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ORCIDRichard Socher
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- affiliation: You.com
- affiliation: Salesforce Research, USA
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2020 – today
- 2024
[i112]Shervin Minaee, Tomás Mikolov, Narjes Nikzad, Meysam Chenaghlu, Richard Socher, Xavier Amatriain, Jianfeng Gao:
Large Language Models: A Survey. CoRR abs/2402.06196 (2024)- 2023
- [j7]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:
Author Correction: Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials. npj Digit. Medicine 6 (2023) - 2022
- [j6]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:
Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials. npj Digit. Medicine 5 (2022) - [i111]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:
Converse: A Tree-Based Modular Task-Oriented Dialogue System. CoRR abs/2203.12187 (2022) - 2021
- [j5]Andre Esteva, Katherine Chou, Serena Yeung, Nikhil Naik, Ali Madani, Ali Mottaghi, Yun Liu, Eric J. Topol, Jeff Dean, Richard Socher:
Deep learning-enabled medical computer vision. npj Digit. Medicine 4 (2021) - [j4]Andre Esteva, Anuprit Kale, Romain Paulus, Kazuma Hashimoto, Wenpeng Yin, Dragomir Radev, Richard Socher:
COVID-19 information retrieval with deep-learning based semantic search, question answering, and abstractive summarization. npj Digit. Medicine 4 (2021) - [j3]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:
Biological data annotation via a human-augmenting AI-based labeling system. npj Digit. Medicine 4 (2021) - [j2]Alexander R. Fabbri, Wojciech Kryscinski, Bryan McCann, Caiming Xiong, Richard Socher, Dragomir R. Radev:
SummEval: Re-evaluating Summarization Evaluation. Trans. Assoc. Comput. Linguistics 9: 391-409 (2021) - [c111]Mingfei Gao, Yingbo Zhou, Ran Xu, Richard Socher, Caiming Xiong:
WOAD: Weakly Supervised Online Action Detection in Untrimmed Videos. CVPR 2021: 1915-1923 - [c110]Ben Krause, Akhilesh Deepak Gotmare, Bryan McCann, Nitish Shirish Keskar, Shafiq R. Joty, Richard Socher, Nazneen Fatema Rajani:
GeDi: Generative Discriminator Guided Sequence Generation. EMNLP (Findings) 2021: 4929-4952 - [c109]Tao Yu, Chien-Sheng Wu, Xi Victoria Lin, Bailin Wang, Yi Chern Tan, Xinyi Yang, Dragomir R. Radev, Richard Socher, Caiming Xiong:
GraPPa: Grammar-Augmented Pre-Training for Table Semantic Parsing. ICLR 2021 - [c108]Jesse Vig, Ali Madani, Lav R. Varshney, Caiming Xiong, Richard Socher, Nazneen Fatema Rajani:
BERTology Meets Biology: Interpreting Attention in Protein Language Models. ICLR 2021 - [c107]Stanislaw Jastrzebski, Devansh Arpit, Oliver Åstrand, Giancarlo Kerg, Huan Wang, Caiming Xiong, Richard Socher, Kyunghyun Cho, Krzysztof J. Geras:
Catastrophic Fisher Explosion: Early Phase Fisher Matrix Impacts Generalization. ICML 2021: 4772-4784 - [c106]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:
DART: Open-Domain Structured Data Record to Text Generation. NAACL-HLT 2021: 432-447 - [c105]Ryan Theisen, Huan Wang, Lav R. Varshney, Caiming Xiong, Richard Socher:
Evaluating State-of-the-Art Classification Models Against Bayes Optimality. NeurIPS 2021: 9367-9377 - [i110]Ryan Theisen, Huan Wang, Lav R. Varshney, Caiming Xiong, Richard Socher:
Evaluating State-of-the-Art Classification Models Against Bayes Optimality. CoRR abs/2106.03357 (2021) - [i109]Stephan Zheng, Alexander Trott, Sunil Srinivasa, David C. Parkes, Richard Socher:
The AI Economist: Optimal Economic Policy Design via Two-level Deep Reinforcement Learning. CoRR abs/2108.02755 (2021) - 2020
- [c104]Jichuan Zeng, Xi Victoria Lin, Steven C. H. Hoi, Richard Socher, Caiming Xiong, Michael R. Lyu, Irwin King:
Photon: A Robust Cross-Domain Text-to-SQL System. ACL (demo) 2020: 204-214 - [c103]Yifan Gao, Chien-Sheng Wu, Shafiq R. Joty, Caiming Xiong, Richard Socher, Irwin King, Michael R. Lyu, Steven C. H. Hoi:
Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading. ACL 2020: 935-945 - [c102]Samson Tan, Shafiq R. Joty, Min-Yen Kan, Richard Socher:
It's Morphin' Time! Combating Linguistic Discrimination with Inflectional Perturbations. ACL 2020: 2920-2935 - [c101]Jay DeYoung, Sarthak Jain, Nazneen Fatema Rajani, Eric Lehman, Caiming Xiong, Richard Socher, Byron C. Wallace:
ERASER: A Benchmark to Evaluate Rationalized NLP Models. ACL 2020: 4443-4458 - [c100]Nazneen Fatema Rajani, Rui Zhang, Yi Chern Tan, Stephan Zheng, Jeremy Weiss, Aadit Vyas, Abhijit Gupta, Caiming Xiong, Richard Socher, Dragomir R. Radev:
ESPRIT: Explaining Solutions to Physical Reasoning Tasks. ACL 2020: 7906-7917 - [c99]Huan Wang, Nitish Shirish Keskar, Caiming Xiong, Richard Socher:
Assessing Local Generalization Capability in Deep Models. AISTATS 2020: 2077-2087 - [c98]Hengduo Li, Zuxuan Wu, Chen Zhu, Caiming Xiong, Richard Socher, Larry S. Davis:
Learning From Noisy Anchors for One-Stage Object Detection. CVPR 2020: 10585-10594 - [c97]Chien-Sheng Wu, Steven C. H. Hoi, Richard Socher, Caiming Xiong:
TOD-BERT: Pre-trained Natural Language Understanding for Task-Oriented Dialogue. EMNLP (1) 2020: 917-929 - [c96]Congying Xia, Caiming Xiong, Philip S. Yu, Richard Socher:
