Richard Socher

233 papers A* 42A 4B 2Misc 2Journal 120Unranked 61

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Reference-Free Rating of LLM Responses via Latent Information. CoRR Leander Girrbach, Chi-Ping Su, Tankred Saanum, Richard Socher, Eric Schulz, Zeynep Akata
2024	J	`jnl`	Large Language Models: A Survey. CoRR Shervin Minaee, Tomás Mikolov, Narjes Nikzad, Meysam Chenaghlu, Richard Socher, Xavier Amatriain, Jianfeng Gao
2023	J	`jnl`	Author Correction: Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials. npj Digit. Medicine Andre Esteva, Jean Feng, Douwe van der Wal, Shih-Cheng Huang, Jeffry P. Simko, Sandy Devries, Emmalyn Chen, Edward M. Schaeffer, Todd M. Morgan, Yilun Sun, Amirata Ghorbani, Nikhil Naik, Dhruv Nathawani, Richard Socher, Jeff M. Michalski, Mack Roach, Thomas M. Pisansky, Jedidiah M. Monson, Farah Naz, James Wallace, Michelle J. Ferguson, Jean-Paul Bahary, James Zou, Matthew P. Lungren, Serena Yeung, Ashley E. Ross, Michael J. Kucharczyk, Luis Souhami, Leslie Ballas, Christopher A. Peters, Sandy Liu, Alexander G. Balogh, Pamela D. Randolph-Jackson, David L. Schwartz, Michael R. Girvigian, Naoyuki G. Saito, Adam Raben, Rachel A. Rabinovitch, Khalil Katato, Howard M. Sandler, Phuoc T. Tran, Daniel E. Spratt, Stephanie Pugh, Felix Y. Feng, Osama Mohamad
2022	J	`jnl`	Converse: A Tree-Based Modular Task-Oriented Dialogue System. CoRR Tian Xie, Xinyi Yang, Angela S. Lin, Feihong Wu, Kazuma Hashimoto, Jin Qu, Young Mo Kang, Wenpeng Yin, Huan Wang, Semih Yavuz, Gang Wu, Michael Jones, Richard Socher, Yingbo Zhou, Wenhao Liu, Caiming Xiong
2022	J	`jnl`	Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials. npj Digit. Medicine Andre Esteva, Jean Feng, Douwe van der Wal, Shih-Cheng Huang, Jeffry P. Simko, Sandy Devries, Emmalyn Chen, Edward M. Schaeffer, Todd M. Morgan, Yilun Sun, Amirata Ghorbani, Nikhil Naik, Dhruv Nathawani, Richard Socher, Jeff M. Michalski, Mack Roach, Thomas M. Pisansky, Jedidiah M. Monson, Farah Naz, James Wallace, Michelle J. Ferguson, Jean-Paul Bahary, James Zou, Matthew P. Lungren, Serena Yeung, Ashley E. Ross, Michael J. Kucharczyk, Luis Souhami, Leslie Ballas, Christopher A. Peters, Sandy Liu, Alexander G. Balogh, Pamela D. Randolph-Jackson, David L. Schwartz, Michael R. Girvigian, Naoyuki G. Saito, Adam Raben, Rachel A. Rabinovitch, Khalil Katato, Howard M. Sandler, Phuoc T. Tran, Daniel E. Spratt, Stephanie Pugh, Felix Y. Feng, Osama Mohamad
2021	A*	`conf`	BERTology Meets Biology: Interpreting Attention in Protein Language Models. ICLR Jesse Vig, Ali Madani, Lav R. Varshney, Caiming Xiong, Richard Socher, Nazneen Fatema Rajani
2021	J	`jnl`	Biological data annotation via a human-augmenting AI-based labeling system. npj Digit. Medicine Douwe van der Wal, Iny Jhun, Israa Laklouk, Jeffrey J. Nirschl, Lara Richer, Rebecca Rojansky, Talent Theparee, Joshua Wheeler, Jörg Sander, Felix Y. Feng, Osama Mohamad, Silvio Savarese, Richard Socher, Andre Esteva
2021	J	`jnl`	COVID-19 information retrieval with deep-learning based semantic search, question answering, and abstractive summarization. npj Digit. Medicine Andre Esteva, Anuprit Kale, Romain Paulus, Kazuma Hashimoto, Wenpeng Yin, Dragomir Radev, Richard Socher
2021	A*	`conf`	Catastrophic Fisher Explosion: Early Phase Fisher Matrix Impacts Generalization. ICML Stanislaw Jastrzebski, Devansh Arpit, Oliver Åstrand, Giancarlo Kerg, Huan Wang, Caiming Xiong, Richard Socher, Kyunghyun Cho, Krzysztof J. Geras
2021	—	`conf`	DART: Open-Domain Structured Data Record to Text Generation. NAACL-HLT Linyong Nan, Dragomir R. Radev, Rui Zhang, Amrit Rau, Abhinand Sivaprasad, Chiachun Hsieh, Xiangru Tang, Aadit Vyas, Neha Verma, Pranav Krishna, Yangxiaokang Liu, Nadia Irwanto, Jessica Pan, Faiaz Rahman, Ahmad Zaidi, Mutethia Mutuma, Yasin Tarabar, Ankit Gupta, Tao Yu, Yi Chern Tan, Xi Victoria Lin, Caiming Xiong, Richard Socher, Nazneen Fatema Rajani
2021	J	`jnl`	Deep learning-enabled medical computer vision. npj Digit. Medicine Andre Esteva, Katherine Chou, Serena Yeung, Nikhil Naik, Ali Madani, Ali Mottaghi, Yun Liu, Eric J. Topol, Jeff Dean, Richard Socher
2021	A*	`conf`	Evaluating State-of-the-Art Classification Models Against Bayes Optimality. NeurIPS Ryan Theisen, Huan Wang, Lav R. Varshney, Caiming Xiong, Richard Socher
2021	J	`jnl`	Evaluating State-of-the-Art Classification Models Against Bayes Optimality. CoRR Ryan Theisen, Huan Wang, Lav R. Varshney, Caiming Xiong, Richard Socher
2021	—	`conf`	GeDi: Generative Discriminator Guided Sequence Generation. EMNLP (Findings) Ben Krause, Akhilesh Deepak Gotmare, Bryan McCann, Nitish Shirish Keskar, Shafiq R. Joty, Richard Socher, Nazneen Fatema Rajani
2021	A*	`conf`	GraPPa: Grammar-Augmented Pre-Training for Table Semantic Parsing. ICLR Tao Yu, Chien-Sheng Wu, Xi Victoria Lin, Bailin Wang, Yi Chern Tan, Xinyi Yang, Dragomir R. Radev, Richard Socher, Caiming Xiong
2021	J	`jnl`	SummEval: Re-evaluating Summarization Evaluation. Trans. Assoc. Comput. Linguistics Alexander R. Fabbri, Wojciech Kryscinski, Bryan McCann, Caiming Xiong, Richard Socher, Dragomir R. Radev
