Socher, Richard

54 publications

ICLR 2021 BERTology Meets Biology: Interpreting Attention in Protein Language Models Jesse Vig, Ali Madani, Lav R. Varshney, Caiming Xiong, Richard Socher, Nazneen Rajani

ICML 2021 Catastrophic Fisher Explosion: Early Phase Fisher Matrix Impacts Generalization Stanislaw Jastrzebski, Devansh Arpit, Oliver Astrand, Giancarlo B Kerg, Huan Wang, Caiming Xiong, Richard Socher, Kyunghyun Cho, Krzysztof J Geras

NeurIPS 2021 Evaluating State-of-the-Art Classification Models Against Bayes Optimality Ryan Theisen, Huan Wang, Lav R. Varshney, Caiming Xiong, Richard Socher

ICLR 2021 GraPPa: Grammar-Augmented Pre-Training for Table Semantic Parsing Tao Yu, Chien-Sheng Wu, Xi Victoria Lin, Bailin Wang, Yi Chern Tan, Xinyi Yang, Dragomir Radev, Richard Socher, Caiming Xiong

CVPR 2021 WOAD: Weakly Supervised Online Action Detection in Untrimmed Videos Mingfei Gao, Yingbo Zhou, Ran Xu, Richard Socher, Caiming Xiong

NeurIPS 2020 A Simple Language Model for Task-Oriented Dialogue Ehsan Hosseini-Asl, Bryan McCann, Chien-Sheng Wu, Semih Yavuz, Richard Socher

AISTATS 2020 Assessing Local Generalization Capability in Deep Models Huan Wang, Nitish Shirish Keskar, Caiming Xiong, Richard Socher

NeurIPSW 2020 DIME: An Information-Theoretic Difficulty Measure for AI Datasets Peiliang Zhang, Huan Wang, Nikhil Naik, Caiming Xiong, Richard Socher

ICLR 2020 DivideMix: Learning with Noisy Labels as Semi-Supervised Learning Junnan Li, Richard Socher, Steven C. H. Hoi

ICML 2020 Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills Victor Campos, Alexander Trott, Caiming Xiong, Richard Socher, Xavier Giro-I-Nieto, Jordi Torres

ICLR 2020 Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering Akari Asai, Kazuma Hashimoto, Hannaneh Hajishirzi, Richard Socher, Caiming Xiong

ICLR 2020 Non-Autoregressive Dialog State Tracking Hung Le, Richard Socher, Steven C. H. Hoi

NeurIPS 2020 Online Structured Meta-Learning Huaxiu Yao, Yingbo Zhou, Mehrdad Mahdavi, Zhenhui Li, Richard Socher, Caiming Xiong

NeurIPS 2020 Theory-Inspired Path-Regularized Differential Network Architecture Search Pan Zhou, Caiming Xiong, Richard Socher, Steven Chu Hong Hoi

NeurIPS 2020 Towards Understanding Hierarchical Learning: Benefits of Neural Representations Minshuo Chen, Yu Bai, Jason Lee, Tuo Zhao, Huan Wang, Caiming Xiong, Richard Socher

ICLR 2020 Tree-Structured Attention with Hierarchical Accumulation Xuan-Phi Nguyen, Shafiq Joty, Steven C. H. Hoi, Richard Socher

ICLR 2020 XLDA: Cross-Lingual Data Augmentation for Natural Language Inference and Question Answering Jasdeep Singh, Bryan McCann, Nitish Shirish Keskar, Caiming Xiong, Richard Socher

ICLR 2019 A Closer Look at Deep Learning Heuristics: Learning Rate Restarts, Warmup and Distillation Akhilesh Gotmare, Nitish Shirish Keskar, Caiming Xiong, Richard Socher

ICLR 2019 Augmented Cyclic Adversarial Learning for Low Resource Domain Adaptation Ehsan Hosseini-Asl, Yingbo Zhou, Caiming Xiong, Richard Socher

ICLR 2019 Coarse-Grain Fine-Grain Coattention Network for Multi-Evidence Question Answering Victor Zhong, Caiming Xiong, Nitish Shirish Keskar, Richard Socher

ICLR 2019 Competitive Experience Replay Hao Liu, Alexander Trott, Richard Socher, Caiming Xiong

ICLR 2019 Global-to-Local Memory Pointer Networks for Task-Oriented Dialogue Chien-Sheng Wu, Richard Socher, Caiming Xiong

NeurIPS 2019 Keeping Your Distance: Solving Sparse Reward Tasks Using Self-Balancing Shaped Rewards Alexander Trott, Stephan Zheng, Caiming Xiong, Richard Socher

ICML 2019 Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting Xilai Li, Yingbo Zhou, Tianfu Wu, Richard Socher, Caiming Xiong

ICML 2019 On the Generalization Gap in Reparameterizable Reinforcement Learning Huan Wang, Stephan Zheng, Caiming Xiong, Richard Socher