Composed Variational Natural Language Generation for Few-shot Intents. EMNLP (Findings) 2020: 3379-3388 - [c95]Xi Victoria Lin, Richard Socher, Caiming Xiong:
Bridging Textual and Tabular Data for Cross-Domain Text-to-SQL Semantic Parsing. EMNLP (Findings) 2020: 4870-4888 - [c94]Jian-Guo Zhang, Kazuma Hashimoto, Wenhao Liu, Chien-Sheng Wu, Yao Wan, Philip S. Yu, Richard Socher, Caiming Xiong:
Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language Inference. EMNLP (1) 2020: 5064-5082 - [c93]Semih Yavuz, Kazuma Hashimoto, Wenhao Liu, Nitish Shirish Keskar, Richard Socher, Caiming Xiong:
Simple Data Augmentation with the Mask Token Improves Domain Adaptation for Dialog Act Tagging. EMNLP (1) 2020: 5083-5089 - [c92]Nitish Shirish Keskar, Bryan McCann, Caiming Xiong, Richard Socher:
The Thieves on Sesame Street are Polyglots - Extracting Multilingual Models from Monolingual APIs. EMNLP (1) 2020: 6203-6207 - [c91]Wenpeng Yin, Nazneen Fatema Rajani, Dragomir R. Radev, Richard Socher, Caiming Xiong:
Universal Natural Language Processing with Limited Annotations: Try Few-shot Textual Entailment as a Start. EMNLP (1) 2020: 8229-8239 - [c90]Wojciech Kryscinski, Bryan McCann, Caiming Xiong, Richard Socher:
Evaluating the Factual Consistency of Abstractive Text Summarization. EMNLP (1) 2020: 9332-9346 - [c89]Akari Asai, Kazuma Hashimoto, Hannaneh Hajishirzi, Richard Socher, Caiming Xiong:
Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering. ICLR 2020 - [c88]Hung Le, Richard Socher, Steven C. H. Hoi:
Non-Autoregressive Dialog State Tracking. ICLR 2020 - [c87]Junnan Li, Richard Socher, Steven C. H. Hoi:
DivideMix: Learning with Noisy Labels as Semi-supervised Learning. ICLR 2020 - [c86]Xuan-Phi Nguyen, Shafiq R. Joty, Steven C. H. Hoi, Richard Socher:
Tree-Structured Attention with Hierarchical Accumulation. ICLR 2020 - [c85]Victor Campos, Alexander Trott, Caiming Xiong, Richard Socher, Xavier Giró-i-Nieto, Jordi Torres:
Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills. ICML 2020: 1317-1327 - [c84]Weiran Wang, Guangsen Wang, Aadyot Bhatnagar, Yingbo Zhou, Caiming Xiong, Richard Socher:
An Investigation of Phone-Based Subword Units for End-to-End Speech Recognition. INTERSPEECH 2020: 1778-1782 - [c83]Lav R. Varshney, Nitish Shirish Keskar, Richard Socher:
Limits of Detecting Text Generated by Large-Scale Language Models. ITA 2020: 1-5 - [c82]Minshuo Chen, Yu Bai, Jason D. Lee, Tuo Zhao, Huan Wang, Caiming Xiong, Richard Socher:
Towards Understanding Hierarchical Learning: Benefits of Neural Representations. NeurIPS 2020 - [c81]Ehsan Hosseini-Asl, Bryan McCann, Chien-Sheng Wu, Semih Yavuz, Richard Socher:
A Simple Language Model for Task-Oriented Dialogue. NeurIPS 2020 - [c80]Huaxiu Yao, Yingbo Zhou, Mehrdad Mahdavi, Zhenhui Li, Richard Socher, Caiming Xiong:
Online Structured Meta-learning. NeurIPS 2020 - [c79]Pan Zhou, Caiming Xiong, Richard Socher, Steven Chu-Hong Hoi:
Theory-Inspired Path-Regularized Differential Network Architecture Search. NeurIPS 2020 - [c78]Jian-Guo Zhang, Kazuma Hashimoto, Chien-Sheng Wu, Yao Wan, Philip S. Yu, Richard Socher, Caiming Xiong:
Find or Classify? Dual Strategy for Slot-Value Predictions on Multi-Domain Dialog State Tracking. *SEM@COLING 2020: 154-167 - [i108]Lav R. Varshney, Nitish Shirish Keskar, Richard Socher:
Limits of Detecting Text Generated by Large-Scale Language Models. CoRR abs/2002.03438 (2020) - [i107]Víctor Campos, Alexander Trott, Caiming Xiong, Richard Socher, Xavier Giró-i-Nieto, Jordi Torres:
Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills. CoRR abs/2002.03647 (2020) - [i106]Yu Bai, Ben Krause, Huan Wang, Caiming Xiong, Richard Socher:
Taylorized Training: Towards Better Approximation of Neural Network Training at Finite Width. CoRR abs/2002.04010 (2020) - [i105]Junnan Li, Richard Socher, Steven C. H. Hoi:
DivideMix: Learning with Noisy Labels as Semi-supervised Learning. CoRR abs/2002.07394 (2020) - [i104]Hung Le, Richard Socher, Steven C. H. Hoi:
Non-Autoregressive Dialog State Tracking. CoRR abs/2002.08024 (2020) - [i103]Xuan-Phi Nguyen, Shafiq R. Joty, Steven C. H. Hoi, Richard Socher:
Tree-structured Attention with Hierarchical Accumulation. CoRR abs/2002.08046 (2020) - [i102]Devansh Arpit, Huan Wang, Caiming Xiong, Richard Socher, Yoshua Bengio:
Neural Bayes: A Generic Parameterization Method for Unsupervised Representation Learning. CoRR abs/2002.09046 (2020) - [i101]Junnan Li, Caiming Xiong, Richard Socher, Steven C. H. Hoi:
Towards Noise-resistant Object Detection with Noisy Annotations. CoRR abs/2003.01285 (2020) - [i100]Isabela Albuquerque, Nikhil Naik, Junnan Li, Nitish Shirish Keskar, Richard Socher:
Improving out-of-distribution generalization via multi-task self-supervised pretraining. CoRR abs/2003.13525 (2020) - [i99]Ali Madani, Bryan McCann, Nikhil Naik, Nitish Shirish Keskar, Namrata Anand, Raphael R. Eguchi, Po-Ssu Huang, Richard Socher:
ProGen: Language Modeling for Protein Generation. CoRR abs/2004.03497 (2020) - [i98]Chien-Sheng Wu, Steven C. H. Hoi, Richard Socher, Caiming Xiong:
ToD-BERT: Pre-trained Natural Language Understanding for Task-Oriented Dialogues. CoRR abs/2004.06871 (2020) - [i97]Stephan Zheng, Alexander Trott, Sunil Srinivasa, Nikhil Naik, Melvin Gruesbeck, David C. Parkes, Richard Socher:
The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies. CoRR abs/2004.13332 (2020) - [i96]Nazneen Fatema Rajani, Rui Zhang, Yi Chern Tan, Stephan Zheng, Jeremy Weiss, Aadit Vyas, Abhijit Gupta, Caiming Xiong, Richard Socher, Dragomir R. Radev:
ESPRIT: Explaining Solutions to Physical Reasoning Tasks. CoRR abs/2005.00730 (2020) - [i95]Ehsan Hosseini-Asl, Bryan McCann, Chien-Sheng Wu, Semih Yavuz, Richard Socher:
A Simple Language Model for Task-Oriented Dialogue. CoRR abs/2005.00796 (2020) - [i94]Samson Tan, Shafiq R. Joty, Min-Yen Kan, Richard Socher:
It's Morphin' Time! Combating Linguistic Discrimination with Inflectional Perturbations. CoRR abs/2005.04364 (2020) - [i93]Junnan Li, Pan Zhou, Caiming Xiong, Richard Socher, Steven C. H. Hoi:
Prototypical Contrastive Learning of Unsupervised Representations. CoRR abs/2005.04966 (2020) - [i92]Yifan Gao, Chien-Sheng Wu, Shafiq R. Joty, Caiming Xiong, Richard Socher, Irwin King, Michael R. Lyu, Steven C. H. Hoi:
EMT: Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading. CoRR abs/2005.12484 (2020) - [i91]Mingfei Gao, Yingbo Zhou, Ran Xu, Richard Socher, Caiming Xiong:
WOAD: Weakly Supervised Online Action Detection in Untrimmed Videos. CoRR abs/2006.03732 (2020) - [i90]Andre Esteva, Anuprit Kale, Romain Paulus, Kazuma Hashimoto, Wenpeng Yin, Dragomir R. Radev, Richard Socher:
CO-Search: COVID-19 Information Retrieval with Semantic Search, Question Answering, and Abstractive Summarization. CoRR abs/2006.09595 (2020) - [i89]Kazuma Hashimoto, Raffaella Buschiazzo, James Bradbury, Teresa Marshall, Richard Socher, Caiming Xiong:
A High-Quality Multilingual Dataset for Structured Documentation Translation. CoRR abs/2006.13425 (2020) - [i88]Minshuo Chen, Yu Bai, Jason D. Lee, Tuo Zhao, Huan Wang, Caiming Xiong, Richard Socher:
Towards Understanding Hierarchical Learning: Benefits of Neural Representations. CoRR abs/2006.13436 (2020) - [i87]Jesse Vig, Ali Madani, Lav R. Varshney, Caiming Xiong, Richard Socher, Nazneen Fatema Rajani:
BERTology Meets Biology: Interpreting Attention in Protein Language Models. CoRR abs/2006.15222 (2020) - [i86]Pan Zhou, Caiming Xiong, Richard Socher, Steven C. H. Hoi:
Theory-Inspired Path-Regularized Differential Network Architecture Search. CoRR abs/2006.16537 (2020) - [i85]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:
DART: Open-Domain Structured Data Record to Text Generation. CoRR abs/2007.02871 (2020) - [i84]Alexander R. Fabbri, Wojciech Kryscinski, Bryan McCann, Caiming Xiong, Richard Socher, Dragomir R. Radev:
SummEval: Re-evaluating Summarization Evaluation. CoRR abs/2007.12626 (2020) - [i83]Jichuan Zeng, Xi Victoria Lin, Caiming Xiong, Richard Socher, Michael R. Lyu, Irwin King, Steven C. H. Hoi:
Photon: A Robust Cross-Domain Text-to-SQL System. CoRR abs/2007.15280 (2020) - [i82]Christopher Liu, Laura Dominé, Kevin Chavez, Richard Socher:
Central Yup'ik and Machine Translation of Low-Resource Polysynthetic Languages. CoRR abs/2009.04087 (2020) - [i81]Ben Krause, Akhilesh Deepak Gotmare, Bryan McCann, Nitish Shirish Keskar, Shafiq R. Joty, Richard Socher, Nazneen Fatema Rajani:
GeDi: Generative Discriminator Guided Sequence Generation. CoRR abs/2009.06367 (2020) - [i80]Congying Xia, Caiming Xiong, Philip S. Yu, Richard Socher:
Composed Variational Natural Language Generation for Few-shot Intents. CoRR abs/2009.10056 (2020) - [i79]Tao Yu, Chien-Sheng Wu, Xi Victoria Lin, Bailin Wang, Yi Chern Tan, Xinyi Yang, Dragomir R. Radev, Richard Socher, Caiming Xiong:
GraPPa: Grammar-Augmented Pre-Training for Table Semantic Parsing. CoRR abs/2009.13845 (2020) - [i78]Wenpeng Yin, Nazneen Fatema Rajani, Dragomir R. Radev, Richard Socher, Caiming Xiong:
Universal Natural Language Processing with Limited Annotations: Try Few-shot Textual Entailment as a Start. CoRR abs/2010.02584 (2020) - [i77]Lav R. Varshney, Nazneen Fatema Rajani, Richard Socher:
Explaining Creative Artifacts. CoRR abs/2010.07126 (2020) - [i76]Nazneen Fatema Rajani, Ben Krause, Wenpeng Yin, Tong Niu, Richard Socher, Caiming Xiong:
Explaining and Improving Model Behavior with k Nearest Neighbor Representations. CoRR abs/2010.09030 (2020) - [i75]Huaxiu Yao, Yingbo Zhou, Mehrdad Mahdavi, Zhenhui Li, Richard Socher, Caiming Xiong:
Online Structured Meta-learning. CoRR abs/2010.11545 (2020) - [i74]Jian-Guo Zhang, Kazuma Hashimoto, Wenhao Liu, Chien-Sheng Wu, Yao Wan, Philip S. Yu, Richard Socher, Caiming Xiong:
Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language Inference. CoRR abs/2010.13009 (2020) - [i73]Xi Victoria Lin, Richard Socher, Caiming Xiong:
Bridging Textual and Tabular Data for Cross-Domain Text-to-SQL Semantic Parsing. CoRR abs/2012.12627 (2020) - [i72]Stanislaw Jastrzebski, Devansh Arpit, Oliver Åstrand, Giancarlo Kerg, Huan Wang, Caiming Xiong, Richard Socher, Kyunghyun Cho, Krzysztof J. Geras:
Catastrophic Fisher Explosion: Early Phase Fisher Matrix Impacts Generalization. CoRR abs/2012.14193 (2020)