2021	J	`jnl`	The AI Economist: Optimal Economic Policy Design via Two-level Deep Reinforcement Learning. CoRR Stephan Zheng, Alexander Trott, Sunil Srinivasa, David C. Parkes, Richard Socher
2021	A*	`conf`	WOAD: Weakly Supervised Online Action Detection in Untrimmed Videos. CVPR Mingfei Gao, Yingbo Zhou, Ran Xu, Richard Socher, Caiming Xiong
2020	J	`jnl`	A High-Quality Multilingual Dataset for Structured Documentation Translation. CoRR Kazuma Hashimoto, Raffaella Buschiazzo, James Bradbury, Teresa Marshall, Richard Socher, Caiming Xiong
2020	A*	`conf`	A Simple Language Model for Task-Oriented Dialogue. NeurIPS Ehsan Hosseini-Asl, Bryan McCann, Chien-Sheng Wu, Semih Yavuz, Richard Socher
2020	J	`jnl`	A Simple Language Model for Task-Oriented Dialogue. CoRR Ehsan Hosseini-Asl, Bryan McCann, Chien-Sheng Wu, Semih Yavuz, Richard Socher
2020	A	`conf`	An Investigation of Phone-Based Subword Units for End-to-End Speech Recognition. INTERSPEECH Weiran Wang, Guangsen Wang, Aadyot Bhatnagar, Yingbo Zhou, Caiming Xiong, Richard Socher
2020	A	`conf`	Assessing Local Generalization Capability in Deep Models. AISTATS Huan Wang, Nitish Shirish Keskar, Caiming Xiong, Richard Socher
2020	J	`jnl`	BERTology Meets Biology: Interpreting Attention in Protein Language Models. CoRR Jesse Vig, Ali Madani, Lav R. Varshney, Caiming Xiong, Richard Socher, Nazneen Fatema Rajani
2020	—	`conf`	Bridging Textual and Tabular Data for Cross-Domain Text-to-SQL Semantic Parsing. EMNLP (Findings) Xi Victoria Lin, Richard Socher, Caiming Xiong
2020	J	`jnl`	Bridging Textual and Tabular Data for Cross-Domain Text-to-SQL Semantic Parsing. CoRR Xi Victoria Lin, Richard Socher, Caiming Xiong
2020	J	`jnl`	CO-Search: COVID-19 Information Retrieval with Semantic Search, Question Answering, and Abstractive Summarization. CoRR Andre Esteva, Anuprit Kale, Romain Paulus, Kazuma Hashimoto, Wenpeng Yin, Dragomir R. Radev, Richard Socher
2020	J	`jnl`	Catastrophic Fisher Explosion: Early Phase Fisher Matrix Impacts Generalization. CoRR Stanislaw Jastrzebski, Devansh Arpit, Oliver Åstrand, Giancarlo Kerg, Huan Wang, Caiming Xiong, Richard Socher, Kyunghyun Cho, Krzysztof J. Geras
2020	J	`jnl`	Central Yup'ik and Machine Translation of Low-Resource Polysynthetic Languages. CoRR Christopher Liu, Laura Dominé, Kevin Chavez, Richard Socher
2020	—	`conf`	Composed Variational Natural Language Generation for Few-shot Intents. EMNLP (Findings) Congying Xia, Caiming Xiong, Philip S. Yu, Richard Socher
2020	J	`jnl`	Composed Variational Natural Language Generation for Few-shot Intents. CoRR Congying Xia, Caiming Xiong, Philip S. Yu, Richard Socher
2020	J	`jnl`	DART: Open-Domain Structured Data Record to Text Generation. CoRR Dragomir R. Radev, Rui Zhang, Amrit Rau, Abhinand Sivaprasad, Chiachun Hsieh, Nazneen Fatema Rajani, Xiangru Tang, Aadit Vyas, Neha Verma, Pranav Krishna, Yangxiaokang Liu, Nadia Irwanto, Jessica Pan, Faiaz Rahman, Ahmad Zaidi, Murori Mutuma, Yasin Tarabar, Ankit Gupta, Tao Yu, Yi Chern Tan, Xi Victoria Lin, Caiming Xiong, Richard Socher
2020	—	`conf`	Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language Inference. EMNLP (1) Jian-Guo Zhang, Kazuma Hashimoto, Wenhao Liu, Chien-Sheng Wu, Yao Wan, Philip S. Yu, Richard Socher, Caiming Xiong
2020	J	`jnl`	Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language Inference. CoRR Jian-Guo Zhang, Kazuma Hashimoto, Wenhao Liu, Chien-Sheng Wu, Yao Wan, Philip S. Yu, Richard Socher, Caiming Xiong
2020	A*	`conf`	DivideMix: Learning with Noisy Labels as Semi-supervised Learning. ICLR Junnan Li, Richard Socher, Steven C. H. Hoi
2020	J	`jnl`	DivideMix: Learning with Noisy Labels as Semi-supervised Learning. CoRR Junnan Li, Richard Socher, Steven C. H. Hoi
2020	J	`jnl`	EMT: Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading. CoRR Yifan Gao, Chien-Sheng Wu, Shafiq R. Joty, Caiming Xiong, Richard Socher, Irwin King, Michael R. Lyu, Steven C. H. Hoi
2020	A*	`conf`	ERASER: A Benchmark to Evaluate Rationalized NLP Models. ACL Jay DeYoung, Sarthak Jain, Nazneen Fatema Rajani, Eric Lehman, Caiming Xiong, Richard Socher, Byron C. Wallace
2020	A*	`conf`	ESPRIT: Explaining Solutions to Physical Reasoning Tasks. ACL Nazneen Fatema Rajani, Rui Zhang, Yi Chern Tan, Stephan Zheng, Jeremy Weiss, Aadit Vyas, Abhijit Gupta, Caiming Xiong, Richard Socher, Dragomir R. Radev
2020	J	`jnl`	ESPRIT: Explaining Solutions to Physical Reasoning Tasks. CoRR Nazneen Fatema Rajani, Rui Zhang, Yi Chern Tan, Stephan Zheng, Jeremy Weiss, Aadit Vyas, Abhijit Gupta, Caiming Xiong, Richard Socher, Dragomir R. Radev
2020	—	`conf`	Evaluating the Factual Consistency of Abstractive Text Summarization. EMNLP (1) Wojciech Kryscinski, Bryan McCann, Caiming Xiong, Richard Socher
2020	J	`jnl`	Explaining Creative Artifacts. CoRR Lav R. Varshney, Nazneen Fatema Rajani, Richard Socher
2020	J	`jnl`	Explaining and Improving Model Behavior with k Nearest Neighbor Representations. CoRR Nazneen Fatema Rajani, Ben Krause, Wenpeng Yin, Tong Niu, Richard Socher, Caiming Xiong
