Combining Contexts in Lexicon Learning for Semantic Parsing. - Richard Socher; Chris Biemann; Rainer Osswald (NODALIDA, 2007)

A learning based hierarchical model for vessel segmentation. - Richard Socher; Adrian Barbu; Dorin Comaniciu (ISBI, 2008)

ImageNet: A large-scale hierarchical image database. - Jia Deng 001; Wei Dong 003; Richard Socher; Li-Jia Li 001; Kai Li 001; Li Fei-Fei 001 (CVPR, 2009)

Towards total scene understanding: Classification, annotation and segmentation in an automatic framework. - Li-Jia Li 001; Richard Socher; Li Fei-Fei 001 (CVPR, 2009)

A Bayesian Analysis of Dynamics in Free Recall. - Richard Socher; Samuel Gershman; Adler J. Perotte; Per B. Sederberg; David M. Blei; Kenneth A. Norman (NIPS, 2009)

Connecting modalities: Semi-supervised segmentation and annotation of images using unaligned text corpora. - Richard Socher; Li Fei-Fei 001 (CVPR, 2010)

Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributions. - Richard Socher; Jeffrey Pennington; Eric H. Huang; Andrew Y. Ng; Christopher D. Manning (EMNLP, 2011)

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

Dynamic Pooling and Unfolding Recursive Autoencoders for Paraphrase Detection. - Richard Socher; Eric H. Huang; Jeffrey Pennington; Andrew Y. Ng; Christopher D. Manning (NIPS, 2011)

Spectral Chinese Restaurant Processes: Nonparametric Clustering Based on Similarities. - Richard Socher; Andrew L. Maas; Christopher D. Manning (AISTATS, 2011)

Improving Word Representations via Global Context and Multiple Word Prototypes. - Eric H. Huang; Richard Socher; Christopher D. Manning; Andrew Y. Ng (ACL (1), 2012)

Deep Learning for NLP (without Magic). - Richard Socher; Yoshua Bengio; Christopher D. Manning (ACL (Tutorial Abstracts), 2012)

Semantic Compositionality through Recursive Matrix-Vector Spaces. - Richard Socher; Brody Huval; Christopher D. Manning; Andrew Y. Ng (EMNLP-CoNLL, 2012)

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

Parsing with Compositional Vector Grammars. - Richard Socher; John Bauer; Christopher D. Manning; Andrew Y. Ng (ACL (1), 2013)

Better Word Representations with Recursive Neural Networks for Morphology. - Thang Luong; Richard Socher; Christopher D. Manning (CoNLL, 2013)

Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank. - Richard Socher; Alex Perelygin; Jean Wu; Jason Chuang; Christopher D. Manning; Andrew Y. Ng; Christopher Potts (EMNLP, 2013)

Bilingual Word Embeddings for Phrase-Based Machine Translation. - Will Y. Zou; Richard Socher; Daniel M. Cer; Christopher D. Manning (EMNLP, 2013)

Deep Learning for NLP (without Magic). - Richard Socher; Christopher D. Manning (HLT-NAACL, 2013)

Reasoning With Neural Tensor Networks for Knowledge Base Completion. - Richard Socher; Danqi Chen 001; Christopher D. Manning; Andrew Y. Ng (NIPS, 2013)

Zero-Shot Learning Through Cross-Modal Transfer. - Richard Socher; Milind Ganjoo; Christopher D. Manning; Andrew Y. Ng (NIPS, 2013)

Learning New Facts From Knowledge Bases With Neural Tensor Networks and Semantic Word Vectors - Danqi Chen 001; Richard Socher; Christopher D. Manning; Andrew Y. Ng (ICLR (Workshop Poster), 2013)

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

A Neural Network for Factoid Question Answering over Paragraphs. - Mohit Iyyer; Jordan L. Boyd-Graber; Leonardo Max Batista Claudino; Richard Socher; Hal Daumé III (EMNLP, 2014)

Glove: Global Vectors for Word Representation. - Jeffrey Pennington; Richard Socher; Christopher D. Manning (EMNLP, 2014)