2010 – 2019
- 2019
- [c77]Chien-Sheng Wu, Andrea Madotto, Ehsan Hosseini-Asl, Caiming Xiong, Richard Socher, Pascale Fung:
Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems. ACL (1) 2019: 808-819 - [c76]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:
SParC: Cross-Domain Semantic Parsing in Context. ACL (1) 2019: 4511-4523 - [c75]Nazneen Fatema Rajani, Bryan McCann, Caiming Xiong, Richard Socher:
Explain Yourself! Leveraging Language Models for Commonsense Reasoning. ACL (1) 2019: 4932-4942 - [c74]Jasdeep Singh, Bryan McCann, Richard Socher, Caiming Xiong:
BERT is Not an Interlingua and the Bias of Tokenization. DeepLo@EMNLP-IJCNLP 2019: 47-55 - [c73]Zuxuan Wu, Caiming Xiong, Chih-Yao Ma, Richard Socher, Larry S. Davis:
AdaFrame: Adaptive Frame Selection for Fast Video Recognition. CVPR 2019: 1278-1287 - [c72]Wojciech Kryscinski, Nitish Shirish Keskar, Bryan McCann, Caiming Xiong, Richard Socher:
Neural Text Summarization: A Critical Evaluation. EMNLP/IJCNLP (1) 2019: 540-551 - [c71]Mingfei Gao, Larry Davis, Richard Socher, Caiming Xiong:
WSLLN: Weakly Supervised Natural Language Localization Networks. EMNLP/IJCNLP (1) 2019: 1481-1487 - [c70]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:
CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases. EMNLP/IJCNLP (1) 2019: 1962-1979 - [c69]Rui Zhang, Tao Yu, Heyang Er, Sungrok Shim, Eric Xue, Xi Victoria Lin, Tianze Shi, Caiming Xiong, Richard Socher, Dragomir R. Radev:
Editing-Based SQL Query Generation for Cross-Domain Context-Dependent Questions. EMNLP/IJCNLP (1) 2019: 5337-5348 - [c68]Mingfei Gao, Mingze Xu, Larry Davis, Richard Socher, Caiming Xiong:
StartNet: Online Detection of Action Start in Untrimmed Videos. ICCV 2019: 5541-5550 - [c67]Akhilesh Gotmare, Nitish Shirish Keskar, Caiming Xiong, Richard Socher:
A Closer Look at Deep Learning Heuristics: Learning rate restarts, Warmup and Distillation. ICLR (Poster) 2019 - [c66]Ehsan Hosseini-Asl, Yingbo Zhou, Caiming Xiong, Richard Socher:
Augmented Cyclic Adversarial Learning for Low Resource Domain Adaptation. ICLR (Poster) 2019 - [c65]Hao Liu, Alexander Trott, Richard Socher, Caiming Xiong:
Competitive experience replay. ICLR (Poster) 2019 - [c64]Chih-Yao Ma, Jiasen Lu, Zuxuan Wu, Ghassan AlRegib, Zsolt Kira, Richard Socher, Caiming Xiong:
Self-Monitoring Navigation Agent via Auxiliary Progress Estimation. ICLR (Poster) 2019 - [c63]Chien-Sheng Wu, Richard Socher, Caiming Xiong:
Global-to-local Memory Pointer Networks for Task-Oriented Dialogue. ICLR (Poster) 2019 - [c62]Victor Zhong, Caiming Xiong, Nitish Shirish Keskar, Richard Socher:
Coarse-grain Fine-grain Coattention Network for Multi-evidence Question Answering. ICLR (Poster) 2019 - [c61]Xilai Li, Yingbo Zhou, Tianfu Wu, Richard Socher, Caiming Xiong:
Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting. ICML 2019: 3925-3934 - [c60]Hao Liu, Richard Socher, Caiming Xiong:
Taming MAML: Efficient unbiased meta-reinforcement learning. ICML 2019: 4061-4071 - [c59]Huan Wang, Stephan Zheng, Caiming Xiong, Richard Socher:
On the Generalization Gap in Reparameterizable Reinforcement Learning. ICML 2019: 6648-6658 - [c58]Alexander Trott, Stephan Zheng, Caiming Xiong, Richard Socher:
Keeping Your Distance: Solving Sparse Reward Tasks Using Self-Balancing Shaped Rewards. NeurIPS 2019: 10376-10386 - [c57]Giovanni Campagna, Silei Xu, Mehrad Moradshahi, Richard Socher, Monica S. Lam:
Genie: a generator of natural language semantic parsers for virtual assistant commands. PLDI 2019: 394-410 - [c56]Kazuma Hashimoto, Raffaella Buschiazzo, James Bradbury, Teresa Marshall, Richard Socher, Caiming Xiong:
A High-Quality Multilingual Dataset for Structured Documentation Translation. WMT (1) 2019: 116-127 - [i71]Victor Zhong, Caiming Xiong, Nitish Shirish Keskar, Richard Socher:
Coarse-grain Fine-grain Coattention Network for Multi-evidence Question Answering. CoRR abs/1901.00603 (2019) - [i70]Chih-Yao Ma, Jiasen Lu, Zuxuan Wu, Ghassan AlRegib, Zsolt Kira, Richard Socher, Caiming Xiong:
Self-Monitoring Navigation Agent via Auxiliary Progress Estimation. CoRR abs/1901.03035 (2019) - [i69]Chien-Sheng Wu, Richard Socher, Caiming Xiong:
Global-to-local Memory Pointer Networks for Task-Oriented Dialogue. CoRR abs/1901.04713 (2019) - [i68]Hao Liu, Alexander Trott, Richard Socher, Caiming Xiong:
Competitive Experience Replay. CoRR abs/1902.00528 (2019) - [i67]Mingfei Gao, Mingze Xu, Larry S. Davis, Richard Socher, Caiming Xiong:
StartNet: Online Detection of Action Start in Untrimmed Videos. CoRR abs/1903.09868 (2019) - [i66]Xilai Li, Yingbo Zhou, Tianfu Wu, Richard Socher, Caiming Xiong:
Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting. CoRR abs/1904.00310 (2019) - [i65]Giovanni Campagna, Silei Xu, Mehrad Moradshahi, Richard Socher, Monica S. Lam:
Genie: A Generator of Natural Language Semantic Parsers for Virtual Assistant Commands. CoRR abs/1904.09020 (2019) - [i64]Nitish Shirish Keskar, Bryan McCann, Caiming Xiong, Richard Socher:
Unifying Question Answering and Text Classification via Span Extraction. CoRR abs/1904.09286 (2019) - [i63]Chien-Sheng Wu, Andrea Madotto, Ehsan Hosseini-Asl, Caiming Xiong, Richard Socher, Pascale Fung:
Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems. CoRR abs/1905.08743 (2019) - [i62]Jasdeep Singh, Bryan McCann, Nitish Shirish Keskar, Caiming Xiong, Richard Socher:
XLDA: Cross-Lingual Data Augmentation for Natural Language Inference and Question Answering. CoRR abs/1905.11471 (2019) - [i61]Huan Wang, Stephan Zheng, Caiming Xiong, Richard Socher:
On the Generalization Gap in Reparameterizable Reinforcement Learning. CoRR abs/1905.12654 (2019) - [i60]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:
SParC: Cross-Domain Semantic Parsing in Context. CoRR abs/1906.02285 (2019) - [i59]Nazneen Fatema Rajani, Bryan McCann, Caiming Xiong, Richard Socher:
Explain Yourself! Leveraging Language Models for Commonsense Reasoning. CoRR abs/1906.02361 (2019) - [i58]Wenling Shang, Alexander Trott, Stephan Zheng, Caiming Xiong, Richard Socher:
Learning World Graphs to Accelerate Hierarchical Reinforcement Learning. CoRR abs/1907.00664 (2019) - [i57]Wojciech Kryscinski, Nitish Shirish Keskar, Bryan McCann, Caiming Xiong, Richard Socher:
Neural Text Summarization: A Critical Evaluation. CoRR abs/1908.08960 (2019) - [i56]Mingfei Gao, Larry S. Davis, Richard Socher, Caiming Xiong:
WSLLN: Weakly Supervised Natural Language Localization Networks. CoRR abs/1909.00239 (2019) - [i55]Rui Zhang, Tao Yu, Heyang Er, Sungrok Shim, Eric Xue, Xi Victoria Lin, Tianze Shi, Caiming Xiong, Richard Socher, Dragomir R. Radev:
Editing-Based SQL Query Generation for Cross-Domain Context-Dependent Questions. CoRR abs/1909.00786 (2019) - [i54]Tong Niu, Caiming Xiong, Richard Socher:
Deleter: Leveraging BERT to Perform Unsupervised Successive Text Compression. CoRR abs/1909.03223 (2019) - [i53]Lav R. Varshney, Nitish Shirish Keskar, Richard Socher:
Pretrained AI Models: Performativity, Mobility, and Change. CoRR abs/1909.03290 (2019) - [i52]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:
CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases. CoRR abs/1909.05378 (2019) - [i51]Nitish Shirish Keskar, Bryan McCann, Lav R. Varshney, Caiming Xiong, Richard Socher:
CTRL: A Conditional Transformer Language Model for Controllable Generation. CoRR abs/1909.05858 (2019) - [i50]Devansh Arpit, Caiming Xiong, Richard Socher:
Entropy Penalty: Towards Generalization Beyond the IID Assumption. CoRR abs/1910.00164 (2019) - [i49]Jianguo Zhang, Kazuma Hashimoto, Chien-Sheng Wu, Yao Wan, Philip S. Yu, Richard Socher, Caiming Xiong:
Find or Classify? Dual Strategy for Slot-Value Predictions on Multi-Domain Dialog State Tracking. CoRR abs/1910.03544 (2019) - [i48]Ryan Theisen, Jason M. Klusowski, Huan Wang, Nitish Shirish Keskar, Caiming Xiong, Richard Socher:
Global Capacity Measures for Deep ReLU Networks via Path Sampling. CoRR abs/1910.10245 (2019) - [i47]Wojciech Kryscinski, Bryan McCann, Caiming Xiong, Richard Socher:
Evaluating the Factual Consistency of Abstractive Text Summarization. CoRR abs/1910.12840 (2019) - [i46]Michael Shum, Stephan Zheng, Wojciech Kryscinski, Caiming Xiong, Richard Socher:
Sketch-Fill-A-R: A Persona-Grounded Chit-Chat Generation Framework. CoRR abs/1910.13008 (2019) - [i45]Alexander Trott, Stephan Zheng, Caiming Xiong, Richard Socher:
Keeping Your Distance: Solving Sparse Reward Tasks Using Self-Balancing Shaped Rewards. CoRR abs/1911.01417 (2019) - [i44]Jay DeYoung, Sarthak Jain, Nazneen Fatema Rajani, Eric Lehman, Caiming Xiong, Richard Socher, Byron C. Wallace:
ERASER: A Benchmark to Evaluate Rationalized NLP Models. CoRR abs/1911.03429 (2019) - [i43]Linqing Liu, Huan Wang, Jimmy Lin, Richard Socher, Caiming Xiong:
Attentive Student Meets Multi-Task Teacher: Improved Knowledge Distillation for Pretrained Models. CoRR abs/1911.03588 (2019) - [i42]Akari Asai, Kazuma Hashimoto, Hannaneh Hajishirzi, Richard Socher, Caiming Xiong:
Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering. CoRR abs/1911.10470 (2019) - [i41]Hengduo Li, Zuxuan Wu, Chen Zhu, Caiming Xiong, Richard Socher, Larry S. Davis:
Learning from Noisy Anchors for One-stage Object Detection. CoRR abs/1912.05086 (2019) - 2018
- [c55]Victor Zhong, Caiming Xiong, Richard Socher:
Global-Locally Self-Attentive Encoder for Dialogue State Tracking. ACL (1) 2018: 1458-1467 - [c54]Sewon Min, Victor Zhong, Richard Socher, Caiming Xiong:
Efficient and Robust Question Answering from Minimal Context over Documents. ACL (1) 2018: 1725-1735 - [c53]Luowei Zhou, Yingbo Zhou, Jason J. Corso, Richard Socher, Caiming Xiong:
End-to-End Dense Video Captioning With Masked Transformer. CVPR 2018: 8739-8748 - [c52]Wojciech Kryscinski, Romain Paulus, Caiming Xiong, Richard Socher:
Improving Abstraction in Text Summarization. EMNLP 2018: 1808-1817 - [c51]Xi Victoria Lin, Richard Socher, Caiming Xiong:
Multi-Hop Knowledge Graph Reasoning with Reward Shaping. EMNLP 2018: 3243-3253 - [c50]Yingbo Zhou, Caiming Xiong, Richard Socher:
Improving End-to-End Speech Recognition with Policy Learning. ICASSP 2018: 5819-5823 - [c49]Jiatao Gu, James Bradbury, Caiming Xiong, Victor O. K. Li, Richard Socher:
Non-Autoregressive Neural Machine Translation. ICLR (Poster) 2018 - [c48]Stephen Merity, Nitish Shirish Keskar, Richard Socher:
Regularizing and Optimizing LSTM Language Models. ICLR (Poster) 2018 - [c47]Romain Paulus, Caiming Xiong, Richard Socher:
A Deep Reinforced Model for Abstractive Summarization. ICLR (Poster) 2018 - [c46]Martin Schrimpf, Stephen Merity, James Bradbury, Richard Socher:
A Flexible Approach to Automated RNN Architecture Generation. ICLR (Workshop) 2018 - [c45]Tianmin Shu, Caiming Xiong, Richard Socher:
Hierarchical and Interpretable Skill Acquisition in Multi-task Reinforcement Learning. ICLR (Poster) 2018 - [c44]Alexander Trott, Caiming Xiong, Richard Socher:
Interpretable Counting for Visual Question Answering. ICLR (Poster) 2018 - [c43]Caiming Xiong, Victor Zhong, Richard Socher:
DCN+: Mixed Objective And Deep Residual Coattention for Question Answering. ICLR (Poster) 2018 - [c42]Ehsan Hosseini-Asl, Yingbo Zhou, Caiming Xiong, Richard Socher:
A Multi-Discriminator CycleGAN for Unsupervised Non-Parallel Speech Domain Adaptation. INTERSPEECH 2018: 3758-3762 - [i40]Stephen Merity, Nitish Shirish Keskar, Richard Socher:
An Analysis of Neural Language Modeling at Multiple Scales. CoRR abs/1803.08240 (2018) - [i39]Ehsan Hosseini-Asl, Yingbo Zhou, Caiming Xiong, Richard Socher:
A Multi-Discriminator CycleGAN for Unsupervised Non-Parallel Speech Domain Adaptation. CoRR abs/1804.00522 (2018) - [i38]Luowei Zhou, Yingbo Zhou, Jason J. Corso, Richard Socher, Caiming Xiong:
End-to-End Dense Video Captioning with Masked Transformer. CoRR abs/1804.00819 (2018) - [i37]Sewon Min, Victor Zhong, Richard Socher, Caiming Xiong:
Efficient and Robust Question Answering from Minimal Context over Documents. CoRR abs/1805.08092 (2018) - [i36]Victor Zhong, Caiming Xiong, Richard Socher:
Global-Locally Self-Attentive Dialogue State Tracker. CoRR abs/1805.09655 (2018) - [i35]Akhilesh Gotmare, Nitish Shirish Keskar, Caiming Xiong, Richard Socher:
Using Mode Connectivity for Loss Landscape Analysis. CoRR abs/1806.06977 (2018) - [i34]Bryan McCann, Nitish Shirish Keskar, Caiming Xiong, Richard Socher:
The Natural Language Decathlon: Multitask Learning as Question Answering. CoRR abs/1806.08730 (2018) - [i33]Ehsan Hosseini-Asl, Yingbo Zhou, Caiming Xiong, Richard Socher:
Augmented Cyclic Adversarial Learning for Domain Adaptation. CoRR abs/1807.00374 (2018) - [i32]Wojciech Kryscinski, Romain Paulus, Caiming Xiong, Richard Socher:
Improving Abstraction in Text Summarization. CoRR abs/1808.07913 (2018) - [i31]Xi Victoria Lin, Richard Socher, Caiming Xiong:
Multi-Hop Knowledge Graph Reasoning with Reward Shaping. CoRR abs/1808.10568 (2018) - [i30]Huan Wang, Nitish Shirish Keskar, Caiming Xiong, Richard Socher:
Identifying Generalization Properties in Neural Networks. CoRR abs/1809.07402 (2018) - [i29]Akhilesh Gotmare, Nitish Shirish Keskar, Caiming Xiong, Richard Socher:
A Closer Look at Deep Learning Heuristics: Learning rate restarts, Warmup and Distillation. CoRR abs/1810.13243 (2018) - [i28]Zuxuan Wu, Caiming Xiong, Chih-Yao Ma, Richard Socher, Larry S. Davis:
AdaFrame: Adaptive Frame Selection for Fast Video Recognition. CoRR abs/1811.12432 (2018) - 2017
- [c41]Jiasen Lu, Caiming Xiong, Devi Parikh, Richard Socher:
Knowing When to Look: Adaptive Attention via a Visual Sentinel for Image Captioning. CVPR 2017: 3242-3250 - [c40]James Bradbury, Richard Socher:
Towards Neural Machine Translation with Latent Tree Attention. SPNLP@EMNLP 2017: 12-16 - [c39]Kazuma Hashimoto, Caiming Xiong, Yoshimasa Tsuruoka, Richard Socher:
A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks. EMNLP 2017: 1923-1933 - [c38]James Bradbury, Stephen Merity, Caiming Xiong, Richard Socher:
Quasi-Recurrent Neural Networks. ICLR (Poster) 2017 - [c37]Hakan Inan, Khashayar Khosravi, Richard Socher:
Tying Word Vectors and Word Classifiers: A Loss Framework for Language Modeling. ICLR (Poster) 2017 - [c36]Stephen Merity, Caiming Xiong, James Bradbury, Richard Socher:
Pointer Sentinel Mixture Models. ICLR (Poster) 2017 - [c35]Caiming Xiong, Victor Zhong, Richard Socher:
Dynamic Coattention Networks For Question Answering. ICLR (Poster) 2017 - [c34]Bryan McCann, James Bradbury, Caiming Xiong, Richard Socher:
Learned in Translation: Contextualized Word Vectors. NIPS 2017: 6294-6305 - [c33]Alexander Rosenberg Johansen, Richard Socher:
Learning when to skim and when to read. Rep4NLP@ACL 2017: 257-264 - [i27]Romain Paulus, Caiming Xiong, Richard Socher:
A Deep Reinforced Model for Abstractive Summarization. CoRR abs/1705.04304 (2017) - [i26]Bryan McCann, James Bradbury, Caiming Xiong, Richard Socher:
Learned in Translation: Contextualized Word Vectors. CoRR abs/1708.00107 (2017) - [i25]Stephen Merity, Bryan McCann, Richard Socher:
Revisiting Activation Regularization for Language RNNs. CoRR abs/1708.01009 (2017) - [i24]Stephen Merity, Nitish Shirish Keskar, Richard Socher:
Regularizing and Optimizing LSTM Language Models. CoRR abs/1708.02182 (2017) - [i23]Victor Zhong, Caiming Xiong, Richard Socher:
Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning. CoRR abs/1709.00103 (2017) - [i22]James Bradbury, Richard Socher:
Towards Neural Machine Translation with Latent Tree Attention. CoRR abs/1709.01915 (2017) - [i21]Caiming Xiong, Victor Zhong, Richard Socher:
DCN+: Mixed Objective and Deep Residual Coattention for Question Answering. CoRR abs/1711.00106 (2017) - [i20]Karim Ahmed, Nitish Shirish Keskar, Richard Socher:
Weighted Transformer Network for Machine Translation. CoRR abs/1711.02132 (2017) - [i19]Jiatao Gu, James Bradbury, Caiming Xiong, Victor O. K. Li, Richard Socher:
Non-Autoregressive Neural Machine Translation. CoRR abs/1711.02281 (2017) - [i18]Alexander Rosenberg Johansen, Richard Socher:
Learning when to skim and when to read. CoRR abs/1712.05483 (2017) - [i17]Yingbo Zhou, Caiming Xiong, Richard Socher:
Improving End-to-End Speech Recognition with Policy Learning. CoRR abs/1712.07101 (2017) - [i16]Yingbo Zhou, Caiming Xiong, Richard Socher:
Improved Regularization Techniques for End-to-End Speech Recognition. CoRR abs/1712.07108 (2017) - [i15]Tianmin Shu, Caiming Xiong, Richard Socher:
Hierarchical and Interpretable Skill Acquisition in Multi-task Reinforcement Learning. CoRR abs/1712.07294 (2017) - [i14]Huishuai Zhang, Caiming Xiong, James Bradbury, Richard Socher:
Block-diagonal Hessian-free Optimization for Training Neural Networks. CoRR abs/1712.07296 (2017) - [i13]Martin Schrimpf, Stephen Merity, James Bradbury, Richard Socher:
A Flexible Approach to Automated RNN Architecture Generation. CoRR abs/1712.07316 (2017) - [i12]Nitish Shirish Keskar, Richard Socher:
Improving Generalization Performance by Switching from Adam to SGD. CoRR abs/1712.07628 (2017) - [i11]Alexander Trott, Caiming Xiong, Richard Socher:
Interpretable Counting for Visual Question Answering. CoRR abs/1712.08697 (2017) - 2016
- [c32]Ankit Kumar, Ozan Irsoy, Peter Ondruska, Mohit Iyyer, James Bradbury, Ishaan Gulrajani, Victor Zhong, Romain Paulus, Richard Socher:
Ask Me Anything: Dynamic Memory Networks for Natural Language Processing. ICML 2016: 1378-1387 - [c31]Caiming Xiong, Stephen Merity, Richard Socher:
Dynamic Memory Networks for Visual and Textual Question Answering. ICML 2016: 2397-2406 - [c30]Richard Socher:
Deep Learning for Sentiment Analysis - Invited Talk. WASSA@NAACL-HLT 2016: 36 - [c29]James Bradbury, Richard Socher:
MetaMind Neural Machine Translation System for WMT 2016. WMT 2016: 264-267 - [i10]Caiming Xiong, Stephen Merity, Richard Socher:
Dynamic Memory Networks for Visual and Textual Question Answering. CoRR abs/1603.01417 (2016) - [i9]Stephen Merity, Caiming Xiong, James Bradbury, Richard Socher:
Pointer Sentinel Mixture Models. CoRR abs/1609.07843 (2016) - [i8]Hakan Inan, Khashayar Khosravi, Richard Socher:
Tying Word Vectors and Word Classifiers: A Loss Framework for Language Modeling. CoRR abs/1611.01462 (2016) - [i7]James Bradbury, Stephen Merity, Caiming Xiong, Richard Socher:
Quasi-Recurrent Neural Networks. CoRR abs/1611.01576 (2016) - [i6]Kazuma Hashimoto, Caiming Xiong, Yoshimasa Tsuruoka, Richard Socher:
A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks. CoRR abs/1611.01587 (2016) - [i5]Caiming Xiong, Victor Zhong, Richard Socher:
Dynamic Coattention Networks For Question Answering. CoRR abs/1611.01604 (2016) - [i4]Shayne Longpre, Sabeek Pradhan, Caiming Xiong, Richard Socher:
A Way out of the Odyssey: Analyzing and Combining Recent Insights for LSTMs. CoRR abs/1611.05104 (2016) - [i3]Jiasen Lu, Caiming Xiong, Devi Parikh, Richard Socher:
Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning. CoRR abs/1612.01887 (2016) - 2015
- [c28]Kai Sheng Tai, Richard Socher, Christopher D. Manning:
Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks. ACL (1) 2015: 1556-1566 - [i2]Kai Sheng Tai, Richard Socher, Christopher D. Manning:
Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks. CoRR abs/1503.00075 (2015) - [i1]Ankit Kumar, Ozan Irsoy, Jonathan Su, James Bradbury, Robert English, Brian Pierce, Peter Ondruska, Ishaan Gulrajani, Richard Socher:
Ask Me Anything: Dynamic Memory Networks for Natural Language Processing. CoRR abs/1506.07285 (2015) - 2014
- [b1]Richard Socher:
Recursive deep learning for natural language processing and computer vision. Stanford University, USA, 2014 - [j1]Richard Socher, Andrej Karpathy, Quoc V. Le, Christopher D. Manning, Andrew Y. Ng:
Grounded Compositional Semantics for Finding and Describing Images with Sentences. Trans. Assoc. Comput. Linguistics 2: 207-218 (2014) - [c27]Mohit Iyyer, Jordan L. Boyd-Graber, Leonardo Max Batista Claudino, Richard Socher, Hal Daumé III:
A Neural Network for Factoid Question Answering over Paragraphs. EMNLP 2014: 633-644 - [c26]Jeffrey Pennington, Richard Socher, Christopher D. Manning:
Glove: Global Vectors for Word Representation. EMNLP 2014: 1532-1543 - [c25]Chinmay Eishan Kulkarni, Richard Socher, Michael S. Bernstein, Scott R. Klemmer:
Scaling short-answer grading by combining peer assessment with algorithmic scoring. L@S 2014: 99-108 - [c24]Romain Paulus, Richard Socher, Christopher D. Manning:
Global Belief Recursive Neural Networks. NIPS 2014: 2888-2896 - 2013
- [c23]Richard Socher, John Bauer, Christopher D. Manning, Andrew Y. Ng:
Parsing with Compositional Vector Grammars. ACL (1) 2013: 455-465 - [c22]Thang Luong, Richard Socher, Christopher D. Manning:
Better Word Representations with Recursive Neural Networks for Morphology. CoNLL 2013: 104-113 - [c21]Will Y. Zou, Richard Socher, Daniel M. Cer, Christopher D. Manning:
Bilingual Word Embeddings for Phrase-Based Machine Translation. EMNLP 2013: 1393-1398 - [c20]Richard Socher, Alex Perelygin, Jean Wu, Jason Chuang, Christopher D. Manning, Andrew Y. Ng, Christopher Potts:
Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank. EMNLP 2013: 1631-1642 - [c19]Richard Socher, Christopher D. Manning:
Deep Learning for NLP (without Magic). HLT-NAACL 2013: 1-3 - [c18]Richard Socher, Danqi Chen, Christopher D. Manning, Andrew Y. Ng:
Reasoning With Neural Tensor Networks for Knowledge Base Completion. NIPS 2013: 926-934 - [c17]Richard Socher, Milind Ganjoo, Christopher D. Manning, Andrew Y. Ng:
Zero-Shot Learning Through Cross-Modal Transfer. NIPS 2013: 935-943 - [c16]Danqi Chen, Richard Socher, Christopher D. Manning, Andrew Y. Ng:
Learning New Facts From Knowledge Bases With Neural Tensor Networks and Semantic Word Vectors. ICLR (Workshop Poster) 2013 - [c15]Richard Socher, Milind Ganjoo, Hamsa Sridhar, Osbert Bastani, Christopher D. Manning, Andrew Y. Ng:
Zero-Shot Learning Through Cross-Modal Transfer. ICLR (Workshop) 2013 - [e1]Alexandre Allauzen, Hugo Larochelle, Christopher D. Manning, Richard Socher:
Proceedings of the Workshop on Continuous Vector Space Models and their Compositionality, CVSM@ACL 2013, Sofia, Bulgaria, August 9, 2013. Association for Computational Linguistics 2013, ISBN 978-1-937284-67-1 [contents] - 2012
- [c14]Richard Socher, Yoshua Bengio, Christopher D. Manning:
Deep Learning for NLP (without Magic). ACL (Tutorial Abstracts) 2012: 5 - [c13]Eric H. Huang, Richard Socher, Christopher D. Manning, Andrew Y. Ng:
Improving Word Representations via Global Context and Multiple Word Prototypes. ACL (1) 2012: 873-882 - [c12]Richard Socher, Brody Huval, Christopher D. Manning, Andrew Y. Ng:
Semantic Compositionality through Recursive Matrix-Vector Spaces. EMNLP-CoNLL 2012: 1201-1211 - [c11]Richard Socher, Brody Huval, Bharath Putta Bath, Christopher D. Manning, Andrew Y. Ng:
Convolutional-Recursive Deep Learning for 3D Object Classification. NIPS 2012: 665-673 - 2011
- [c10]Richard Socher, Jeffrey Pennington, Eric H. Huang, Andrew Y. Ng, Christopher D. Manning:
Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributions. EMNLP 2011: 151-161 - [c9]Richard Socher, Cliff Chiung-Yu Lin, Andrew Y. Ng, Christopher D. Manning:
Parsing Natural Scenes and Natural Language with Recursive Neural Networks. ICML 2011: 129-136 - [c8]Richard Socher, Eric H. Huang, Jeffrey Pennington, Andrew Y. Ng, Christopher D. Manning:
Dynamic Pooling and Unfolding Recursive Autoencoders for Paraphrase Detection. NIPS 2011: 801-809 - [c7]Richard Socher, Andrew L. Maas, Christopher D. Manning:
Spectral Chinese Restaurant Processes: Nonparametric Clustering Based on Similarities. AISTATS 2011: 698-706 - 2010
- [c6]Richard Socher, Li Fei-Fei:
Connecting modalities: Semi-supervised segmentation and annotation of images using unaligned text corpora. CVPR 2010: 966-973
2000 – 2009
- 2009
- [c5]Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, Li Fei-Fei:
ImageNet: A large-scale hierarchical image database. CVPR 2009: 248-255 - [c4]Li-Jia Li, Richard Socher, Li Fei-Fei:
Towards total scene understanding: Classification, annotation and segmentation in an automatic framework. CVPR 2009: 2036-2043 - [c3]Richard Socher, Samuel Gershman, Adler J. Perotte, Per B. Sederberg, David M. Blei, Kenneth A. Norman:
A Bayesian Analysis of Dynamics in Free Recall. NIPS 2009: 1714-1722 - 2008
- [c2]Richard Socher, Adrian Barbu, Dorin Comaniciu:
A learning based hierarchical model for vessel segmentation. ISBI 2008: 1055-1058 - 2007
- [c1]Richard Socher, Chris Biemann, Rainer Osswald:
Combining Contexts in Lexicon Learning for Semantic Parsing. NODALIDA 2007: 175-182
Coauthor Index
Steven C. H. Hoi
aka: Steven Chu-Hong Hoi
aka: Steven Chu-Hong Hoi
Dragomir R. Radev
aka: Dragomir Radev
aka: Dragomir Radev
[i111] [j2] [c111] [c109] [c108] [c107] [c106] [c105] [i110] [c104] [c103] [c101] [c100] [c99] [c98] [c97] [c96] [c95] [c94] [c93] [c92] [c91] [c90] [c89] [c85] [c84] [c82] [c80] [c79] [c78] [i107] [i106] [i102] [i101] [i98] [i96] [i93] [i92] [i91] [i89] [i88] [i87] [i86] [i85] [i84] [i83] [i80] [i79] [i78] [i76] [i75] [i74] [i73] [i72] [c77] [c76] [c75] [c74] [c73] [c72] [c71] [c70] [c69] [c68] [c67] [c66] [c65] [c64] [c63] [c62] [c61] [c60] [c59] [c58] [c56] [i71] [i70] [i69] [i68] [i67] [i66] [i64] [i63] [i62] [i61] [i60] [i59] [i58] [i57] [i56] [i55] [i54] [i52] [i51] [i50] [i49] [i48] [i47] [i46] [i45] [i44] [i43] [i42] [i41] [c55] [c54] [c53] [c52] [c51] [c50] [c49] [c47] [c45] [c44] [c43] [c42] [i39] [i38] [i37] [i36] [i35] [i34] [i33] [i32] [i31] [i30] [i29] [i28] [c41] [c39] [c38] [c36] [c35] [c34] [i27] [i26] [i23] [i21] [i19] [i17] [i16] [i15] [i14] [i11] [c31] [i10] [i9] [i7] [i6] [i5] [i4] [i3]
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