2020	A*	`conf`	Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading. ACL Yifan Gao, Chien-Sheng Wu, Shafiq R. Joty, Caiming Xiong, Richard Socher, Irwin King, Michael R. Lyu, Steven C. H. Hoi
2020	A*	`conf`	Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills. ICML Victor Campos, Alexander Trott, Caiming Xiong, Richard Socher, Xavier Giró-i-Nieto, Jordi Torres
2020	J	`jnl`	Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills. CoRR Víctor Campos, Alexander Trott, Caiming Xiong, Richard Socher, Xavier Giró-i-Nieto, Jordi Torres
2020	—	`conf`	Find or Classify? Dual Strategy for Slot-Value Predictions on Multi-Domain Dialog State Tracking. *SEM@COLING Jian-Guo Zhang, Kazuma Hashimoto, Chien-Sheng Wu, Yao Wan, Philip S. Yu, Richard Socher, Caiming Xiong
2020	J	`jnl`	GeDi: Generative Discriminator Guided Sequence Generation. CoRR Ben Krause, Akhilesh Deepak Gotmare, Bryan McCann, Nitish Shirish Keskar, Shafiq R. Joty, Richard Socher, Nazneen Fatema Rajani
2020	J	`jnl`	GraPPa: Grammar-Augmented Pre-Training for Table Semantic Parsing. CoRR Tao Yu, Chien-Sheng Wu, Xi Victoria Lin, Bailin Wang, Yi Chern Tan, Xinyi Yang, Dragomir R. Radev, Richard Socher, Caiming Xiong
2020	J	`jnl`	Improving out-of-distribution generalization via multi-task self-supervised pretraining. CoRR Isabela Albuquerque, Nikhil Naik, Junnan Li, Nitish Shirish Keskar, Richard Socher
2020	A*	`conf`	It's Morphin' Time! Combating Linguistic Discrimination with Inflectional Perturbations. ACL Samson Tan, Shafiq R. Joty, Min-Yen Kan, Richard Socher
2020	J	`jnl`	It's Morphin' Time! Combating Linguistic Discrimination with Inflectional Perturbations. CoRR Samson Tan, Shafiq R. Joty, Min-Yen Kan, Richard Socher
2020	A*	`conf`	Learning From Noisy Anchors for One-Stage Object Detection. CVPR Hengduo Li, Zuxuan Wu, Chen Zhu, Caiming Xiong, Richard Socher, Larry S. Davis
2020	A*	`conf`	Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering. ICLR Akari Asai, Kazuma Hashimoto, Hannaneh Hajishirzi, Richard Socher, Caiming Xiong
2020	Misc	`conf`	Limits of Detecting Text Generated by Large-Scale Language Models. ITA Lav R. Varshney, Nitish Shirish Keskar, Richard Socher
2020	J	`jnl`	Limits of Detecting Text Generated by Large-Scale Language Models. CoRR Lav R. Varshney, Nitish Shirish Keskar, Richard Socher
2020	J	`jnl`	Neural Bayes: A Generic Parameterization Method for Unsupervised Representation Learning. CoRR Devansh Arpit, Huan Wang, Caiming Xiong, Richard Socher, Yoshua Bengio
2020	A*	`conf`	Non-Autoregressive Dialog State Tracking. ICLR Hung Le, Richard Socher, Steven C. H. Hoi
2020	J	`jnl`	Non-Autoregressive Dialog State Tracking. CoRR Hung Le, Richard Socher, Steven C. H. Hoi
2020	A*	`conf`	Online Structured Meta-learning. NeurIPS Huaxiu Yao, Yingbo Zhou, Mehrdad Mahdavi, Zhenhui Li, Richard Socher, Caiming Xiong
2020	J	`jnl`	Online Structured Meta-learning. CoRR Huaxiu Yao, Yingbo Zhou, Mehrdad Mahdavi, Zhenhui Li, Richard Socher, Caiming Xiong
2020	—	`conf`	Photon: A Robust Cross-Domain Text-to-SQL System. ACL (demo) Jichuan Zeng, Xi Victoria Lin, Steven C. H. Hoi, Richard Socher, Caiming Xiong, Michael R. Lyu, Irwin King
2020	J	`jnl`	Photon: A Robust Cross-Domain Text-to-SQL System. CoRR Jichuan Zeng, Xi Victoria Lin, Caiming Xiong, Richard Socher, Michael R. Lyu, Irwin King, Steven C. H. Hoi
2020	J	`jnl`	ProGen: Language Modeling for Protein Generation. CoRR Ali Madani, Bryan McCann, Nikhil Naik, Nitish Shirish Keskar, Namrata Anand, Raphael R. Eguchi, Po-Ssu Huang, Richard Socher
2020	J	`jnl`	Prototypical Contrastive Learning of Unsupervised Representations. CoRR Junnan Li, Pan Zhou, Caiming Xiong, Richard Socher, Steven C. H. Hoi
2020	—	`conf`	Simple Data Augmentation with the Mask Token Improves Domain Adaptation for Dialog Act Tagging. EMNLP (1) Semih Yavuz, Kazuma Hashimoto, Wenhao Liu, Nitish Shirish Keskar, Richard Socher, Caiming Xiong
2020	J	`jnl`	SummEval: Re-evaluating Summarization Evaluation. CoRR Alexander R. Fabbri, Wojciech Kryscinski, Bryan McCann, Caiming Xiong, Richard Socher, Dragomir R. Radev
2020	—	`conf`	TOD-BERT: Pre-trained Natural Language Understanding for Task-Oriented Dialogue. EMNLP (1) Chien-Sheng Wu, Steven C. H. Hoi, Richard Socher, Caiming Xiong
2020	J	`jnl`	Taylorized Training: Towards Better Approximation of Neural Network Training at Finite Width. CoRR Yu Bai, Ben Krause, Huan Wang, Caiming Xiong, Richard Socher
2020	J	`jnl`	The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies. CoRR Stephan Zheng, Alexander Trott, Sunil Srinivasa, Nikhil Naik, Melvin Gruesbeck, David C. Parkes, Richard Socher
2020	—	`conf`	The Thieves on Sesame Street are Polyglots - Extracting Multilingual Models from Monolingual APIs. EMNLP (1) Nitish Shirish Keskar, Bryan McCann, Caiming Xiong, Richard Socher
2020	A*	`conf`	Theory-Inspired Path-Regularized Differential Network Architecture Search. NeurIPS Pan Zhou, Caiming Xiong, Richard Socher, Steven Chu-Hong Hoi