Scaling short-answer grading by combining peer assessment with algorithmic scoring. - Chinmay Eishan Kulkarni; Richard Socher; Michael S. Bernstein; Scott R. Klemmer (L@S, 2014)

Global Belief Recursive Neural Networks. - Romain Paulus; Richard Socher; Christopher D. Manning (NIPS, 2014)

Grounded Compositional Semantics for Finding and Describing Images with Sentences. - Richard Socher; Andrej Karpathy; Quoc V. Le; Christopher D. Manning; Andrew Y. Ng (Trans. Assoc. Comput. Linguistics, 2014)

Recursive deep learning for natural language processing and computer vision. - Richard Socher (2014)

Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks. - Kai Sheng Tai; Richard Socher; Christopher D. Manning (ACL (1), 2015)

Ask Me Anything: Dynamic Memory Networks for Natural Language Processing. - Ankit Kumar; Ozan Irsoy; Peter Ondruska; Mohit Iyyer; James Bradbury 002; 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 (ICML, 2016)

Deep Learning for Sentiment Analysis - Invited Talk. - Richard Socher (WASSA@NAACL-HLT, 2016)

MetaMind Neural Machine Translation System for WMT 2016. - James Bradbury 002; Richard Socher (WMT, 2016)

A Way out of the Odyssey: Analyzing and Combining Recent Insights for LSTMs. - Shayne Longpre; Sabeek Pradhan; Caiming Xiong; Richard Socher (CoRR, 2016)

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

Towards Neural Machine Translation with Latent Tree Attention. - James Bradbury 002; Richard Socher (SPNLP@EMNLP, 2017)

A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks. - Kazuma Hashimoto; Caiming Xiong; Yoshimasa Tsuruoka; Richard Socher (EMNLP, 2017)

Quasi-Recurrent Neural Networks. - James Bradbury 002; Stephen Merity; Caiming Xiong; Richard Socher (ICLR (Poster), 2017)

Tying Word Vectors and Word Classifiers: A Loss Framework for Language Modeling. - Hakan Inan; Khashayar Khosravi; Richard Socher (ICLR (Poster), 2017)

Pointer Sentinel Mixture Models. - Stephen Merity; Caiming Xiong; James Bradbury 002; Richard Socher (ICLR (Poster), 2017)

Dynamic Coattention Networks For Question Answering. - Caiming Xiong; Victor Zhong; Richard Socher (ICLR (Poster), 2017)

Learned in Translation: Contextualized Word Vectors. - Bryan McCann; James Bradbury 002; Caiming Xiong; Richard Socher (NIPS, 2017)

Learning when to skim and when to read. - Alexander Rosenberg Johansen; Richard Socher (Rep4NLP@ACL, 2017)

Revisiting Activation Regularization for Language RNNs. - Stephen Merity; Bryan McCann; Richard Socher (CoRR, 2017)

Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning. - Victor Zhong; Caiming Xiong; Richard Socher (CoRR, 2017)

Weighted Transformer Network for Machine Translation. - Karim Ahmed; Nitish Shirish Keskar; Richard Socher (CoRR, 2017)

Improved Regularization Techniques for End-to-End Speech Recognition. - Yingbo Zhou; Caiming Xiong; Richard Socher (CoRR, 2017)

Block-diagonal Hessian-free Optimization for Training Neural Networks. - Huishuai Zhang; Caiming Xiong; James Bradbury 002; Richard Socher (CoRR, 2017)

Improving Generalization Performance by Switching from Adam to SGD. - Nitish Shirish Keskar; Richard Socher (CoRR, 2017)

Global-Locally Self-Attentive Encoder for Dialogue State Tracking. - Victor Zhong; Caiming Xiong; Richard Socher (ACL (1), 2018)

Efficient and Robust Question Answering from Minimal Context over Documents. - Sewon Min; Victor Zhong; Richard Socher; Caiming Xiong (ACL (1), 2018)

End-to-End Dense Video Captioning With Masked Transformer. - Luowei Zhou; Yingbo Zhou; Jason J. Corso; Richard Socher; Caiming Xiong (CVPR, 2018)

Improving Abstraction in Text Summarization. - Wojciech Kryscinski; Romain Paulus; Caiming Xiong; Richard Socher (EMNLP, 2018)