ICLR 2019 Self-Monitoring Navigation Agent via Auxiliary Progress Estimation Chih-Yao Ma, Jiasen Lu, Zuxuan Wu, Ghassan AlRegib, Zsolt Kira, Richard Socher, Caiming Xiong

ICML 2019 Taming MAML: Efficient Unbiased Meta-Reinforcement Learning Hao Liu, Richard Socher, Caiming Xiong

ICLR 2018 A Deep Reinforced Model for Abstractive Summarization Romain Paulus, Caiming Xiong, Richard Socher

ICLR 2018 DCN+: Mixed Objective and Deep Residual Coattention for Question Answering Caiming Xiong, Victor Zhong, Richard Socher

ICLR 2018 Hierarchical and Interpretable Skill Acquisition in Multi-Task Reinforcement Learning Tianmin Shu, Caiming Xiong, Richard Socher

ICLR 2018 Interpretable Counting for Visual Question Answering Alexander Trott, Caiming Xiong, Richard Socher

ICLR 2018 Non-Autoregressive Neural Machine Translation Jiatao Gu, James Bradbury, Caiming Xiong, Victor O.K. Li, Richard Socher

ICLR 2018 Regularizing and Optimizing LSTM Language Models Stephen Merity, Nitish Shirish Keskar, Richard Socher

ICLR 2017 Dynamic Coattention Networks for Question Answering Caiming Xiong, Victor Zhong, Richard Socher

CVPR 2017 Knowing When to Look: Adaptive Attention via a Visual Sentinel for Image Captioning Jiasen Lu, Caiming Xiong, Devi Parikh, Richard Socher

NeurIPS 2017 Learned in Translation: Contextualized Word Vectors Bryan McCann, James Bradbury, Caiming Xiong, Richard Socher

ICLR 2017 Pointer Sentinel Mixture Models Stephen Merity, Caiming Xiong, James Bradbury, Richard Socher

ICLR 2017 Quasi-Recurrent Neural Networks James Bradbury, Stephen Merity, Caiming Xiong, Richard Socher

ICLR 2017 Tying Word Vectors and Word Classifiers: A Loss Framework for Language Modeling Hakan Inan, Khashayar Khosravi, Richard Socher

ICML 2016 Ask Me Anything: Dynamic Memory Networks for Natural Language Processing Ankit Kumar, Ozan Irsoy, Peter Ondruska, Mohit Iyyer, James Bradbury, Ishaan Gulrajani, Victor Zhong, Romain Paulus, Richard Socher

ICML 2016 Dynamic Memory Networks for Visual and Textual Question Answering Caiming Xiong, Stephen Merity, Richard Socher

NeurIPS 2014 Global Belief Recursive Neural Networks Romain Paulus, Richard Socher, Christopher D. Manning

ICLR 2013 Learning New Facts from Knowledge Bases with Neural Tensor Networks and Semantic Word Vectors Danqi Chen, Richard Socher, Christopher D. Manning, Andrew Y. Ng

NeurIPS 2013 Reasoning with Neural Tensor Networks for Knowledge Base Completion Richard Socher, Danqi Chen, Christopher D. Manning, Andrew Ng

NeurIPS 2013 Zero-Shot Learning Through Cross-Modal Transfer Richard Socher, Milind Ganjoo, Christopher D. Manning, Andrew Ng

ICLR 2013 Zero-Shot Learning Through Cross-Modal Transfer Richard Socher, Milind Ganjoo, Hamsa Sridhar, Osbert Bastani, Christopher D. Manning, Andrew Y. Ng

NeurIPS 2012 Convolutional-Recursive Deep Learning for 3D Object Classification Richard Socher, Brody Huval, Bharath Bath, Christopher D. Manning, Andrew Y. Ng

NeurIPS 2011 Dynamic Pooling and Unfolding Recursive Autoencoders for Paraphrase Detection Richard Socher, Eric H. Huang, Jeffrey Pennin, Christopher D. Manning, Andrew Y. Ng

ICML 2011 Parsing Natural Scenes and Natural Language with Recursive Neural Networks Richard Socher, Cliff Chiung-Yu Lin, Andrew Y. Ng, Christopher D. Manning

AISTATS 2011 Spectral Chinese Restaurant Processes: Nonparametric Clustering Based on Similarities Richard Socher, Andrew Maas, Christopher Manning

CVPR 2010 Connecting Modalities: Semi-Supervised Segmentation and Annotation of Images Using Unaligned Text Corpora Richard Socher, Li Fei-Fei

NeurIPS 2009 A Bayesian Analysis of Dynamics in Free Recall Richard Socher, Samuel Gershman, Per Sederberg, Kenneth Norman, Adler J. Perotte, David M. Blei

CVPR 2009 ImageNet: A Large-Scale Hierarchical Image Database Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, Li Fei-Fei

CVPR 2009 Towards Total Scene Understanding: Classification, Annotation and Segmentation in an Automatic Framework Li-Jia Li, Richard Socher, Li Fei-Fei