2020	J	`jnl`	Theory-Inspired Path-Regularized Differential Network Architecture Search. CoRR Pan Zhou, Caiming Xiong, Richard Socher, Steven C. H. Hoi
2020	J	`jnl`	ToD-BERT: Pre-trained Natural Language Understanding for Task-Oriented Dialogues. CoRR Chien-Sheng Wu, Steven C. H. Hoi, Richard Socher, Caiming Xiong
2020	J	`jnl`	Towards Noise-resistant Object Detection with Noisy Annotations. CoRR Junnan Li, Caiming Xiong, Richard Socher, Steven C. H. Hoi
2020	A*	`conf`	Towards Understanding Hierarchical Learning: Benefits of Neural Representations. NeurIPS Minshuo Chen, Yu Bai, Jason D. Lee, Tuo Zhao, Huan Wang, Caiming Xiong, Richard Socher
2020	J	`jnl`	Towards Understanding Hierarchical Learning: Benefits of Neural Representations. CoRR Minshuo Chen, Yu Bai, Jason D. Lee, Tuo Zhao, Huan Wang, Caiming Xiong, Richard Socher
2020	A*	`conf`	Tree-Structured Attention with Hierarchical Accumulation. ICLR Xuan-Phi Nguyen, Shafiq R. Joty, Steven C. H. Hoi, Richard Socher
2020	J	`jnl`	Tree-structured Attention with Hierarchical Accumulation. CoRR Xuan-Phi Nguyen, Shafiq R. Joty, Steven C. H. Hoi, Richard Socher
2020	—	`conf`	Universal Natural Language Processing with Limited Annotations: Try Few-shot Textual Entailment as a Start. EMNLP (1) Wenpeng Yin, Nazneen Fatema Rajani, Dragomir R. Radev, Richard Socher, Caiming Xiong
2020	J	`jnl`	Universal Natural Language Processing with Limited Annotations: Try Few-shot Textual Entailment as a Start. CoRR Wenpeng Yin, Nazneen Fatema Rajani, Dragomir R. Radev, Richard Socher, Caiming Xiong
2020	J	`jnl`	WOAD: Weakly Supervised Online Action Detection in Untrimmed Videos. CoRR Mingfei Gao, Yingbo Zhou, Ran Xu, Richard Socher, Caiming Xiong
2019	—	`conf`	A Closer Look at Deep Learning Heuristics: Learning rate restarts, Warmup and Distillation. ICLR (Poster) Akhilesh Gotmare, Nitish Shirish Keskar, Caiming Xiong, Richard Socher
2019	—	`conf`	A High-Quality Multilingual Dataset for Structured Documentation Translation. WMT (1) Kazuma Hashimoto, Raffaella Buschiazzo, James Bradbury, Teresa Marshall, Richard Socher, Caiming Xiong
2019	A*	`conf`	AdaFrame: Adaptive Frame Selection for Fast Video Recognition. CVPR Zuxuan Wu, Caiming Xiong, Chih-Yao Ma, Richard Socher, Larry S. Davis
2019	J	`jnl`	Attentive Student Meets Multi-Task Teacher: Improved Knowledge Distillation for Pretrained Models. CoRR Linqing Liu, Huan Wang, Jimmy Lin, Richard Socher, Caiming Xiong
2019	—	`conf`	Augmented Cyclic Adversarial Learning for Low Resource Domain Adaptation. ICLR (Poster) Ehsan Hosseini-Asl, Yingbo Zhou, Caiming Xiong, Richard Socher
2019	—	`conf`	BERT is Not an Interlingua and the Bias of Tokenization. DeepLo@EMNLP-IJCNLP Jasdeep Singh, Bryan McCann, Richard Socher, Caiming Xiong
2019	J	`jnl`	CTRL: A Conditional Transformer Language Model for Controllable Generation. CoRR Nitish Shirish Keskar, Bryan McCann, Lav R. Varshney, Caiming Xiong, Richard Socher
2019	—	`conf`	CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases. EMNLP/IJCNLP (1) Tao Yu, Rui Zhang, Heyang Er, Suyi Li, Eric Xue, Bo Pang, Xi Victoria Lin, Yi Chern Tan, Tianze Shi, Zihan Li, Youxuan Jiang, Michihiro Yasunaga, Sungrok Shim, Tao Chen, Alexander R. Fabbri, Zifan Li, Luyao Chen, Yuwen Zhang, Shreya Dixit, Vincent Zhang, Caiming Xiong, Richard Socher, Walter S. Lasecki, Dragomir R. Radev
2019	J	`jnl`	CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases. CoRR Tao Yu, Rui Zhang, Heyang Er, Suyi Li, Eric Xue, Bo Pang, Xi Victoria Lin, Yi Chern Tan, Tianze Shi, Zihan Li, Youxuan Jiang, Michihiro Yasunaga, Sungrok Shim, Tao Chen, Alexander R. Fabbri, Zifan Li, Luyao Chen, Yuwen Zhang, Shreya Dixit, Vincent Zhang, Caiming Xiong, Richard Socher, Walter S. Lasecki, Dragomir R. Radev
2019	—	`conf`	Coarse-grain Fine-grain Coattention Network for Multi-evidence Question Answering. ICLR (Poster) Victor Zhong, Caiming Xiong, Nitish Shirish Keskar, Richard Socher
2019	J	`jnl`	Coarse-grain Fine-grain Coattention Network for Multi-evidence Question Answering. CoRR Victor Zhong, Caiming Xiong, Nitish Shirish Keskar, Richard Socher
2019	J	`jnl`	Competitive Experience Replay. CoRR Hao Liu, Alexander Trott, Richard Socher, Caiming Xiong
2019	—	`conf`	Competitive experience replay. ICLR (Poster) Hao Liu, Alexander Trott, Richard Socher, Caiming Xiong
2019	J	`jnl`	Deleter: Leveraging BERT to Perform Unsupervised Successive Text Compression. CoRR Tong Niu, Caiming Xiong, Richard Socher
2019	J	`jnl`	ERASER: A Benchmark to Evaluate Rationalized NLP Models. CoRR Jay DeYoung, Sarthak Jain, Nazneen Fatema Rajani, Eric Lehman, Caiming Xiong, Richard Socher, Byron C. Wallace
2019	—	`conf`	Editing-Based SQL Query Generation for Cross-Domain Context-Dependent Questions. EMNLP/IJCNLP (1) Rui Zhang, Tao Yu, Heyang Er, Sungrok Shim, Eric Xue, Xi Victoria Lin, Tianze Shi, Caiming Xiong, Richard Socher, Dragomir R. Radev
2019	J	`jnl`	Editing-Based SQL Query Generation for Cross-Domain Context-Dependent Questions. CoRR Rui Zhang, Tao Yu, Heyang Er, Sungrok Shim, Eric Xue, Xi Victoria Lin, Tianze Shi, Caiming Xiong, Richard Socher, Dragomir R. Radev