Multi-Hop Knowledge Graph Reasoning with Reward Shaping. - Xi Victoria Lin; Richard Socher; Caiming Xiong (EMNLP, 2018)

Improving End-to-End Speech Recognition with Policy Learning. - Yingbo Zhou; Caiming Xiong; Richard Socher (ICASSP, 2018)

Non-Autoregressive Neural Machine Translation. - Jiatao Gu; James Bradbury 002; Caiming Xiong; Victor O. K. Li; Richard Socher (ICLR (Poster), 2018)

Regularizing and Optimizing LSTM Language Models. - Stephen Merity; Nitish Shirish Keskar; Richard Socher (ICLR (Poster), 2018)

A Deep Reinforced Model for Abstractive Summarization. - Romain Paulus; Caiming Xiong; Richard Socher (ICLR (Poster), 2018)

A Flexible Approach to Automated RNN Architecture Generation. - Martin Schrimpf; Stephen Merity; James Bradbury 002; Richard Socher (ICLR (Workshop), 2018)

Hierarchical and Interpretable Skill Acquisition in Multi-task Reinforcement Learning. - Tianmin Shu; Caiming Xiong; Richard Socher (ICLR (Poster), 2018)

Interpretable Counting for Visual Question Answering. - Alexander Trott; Caiming Xiong; Richard Socher (ICLR (Poster), 2018)

DCN+: Mixed Objective And Deep Residual Coattention for Question Answering. - Caiming Xiong; Victor Zhong; Richard Socher (ICLR (Poster), 2018)

A Multi-Discriminator CycleGAN for Unsupervised Non-Parallel Speech Domain Adaptation. - Ehsan Hosseini-Asl; Yingbo Zhou; Caiming Xiong; Richard Socher (INTERSPEECH, 2018)

An Analysis of Neural Language Modeling at Multiple Scales. - Stephen Merity; Nitish Shirish Keskar; Richard Socher (CoRR, 2018)

Global-Locally Self-Attentive Dialogue State Tracker. - Victor Zhong; Caiming Xiong; Richard Socher (CoRR, 2018)

Using Mode Connectivity for Loss Landscape Analysis. - Akhilesh Gotmare; Nitish Shirish Keskar; Caiming Xiong; Richard Socher (CoRR, 2018)

The Natural Language Decathlon: Multitask Learning as Question Answering. - Bryan McCann; Nitish Shirish Keskar; Caiming Xiong; Richard Socher (CoRR, 2018)

Augmented Cyclic Adversarial Learning for Domain Adaptation. - Ehsan Hosseini-Asl; Yingbo Zhou; Caiming Xiong; Richard Socher (CoRR, 2018)

Identifying Generalization Properties in Neural Networks. - Huan Wang 014; Nitish Shirish Keskar; Caiming Xiong; Richard Socher (CoRR, 2018)

BERT is Not an Interlingua and the Bias of Tokenization. - Jasdeep Singh; Bryan McCann; Richard Socher; Caiming Xiong (DeepLo@EMNLP-IJCNLP, 2019)

Explain Yourself! Leveraging Language Models for Commonsense Reasoning. - Nazneen Fatema Rajani; Bryan McCann; Caiming Xiong; Richard Socher (ACL (1), 2019)

Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems. - Chien-Sheng Wu; Andrea Madotto; Ehsan Hosseini-Asl; Caiming Xiong; Richard Socher; Pascale Fung (ACL (1), 2019)

SParC: Cross-Domain Semantic Parsing in Context. - Tao Yu 009; Rui Zhang 037; Michihiro Yasunaga; Yi Chern Tan; Xi Victoria Lin; Suyi Li 002; Heyang Er; Irene Li; Bo Pang 004; Tao Chen; Emily Ji; Shreya Dixit; et al. (ACL (1), 2019)

AdaFrame: Adaptive Frame Selection for Fast Video Recognition. - Zuxuan Wu; Caiming Xiong; Chih-Yao Ma; Richard Socher; Larry S. Davis (CVPR, 2019)

WSLLN: Weakly Supervised Natural Language Localization Networks. - Mingfei Gao; Larry Davis 001; Richard Socher; Caiming Xiong (EMNLP/IJCNLP (1), 2019)

