AAAI 2008: 1598-1601 - [c92]David L. Chen, Raymond J. Mooney:
Learning to sportscast: a test of grounded language acquisition. ICML 2008: 128-135 - [c91]Tuyen N. Huynh, Raymond J. Mooney:
Discriminative structure and parameter learning for Markov logic networks. ICML 2008: 416-423 - [c90]Raymond J. Mooney:
Learning Language from Its Perceptual Context. ECML/PKDD (1) 2008: 5 - [c89]Sonal Gupta, Joohyun Kim, Kristen Grauman, Raymond J. Mooney:
Watch, Listen & Learn: Co-training on Captioned Images and Videos. ECML/PKDD (1) 2008: 457-472 - [c88]Raymond J. Mooney:
Transfer Learning by Mapping and Revising Relational Knowledge. SBIA 2008: 2-3 - [c87]Raymond J. Mooney:
Text Mining. SBIA 2008: 6 - 2007
- [c86]Lilyana Mihalkova, Tuyen N. Huynh, Raymond J. Mooney:
Mapping and Revising Markov Logic Networks for Transfer Learning. AAAI 2007: 608-614 - [c85]Rohit J. Kate, Raymond J. Mooney:
Learning Language Semantics from Ambiguous Supervision. AAAI 2007: 895-900 - [c84]Razvan C. Bunescu, Raymond J. Mooney:
Learning to Extract Relations from the Web using Minimal Supervision. ACL 2007 - [c83]