2019	J	`jnl`	Entropy Penalty: Towards Generalization Beyond the IID Assumption. CoRR Devansh Arpit, Caiming Xiong, Richard Socher
2019	J	`jnl`	Evaluating the Factual Consistency of Abstractive Text Summarization. CoRR Wojciech Kryscinski, Bryan McCann, Caiming Xiong, Richard Socher
2019	—	`conf`	Explain Yourself! Leveraging Language Models for Commonsense Reasoning. ACL (1) Nazneen Fatema Rajani, Bryan McCann, Caiming Xiong, Richard Socher
2019	J	`jnl`	Explain Yourself! Leveraging Language Models for Commonsense Reasoning. CoRR Nazneen Fatema Rajani, Bryan McCann, Caiming Xiong, Richard Socher
2019	J	`jnl`	Find or Classify? Dual Strategy for Slot-Value Predictions on Multi-Domain Dialog State Tracking. CoRR Jianguo Zhang, Kazuma Hashimoto, Chien-Sheng Wu, Yao Wan, Philip S. Yu, Richard Socher, Caiming Xiong
2019	J	`jnl`	Genie: A Generator of Natural Language Semantic Parsers for Virtual Assistant Commands. CoRR Giovanni Campagna, Silei Xu, Mehrad Moradshahi, Richard Socher, Monica S. Lam
2019	A*	`conf`	Genie: a generator of natural language semantic parsers for virtual assistant commands. PLDI Giovanni Campagna, Silei Xu, Mehrad Moradshahi, Richard Socher, Monica S. Lam
2019	J	`jnl`	Global Capacity Measures for Deep ReLU Networks via Path Sampling. CoRR Ryan Theisen, Jason M. Klusowski, Huan Wang, Nitish Shirish Keskar, Caiming Xiong, Richard Socher
2019	—	`conf`	Global-to-local Memory Pointer Networks for Task-Oriented Dialogue. ICLR (Poster) Chien-Sheng Wu, Richard Socher, Caiming Xiong
2019	J	`jnl`	Global-to-local Memory Pointer Networks for Task-Oriented Dialogue. CoRR Chien-Sheng Wu, Richard Socher, Caiming Xiong
2019	A*	`conf`	Keeping Your Distance: Solving Sparse Reward Tasks Using Self-Balancing Shaped Rewards. NeurIPS Alexander Trott, Stephan Zheng, Caiming Xiong, Richard Socher
2019	J	`jnl`	Keeping Your Distance: Solving Sparse Reward Tasks Using Self-Balancing Shaped Rewards. CoRR Alexander Trott, Stephan Zheng, Caiming Xiong, Richard Socher
2019	A*	`conf`	Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting. ICML Xilai Li, Yingbo Zhou, Tianfu Wu, Richard Socher, Caiming Xiong
2019	J	`jnl`	Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting. CoRR Xilai Li, Yingbo Zhou, Tianfu Wu, Richard Socher, Caiming Xiong
2019	J	`jnl`	Learning World Graphs to Accelerate Hierarchical Reinforcement Learning. CoRR Wenling Shang, Alexander Trott, Stephan Zheng, Caiming Xiong, Richard Socher
2019	J	`jnl`	Learning from Noisy Anchors for One-stage Object Detection. CoRR Hengduo Li, Zuxuan Wu, Chen Zhu, Caiming Xiong, Richard Socher, Larry S. Davis
2019	J	`jnl`	Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering. CoRR Akari Asai, Kazuma Hashimoto, Hannaneh Hajishirzi, Richard Socher, Caiming Xiong
2019	—	`conf`	Neural Text Summarization: A Critical Evaluation. EMNLP/IJCNLP (1) Wojciech Kryscinski, Nitish Shirish Keskar, Bryan McCann, Caiming Xiong, Richard Socher
2019	J	`jnl`	Neural Text Summarization: A Critical Evaluation. CoRR Wojciech Kryscinski, Nitish Shirish Keskar, Bryan McCann, Caiming Xiong, Richard Socher
2019	A*	`conf`	On the Generalization Gap in Reparameterizable Reinforcement Learning. ICML Huan Wang, Stephan Zheng, Caiming Xiong, Richard Socher
2019	J	`jnl`	On the Generalization Gap in Reparameterizable Reinforcement Learning. CoRR Huan Wang, Stephan Zheng, Caiming Xiong, Richard Socher
2019	J	`jnl`	Pretrained AI Models: Performativity, Mobility, and Change. CoRR Lav R. Varshney, Nitish Shirish Keskar, Richard Socher
2019	—	`conf`	SParC: Cross-Domain Semantic Parsing in Context. ACL (1) Tao Yu, Rui Zhang, Michihiro Yasunaga, Yi Chern Tan, Xi Victoria Lin, Suyi Li, Heyang Er, Irene Li, Bo Pang, Tao Chen, Emily Ji, Shreya Dixit, David Proctor, Sungrok Shim, Jonathan Kraft, Vincent Zhang, Caiming Xiong, Richard Socher, Dragomir R. Radev
2019	J	`jnl`	SParC: Cross-Domain Semantic Parsing in Context. CoRR Tao Yu, Rui Zhang, Michihiro Yasunaga, Yi Chern Tan, Xi Victoria Lin, Suyi Li, Heyang Er, Irene Li, Bo Pang, Tao Chen, Emily Ji, Shreya Dixit, David Proctor, Sungrok Shim, Jonathan Kraft, Vincent Zhang, Caiming Xiong, Richard Socher, Dragomir R. Radev
2019	—	`conf`	Self-Monitoring Navigation Agent via Auxiliary Progress Estimation. ICLR (Poster) Chih-Yao Ma, Jiasen Lu, Zuxuan Wu, Ghassan AlRegib, Zsolt Kira, Richard Socher, Caiming Xiong
2019	J	`jnl`	Self-Monitoring Navigation Agent via Auxiliary Progress Estimation. CoRR Chih-Yao Ma, Jiasen Lu, Zuxuan Wu, Ghassan AlRegib, Zsolt Kira, Richard Socher, Caiming Xiong
2019	J	`jnl`	Sketch-Fill-A-R: A Persona-Grounded Chit-Chat Generation Framework. CoRR Michael Shum, Stephan Zheng, Wojciech Kryscinski, Caiming Xiong, Richard Socher
2019	A*	`conf`	StartNet: Online Detection of Action Start in Untrimmed Videos. ICCV Mingfei Gao, Mingze Xu, Larry Davis, Richard Socher, Caiming Xiong
2019	J	`jnl`	StartNet: Online Detection of Action Start in Untrimmed Videos. CoRR Mingfei Gao, Mingze Xu, Larry S. Davis, Richard Socher, Caiming Xiong
2019	A*	`conf`	Taming MAML: Efficient unbiased meta-reinforcement learning. ICML Hao Liu, Richard Socher, Caiming Xiong