Neural Text Summarization: A Critical Evaluation. - Wojciech Kryscinski; Nitish Shirish Keskar; Bryan McCann; Caiming Xiong; Richard Socher (EMNLP/IJCNLP (1), 2019)

CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases. - Tao Yu 009; Rui Zhang 037; Heyang Er; Suyi Li 002; Eric Xue 001; Bo Pang 004; Xi Victoria Lin; Yi Chern Tan; Tianze Shi; Zihan Li; Youxuan Jiang; Michihiro Yasunaga; et al. (EMNLP/IJCNLP (1), 2019)

Editing-Based SQL Query Generation for Cross-Domain Context-Dependent Questions. - Rui Zhang 037; Tao Yu 009; Heyang Er; Sungrok Shim; Eric Xue 001; Xi Victoria Lin; Tianze Shi; Caiming Xiong; Richard Socher; Dragomir R. Radev (EMNLP/IJCNLP (1), 2019)

StartNet: Online Detection of Action Start in Untrimmed Videos. - Mingfei Gao; Mingze Xu; Larry Davis 001; Richard Socher; Caiming Xiong (ICCV, 2019)

A Closer Look at Deep Learning Heuristics: Learning rate restarts, Warmup and Distillation. - Akhilesh Gotmare; Nitish Shirish Keskar; Caiming Xiong; Richard Socher (ICLR (Poster), 2019)

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

Competitive experience replay. - Hao Liu; Alexander Trott; Richard Socher; Caiming Xiong (ICLR (Poster), 2019)

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

Global-to-local Memory Pointer Networks for Task-Oriented Dialogue. - Chien-Sheng Wu; Richard Socher; Caiming Xiong (ICLR (Poster), 2019)

Coarse-grain Fine-grain Coattention Network for Multi-evidence Question Answering. - Victor Zhong; Caiming Xiong; Nitish Shirish Keskar; Richard Socher (ICLR (Poster), 2019)

Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting. - Xilai Li; Yingbo Zhou; Tianfu Wu 001; Richard Socher; Caiming Xiong (ICML, 2019)

Taming MAML: Efficient unbiased meta-reinforcement learning. - Hao Liu; Richard Socher; Caiming Xiong (ICML, 2019)

On the Generalization Gap in Reparameterizable Reinforcement Learning. - Huan Wang 014; Stephan Zheng; Caiming Xiong; Richard Socher (ICML, 2019)

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

Genie: a generator of natural language semantic parsers for virtual assistant commands. - Giovanni Campagna; Silei Xu; Mehrad Moradshahi; Richard Socher; Monica S. Lam (PLDI, 2019)

A High-Quality Multilingual Dataset for Structured Documentation Translation. - Kazuma Hashimoto; Raffaella Buschiazzo; James Bradbury 002; Teresa Marshall; Richard Socher; Caiming Xiong (WMT (1), 2019)

Unifying Question Answering and Text Classification via Span Extraction. - Nitish Shirish Keskar; Bryan McCann; Caiming Xiong; Richard Socher (CoRR, 2019)

XLDA: Cross-Lingual Data Augmentation for Natural Language Inference and Question Answering. - Jasdeep Singh; Bryan McCann; Nitish Shirish Keskar; Caiming Xiong; Richard Socher (CoRR, 2019)

Learning World Graphs to Accelerate Hierarchical Reinforcement Learning. - Wenling Shang; Alexander Trott; Stephan Zheng; Caiming Xiong; Richard Socher (CoRR, 2019)

Deleter: Leveraging BERT to Perform Unsupervised Successive Text Compression. - Tong Niu; Caiming Xiong; Richard Socher (CoRR, 2019)

Pretrained AI Models: Performativity, Mobility, and Change. - Lav R. Varshney; Nitish Shirish Keskar; Richard Socher (CoRR, 2019)

CTRL: A Conditional Transformer Language Model for Controllable Generation. - Nitish Shirish Keskar; Bryan McCann; Lav R. Varshney; Caiming Xiong; Richard Socher (CoRR, 2019)