2019	—	`conf`	Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems. ACL (1) Chien-Sheng Wu, Andrea Madotto, Ehsan Hosseini-Asl, Caiming Xiong, Richard Socher, Pascale Fung
2019	J	`jnl`	Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems. CoRR Chien-Sheng Wu, Andrea Madotto, Ehsan Hosseini-Asl, Caiming Xiong, Richard Socher, Pascale Fung
2019	J	`jnl`	Unifying Question Answering and Text Classification via Span Extraction. CoRR Nitish Shirish Keskar, Bryan McCann, Caiming Xiong, Richard Socher
2019	—	`conf`	WSLLN: Weakly Supervised Natural Language Localization Networks. EMNLP/IJCNLP (1) Mingfei Gao, Larry Davis, Richard Socher, Caiming Xiong
2019	J	`jnl`	WSLLN: Weakly Supervised Natural Language Localization Networks. CoRR Mingfei Gao, Larry S. Davis, Richard Socher, Caiming Xiong
2019	J	`jnl`	XLDA: Cross-Lingual Data Augmentation for Natural Language Inference and Question Answering. CoRR Jasdeep Singh, Bryan McCann, Nitish Shirish Keskar, Caiming Xiong, Richard Socher
2018	J	`jnl`	A Closer Look at Deep Learning Heuristics: Learning rate restarts, Warmup and Distillation. CoRR Akhilesh Gotmare, Nitish Shirish Keskar, Caiming Xiong, Richard Socher
2018	—	`conf`	A Deep Reinforced Model for Abstractive Summarization. ICLR (Poster) Romain Paulus, Caiming Xiong, Richard Socher
2018	—	`conf`	A Flexible Approach to Automated RNN Architecture Generation. ICLR (Workshop) Martin Schrimpf, Stephen Merity, James Bradbury, Richard Socher
2018	A	`conf`	A Multi-Discriminator CycleGAN for Unsupervised Non-Parallel Speech Domain Adaptation. INTERSPEECH Ehsan Hosseini-Asl, Yingbo Zhou, Caiming Xiong, Richard Socher
2018	J	`jnl`	A Multi-Discriminator CycleGAN for Unsupervised Non-Parallel Speech Domain Adaptation. CoRR Ehsan Hosseini-Asl, Yingbo Zhou, Caiming Xiong, Richard Socher
2018	J	`jnl`	AdaFrame: Adaptive Frame Selection for Fast Video Recognition. CoRR Zuxuan Wu, Caiming Xiong, Chih-Yao Ma, Richard Socher, Larry S. Davis
2018	J	`jnl`	An Analysis of Neural Language Modeling at Multiple Scales. CoRR Stephen Merity, Nitish Shirish Keskar, Richard Socher
2018	J	`jnl`	Augmented Cyclic Adversarial Learning for Domain Adaptation. CoRR Ehsan Hosseini-Asl, Yingbo Zhou, Caiming Xiong, Richard Socher
2018	—	`conf`	DCN+: Mixed Objective And Deep Residual Coattention for Question Answering. ICLR (Poster) Caiming Xiong, Victor Zhong, Richard Socher
2018	—	`conf`	Efficient and Robust Question Answering from Minimal Context over Documents. ACL (1) Sewon Min, Victor Zhong, Richard Socher, Caiming Xiong
2018	J	`jnl`	Efficient and Robust Question Answering from Minimal Context over Documents. CoRR Sewon Min, Victor Zhong, Richard Socher, Caiming Xiong
2018	A*	`conf`	End-to-End Dense Video Captioning With Masked Transformer. CVPR Luowei Zhou, Yingbo Zhou, Jason J. Corso, Richard Socher, Caiming Xiong
2018	J	`jnl`	End-to-End Dense Video Captioning with Masked Transformer. CoRR Luowei Zhou, Yingbo Zhou, Jason J. Corso, Richard Socher, Caiming Xiong
2018	J	`jnl`	Global-Locally Self-Attentive Dialogue State Tracker. CoRR Victor Zhong, Caiming Xiong, Richard Socher
2018	—	`conf`	Global-Locally Self-Attentive Encoder for Dialogue State Tracking. ACL (1) Victor Zhong, Caiming Xiong, Richard Socher
2018	—	`conf`	Hierarchical and Interpretable Skill Acquisition in Multi-task Reinforcement Learning. ICLR (Poster) Tianmin Shu, Caiming Xiong, Richard Socher
2018	J	`jnl`	Identifying Generalization Properties in Neural Networks. CoRR Huan Wang, Nitish Shirish Keskar, Caiming Xiong, Richard Socher
2018	A*	`conf`	Improving Abstraction in Text Summarization. EMNLP Wojciech Kryscinski, Romain Paulus, Caiming Xiong, Richard Socher
2018	J	`jnl`	Improving Abstraction in Text Summarization. CoRR Wojciech Kryscinski, Romain Paulus, Caiming Xiong, Richard Socher
2018	Misc	`conf`	Improving End-to-End Speech Recognition with Policy Learning. ICASSP Yingbo Zhou, Caiming Xiong, Richard Socher
2018	—	`conf`	Interpretable Counting for Visual Question Answering. ICLR (Poster) Alexander Trott, Caiming Xiong, Richard Socher
2018	A*	`conf`	Multi-Hop Knowledge Graph Reasoning with Reward Shaping. EMNLP Xi Victoria Lin, Richard Socher, Caiming Xiong
2018	J	`jnl`	Multi-Hop Knowledge Graph Reasoning with Reward Shaping. CoRR Xi Victoria Lin, Richard Socher, Caiming Xiong
2018	—	`conf`	Non-Autoregressive Neural Machine Translation. ICLR (Poster) Jiatao Gu, James Bradbury, Caiming Xiong, Victor O. K. Li, Richard Socher
2018	—	`conf`	Regularizing and Optimizing LSTM Language Models. ICLR (Poster) Stephen Merity, Nitish Shirish Keskar, Richard Socher
2018	J	`jnl`	The Natural Language Decathlon: Multitask Learning as Question Answering. CoRR Bryan McCann, Nitish Shirish Keskar, Caiming Xiong, Richard Socher
2018	J	`jnl`	Using Mode Connectivity for Loss Landscape Analysis. CoRR Akhilesh Gotmare, Nitish Shirish Keskar, Caiming Xiong, Richard Socher
2017	J	`jnl`	A Deep Reinforced Model for Abstractive Summarization. CoRR Romain Paulus, Caiming Xiong, Richard Socher
2017	J	`jnl`	A Flexible Approach to Automated RNN Architecture Generation. CoRR Martin Schrimpf, Stephen Merity, James Bradbury, Richard Socher
2017	A*	`conf`	A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks. EMNLP Kazuma Hashimoto, Caiming Xiong, Yoshimasa Tsuruoka, Richard Socher
2017	J	`jnl`	Block-diagonal Hessian-free Optimization for Training Neural Networks. CoRR Huishuai Zhang, Caiming Xiong, James Bradbury, Richard Socher
2017	J	`jnl`	DCN+: Mixed Objective and Deep Residual Coattention for Question Answering. CoRR Caiming Xiong, Victor Zhong, Richard Socher
2017	—	`conf`	Dynamic Coattention Networks For Question Answering. ICLR (Poster) Caiming Xiong, Victor Zhong, Richard Socher
2017	J	`jnl`	Hierarchical and Interpretable Skill Acquisition in Multi-task Reinforcement Learning. CoRR Tianmin Shu, Caiming Xiong, Richard Socher
2017	J	`jnl`	Improved Regularization Techniques for End-to-End Speech Recognition. CoRR Yingbo Zhou, Caiming Xiong, Richard Socher
2017	J	`jnl`	Improving End-to-End Speech Recognition with Policy Learning. CoRR Yingbo Zhou, Caiming Xiong, Richard Socher
2017	J	`jnl`	Improving Generalization Performance by Switching from Adam to SGD. CoRR Nitish Shirish Keskar, Richard Socher
2017	J	`jnl`	Interpretable Counting for Visual Question Answering. CoRR Alexander Trott, Caiming Xiong, Richard Socher
2017	A*	`conf`	Knowing When to Look: Adaptive Attention via a Visual Sentinel for Image Captioning. CVPR Jiasen Lu, Caiming Xiong, Devi Parikh, Richard Socher
2017	—	`conf`	Learned in Translation: Contextualized Word Vectors. NIPS Bryan McCann, James Bradbury, Caiming Xiong, Richard Socher
2017	J	`jnl`	Learned in Translation: Contextualized Word Vectors. CoRR Bryan McCann, James Bradbury, Caiming Xiong, Richard Socher
2017	—	`conf`	Learning when to skim and when to read. Rep4NLP@ACL Alexander Rosenberg Johansen, Richard Socher
2017	J	`jnl`	Learning when to skim and when to read. CoRR Alexander Rosenberg Johansen, Richard Socher
2017	J	`jnl`	Non-Autoregressive Neural Machine Translation. CoRR Jiatao Gu, James Bradbury, Caiming Xiong, Victor O. K. Li, Richard Socher
2017	—	`conf`	Pointer Sentinel Mixture Models. ICLR (Poster) Stephen Merity, Caiming Xiong, James Bradbury, Richard Socher
2017	—	`conf`	Quasi-Recurrent Neural Networks. ICLR (Poster) James Bradbury, Stephen Merity, Caiming Xiong, Richard Socher
2017	J	`jnl`	Regularizing and Optimizing LSTM Language Models. CoRR Stephen Merity, Nitish Shirish Keskar, Richard Socher
2017	J	`jnl`	Revisiting Activation Regularization for Language RNNs. CoRR Stephen Merity, Bryan McCann, Richard Socher
2017	J	`jnl`	Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning. CoRR Victor Zhong, Caiming Xiong, Richard Socher
2017	—	`conf`	Towards Neural Machine Translation with Latent Tree Attention. SPNLP@EMNLP James Bradbury, Richard Socher
2017	J	`jnl`	Towards Neural Machine Translation with Latent Tree Attention. CoRR James Bradbury, Richard Socher
2017	—	`conf`	Tying Word Vectors and Word Classifiers: A Loss Framework for Language Modeling. ICLR (Poster) Hakan Inan, Khashayar Khosravi, Richard Socher
2017	J	`jnl`	Weighted Transformer Network for Machine Translation. CoRR Karim Ahmed, Nitish Shirish Keskar, Richard Socher
2016	J	`jnl`	A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks. CoRR Kazuma Hashimoto, Caiming Xiong, Yoshimasa Tsuruoka, Richard Socher
2016	J	`jnl`	A Way out of the Odyssey: Analyzing and Combining Recent Insights for LSTMs. CoRR Shayne Longpre, Sabeek Pradhan, Caiming Xiong, Richard Socher
2016	A*	`conf`	Ask Me Anything: Dynamic Memory Networks for Natural Language Processing. ICML Ankit Kumar, Ozan Irsoy, Peter Ondruska, Mohit Iyyer, James Bradbury, Ishaan Gulrajani, Victor Zhong, Romain Paulus, Richard Socher
2016	—	`conf`	Deep Learning for Sentiment Analysis - Invited Talk. WASSA@NAACL-HLT Richard Socher
2016	J	`jnl`	Dynamic Coattention Networks For Question Answering. CoRR Caiming Xiong, Victor Zhong, Richard Socher
2016	A*	`conf`	Dynamic Memory Networks for Visual and Textual Question Answering. ICML Caiming Xiong, Stephen Merity, Richard Socher
2016	J	`jnl`	Dynamic Memory Networks for Visual and Textual Question Answering. CoRR Caiming Xiong, Stephen Merity, Richard Socher
2016	J	`jnl`	Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning. CoRR Jiasen Lu, Caiming Xiong, Devi Parikh, Richard Socher
2016	—	`conf`	MetaMind Neural Machine Translation System for WMT 2016. WMT James Bradbury, Richard Socher
2016	J	`jnl`	Pointer Sentinel Mixture Models. CoRR Stephen Merity, Caiming Xiong, James Bradbury, Richard Socher
2016	J	`jnl`	Quasi-Recurrent Neural Networks. CoRR James Bradbury, Stephen Merity, Caiming Xiong, Richard Socher
2016	J	`jnl`	Tying Word Vectors and Word Classifiers: A Loss Framework for Language Modeling. CoRR Hakan Inan, Khashayar Khosravi, Richard Socher
2015	J	`jnl`	Ask Me Anything: Dynamic Memory Networks for Natural Language Processing. CoRR Ankit Kumar, Ozan Irsoy, Peter Ondruska, Mohit Iyyer, James Bradbury, Ishaan Gulrajani, Victor Zhong, Romain Paulus, Richard Socher
2015	—	`conf`	Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks. ACL (1) Kai Sheng Tai, Richard Socher, Christopher D. Manning
2015	J	`jnl`	Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks. CoRR Kai Sheng Tai, Richard Socher, Christopher D. Manning
2014	A*	`conf`	A Neural Network for Factoid Question Answering over Paragraphs. EMNLP Mohit Iyyer, Jordan L. Boyd-Graber, Leonardo Max Batista Claudino, Richard Socher, Hal Daumé III
2014	—	`conf`	Global Belief Recursive Neural Networks. NIPS Romain Paulus, Richard Socher, Christopher D. Manning
2014	A*	`conf`	Glove: Global Vectors for Word Representation. EMNLP Jeffrey Pennington, Richard Socher, Christopher D. Manning
2014	J	`jnl`	Grounded Compositional Semantics for Finding and Describing Images with Sentences. Trans. Assoc. Comput. Linguistics Richard Socher, Andrej Karpathy, Quoc V. Le, Christopher D. Manning, Andrew Y. Ng
2014	—	`—`	Recursive deep learning for natural language processing and computer vision. Richard Socher
2014	B	`conf`	Scaling short-answer grading by combining peer assessment with algorithmic scoring. L@S Chinmay Eishan Kulkarni, Richard Socher, Michael S. Bernstein, Scott R. Klemmer
2013	B	`conf`	Better Word Representations with Recursive Neural Networks for Morphology. CoNLL Thang Luong, Richard Socher, Christopher D. Manning
2013	A*	`conf`	Bilingual Word Embeddings for Phrase-Based Machine Translation. EMNLP Will Y. Zou, Richard Socher, Daniel M. Cer, Christopher D. Manning
2013	—	`conf`	Deep Learning for NLP (without Magic). HLT-NAACL Richard Socher, Christopher D. Manning
2013	—	`conf`	Learning New Facts From Knowledge Bases With Neural Tensor Networks and Semantic Word Vectors ICLR (Workshop Poster) Danqi Chen, Richard Socher, Christopher D. Manning, Andrew Y. Ng
2013	—	`conf`	Parsing with Compositional Vector Grammars. ACL (1) Richard Socher, John Bauer, Christopher D. Manning, Andrew Y. Ng
2013	—	`ed.`	Proceedings of the Workshop on Continuous Vector Space Models and their Compositionality, CVSM@ACL 2013, Sofia, Bulgaria, August 9, 2013 CVSM@ACL Alexandre Allauzen, Hugo Larochelle, Christopher D. Manning, Richard Socher
2013	—	`conf`	Reasoning With Neural Tensor Networks for Knowledge Base Completion. NIPS Richard Socher, Danqi Chen, Christopher D. Manning, Andrew Y. Ng
2013	A*	`conf`	Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank. EMNLP Richard Socher, Alex Perelygin, Jean Wu, Jason Chuang, Christopher D. Manning, Andrew Y. Ng, Christopher Potts
2013	—	`conf`	Zero-Shot Learning Through Cross-Modal Transfer ICLR (Workshop) Richard Socher, Milind Ganjoo, Hamsa Sridhar, Osbert Bastani, Christopher D. Manning, Andrew Y. Ng
2013	—	`conf`	Zero-Shot Learning Through Cross-Modal Transfer. NIPS Richard Socher, Milind Ganjoo, Christopher D. Manning, Andrew Y. Ng
2012	—	`conf`	Convolutional-Recursive Deep Learning for 3D Object Classification. NIPS Richard Socher, Brody Huval, Bharath Putta Bath, Christopher D. Manning, Andrew Y. Ng
2012	—	`conf`	Deep Learning for NLP (without Magic). ACL (Tutorial Abstracts) Richard Socher, Yoshua Bengio, Christopher D. Manning
2012	—	`conf`	Improving Word Representations via Global Context and Multiple Word Prototypes. ACL (1) Eric H. Huang, Richard Socher, Christopher D. Manning, Andrew Y. Ng
2012	—	`conf`	Semantic Compositionality through Recursive Matrix-Vector Spaces. EMNLP-CoNLL Richard Socher, Brody Huval, Christopher D. Manning, Andrew Y. Ng
2011	—	`conf`	Dynamic Pooling and Unfolding Recursive Autoencoders for Paraphrase Detection. NIPS Richard Socher, Eric H. Huang, Jeffrey Pennington, Andrew Y. Ng, Christopher D. Manning
2011	A*	`conf`	Parsing Natural Scenes and Natural Language with Recursive Neural Networks. ICML Richard Socher, Cliff Chiung-Yu Lin, Andrew Y. Ng, Christopher D. Manning
2011	A*	`conf`	Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributions. EMNLP Richard Socher, Jeffrey Pennington, Eric H. Huang, Andrew Y. Ng, Christopher D. Manning
2011	A	`conf`	Spectral Chinese Restaurant Processes: Nonparametric Clustering Based on Similarities. AISTATS Richard Socher, Andrew L. Maas, Christopher D. Manning
2010	A*	`conf`	Connecting modalities: Semi-supervised segmentation and annotation of images using unaligned text corpora. CVPR Richard Socher, Li Fei-Fei
2009	—	`conf`	A Bayesian Analysis of Dynamics in Free Recall. NIPS Richard Socher, Samuel Gershman, Adler J. Perotte, Per B. Sederberg, David M. Blei, Kenneth A. Norman
2009	A*	`conf`	ImageNet: A large-scale hierarchical image database. CVPR Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, Li Fei-Fei
2009	A*	`conf`	Towards total scene understanding: Classification, annotation and segmentation in an automatic framework. CVPR Li-Jia Li, Richard Socher, Li Fei-Fei
2008	—	`conf`	A learning based hierarchical model for vessel segmentation. ISBI Richard Socher, Adrian Barbu, Dorin Comaniciu
2007	—	`conf`	Combining Contexts in Lexicon Learning for Semantic Parsing. NODALIDA Richard Socher, Chris Biemann, Rainer Osswald