Entropy Penalty: Towards Generalization Beyond the IID Assumption. - Devansh Arpit; Caiming Xiong; Richard Socher (CoRR, 2019)

Global Capacity Measures for Deep ReLU Networks via Path Sampling. - Ryan Theisen; Jason M. Klusowski; Huan Wang 014; Nitish Shirish Keskar; Caiming Xiong; Richard Socher (CoRR, 2019)

Sketch-Fill-A-R: A Persona-Grounded Chit-Chat Generation Framework. - Michael Shum; Stephan Zheng; Wojciech Kryscinski; Caiming Xiong; Richard Socher (CoRR, 2019)

Attentive Student Meets Multi-Task Teacher: Improved Knowledge Distillation for Pretrained Models. - Linqing Liu; Huan Wang 014; Jimmy Lin; Richard Socher; Caiming Xiong (CoRR, 2019)

ERASER: A Benchmark to Evaluate Rationalized NLP Models. - Jay DeYoung; Sarthak Jain; Nazneen Fatema Rajani; Eric Lehman; Caiming Xiong; Richard Socher; Byron C. Wallace (ACL, 2020)

Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading. - Yifan Gao 001; Chien-Sheng Wu; Shafiq R. Joty; Caiming Xiong; Richard Socher; Irwin King; Michael R. Lyu; Steven C. H. Hoi (ACL, 2020)

ESPRIT: Explaining Solutions to Physical Reasoning Tasks. - Nazneen Fatema Rajani; Rui Zhang 037; Yi Chern Tan; Stephan Zheng; Jeremy Weiss; Aadit Vyas; Abhijit Gupta; Caiming Xiong; Richard Socher; Dragomir R. Radev (ACL, 2020)

It's Morphin' Time! Combating Linguistic Discrimination with Inflectional Perturbations. - Samson Tan; Shafiq R. Joty; Min-Yen Kan; Richard Socher (ACL, 2020)

Photon: A Robust Cross-Domain Text-to-SQL System. - Jichuan Zeng; Xi Victoria Lin; Steven C. H. Hoi; Richard Socher; Caiming Xiong; Michael R. Lyu; Irwin King (ACL (demo), 2020)

Assessing Local Generalization Capability in Deep Models. - Huan Wang 014; Nitish Shirish Keskar; Caiming Xiong; Richard Socher (AISTATS, 2020)

Learning From Noisy Anchors for One-Stage Object Detection. - Hengduo Li; Zuxuan Wu; Chen Zhu 001; Caiming Xiong; Richard Socher; Larry S. Davis (CVPR, 2020)

The Thieves on Sesame Street are Polyglots - Extracting Multilingual Models from Monolingual APIs. - Nitish Shirish Keskar; Bryan McCann; Caiming Xiong; Richard Socher (EMNLP (1), 2020)

Evaluating the Factual Consistency of Abstractive Text Summarization. - Wojciech Kryscinski; Bryan McCann; Caiming Xiong; Richard Socher (EMNLP (1), 2020)

Bridging Textual and Tabular Data for Cross-Domain Text-to-SQL Semantic Parsing. - Xi Victoria Lin; Richard Socher; Caiming Xiong (EMNLP (Findings), 2020)

TOD-BERT: Pre-trained Natural Language Understanding for Task-Oriented Dialogue. - Chien-Sheng Wu; Steven C. H. Hoi; Richard Socher; Caiming Xiong (EMNLP (1), 2020)

Composed Variational Natural Language Generation for Few-shot Intents. - Congying Xia; Caiming Xiong; Philip S. Yu; Richard Socher (EMNLP (Findings), 2020)

Simple Data Augmentation with the Mask Token Improves Domain Adaptation for Dialog Act Tagging. - Semih Yavuz; Kazuma Hashimoto; Wenhao Liu 003; Nitish Shirish Keskar; Richard Socher; Caiming Xiong (EMNLP (1), 2020)

Universal Natural Language Processing with Limited Annotations: Try Few-shot Textual Entailment as a Start. - Wenpeng Yin 001; Nazneen Fatema Rajani; Dragomir R. Radev; Richard Socher; Caiming Xiong (EMNLP (1), 2020)

Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language Inference. - Jian-Guo Zhang 005; Kazuma Hashimoto; Wenhao Liu 003; Chien-Sheng Wu; Yao Wan 001; Philip S. Yu; Richard Socher; Caiming Xiong (EMNLP (1), 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 003; Richard Socher; Steven C. H. Hoi (ICLR, 2020)

DivideMix: Learning with Noisy Labels as Semi-supervised Learning. - Junnan Li 001; Richard Socher; Steven C. H. Hoi (ICLR, 2020)

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

Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills. - Victor Campos 001; Alexander Trott; Caiming Xiong; Richard Socher; Xavier Giró-i-Nieto; Jordi Torres (ICML, 2020)

An Investigation of Phone-Based Subword Units for End-to-End Speech Recognition. - Weiran Wang; Guangsen Wang; Aadyot Bhatnagar; Yingbo Zhou; Caiming Xiong; Richard Socher (INTERSPEECH, 2020)

Limits of Detecting Text Generated by Large-Scale Language Models. - Lav R. Varshney; Nitish Shirish Keskar; Richard Socher (ITA, 2020)

Towards Understanding Hierarchical Learning: Benefits of Neural Representations. - Minshuo Chen; Yu Bai 017; Jason D. Lee; Tuo Zhao; Huan Wang 014; Caiming Xiong; Richard Socher (NeurIPS, 2020)

A Simple Language Model for Task-Oriented Dialogue. - Ehsan Hosseini-Asl; Bryan McCann; Chien-Sheng Wu; Semih Yavuz; Richard Socher (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 002; Caiming Xiong; Richard Socher; Steven Chu-Hong Hoi (NeurIPS, 2020)

Find or Classify? Dual Strategy for Slot-Value Predictions on Multi-Domain Dialog State Tracking. - Jian-Guo Zhang 005; Kazuma Hashimoto; Chien-Sheng Wu; Yao Wan 001; Philip S. Yu; Richard Socher; Caiming Xiong (*SEM@COLING, 2020)

Taylorized Training: Towards Better Approximation of Neural Network Training at Finite Width. - Yu Bai 017; Ben Krause; Huan Wang 014; Caiming Xiong; Richard Socher (CoRR, 2020)

Neural Bayes: A Generic Parameterization Method for Unsupervised Representation Learning. - Devansh Arpit; Huan Wang 014; Caiming Xiong; Richard Socher; Yoshua Bengio (CoRR, 2020)

Towards Noise-resistant Object Detection with Noisy Annotations. - Junnan Li 001; Caiming Xiong; Richard Socher; Steven C. H. Hoi (CoRR, 2020)

Improving out-of-distribution generalization via multi-task self-supervised pretraining. - Isabela Albuquerque; Nikhil Naik 002; Junnan Li 001; Nitish Shirish Keskar; Richard Socher (CoRR, 2020)

ProGen: Language Modeling for Protein Generation. - Ali Madani; Bryan McCann; Nikhil Naik 002; Nitish Shirish Keskar; Namrata Anand; Raphael R. Eguchi; Po-Ssu Huang; Richard Socher (CoRR, 2020)

ToD-BERT: Pre-trained Natural Language Understanding for Task-Oriented Dialogues. - Chien-Sheng Wu; Steven C. H. Hoi; Richard Socher; Caiming Xiong (CoRR, 2020)

The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies. - Stephan Zheng; Alexander Trott; Sunil Srinivasa; Nikhil Naik 002; Melvin Gruesbeck; David C. Parkes; Richard Socher (CoRR, 2020)

Prototypical Contrastive Learning of Unsupervised Representations. - Junnan Li 001; Pan Zhou 002; Caiming Xiong; Richard Socher; Steven C. H. Hoi (CoRR, 2020)

EMT: Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading. - Yifan Gao 001; Chien-Sheng Wu; Shafiq R. Joty; Caiming Xiong; Richard Socher; Irwin King; Michael R. Lyu; Steven C. H. Hoi (CoRR, 2020)

CO-Search: COVID-19 Information Retrieval with Semantic Search, Question Answering, and Abstractive Summarization. - Andre Esteva; Anuprit Kale; Romain Paulus; Kazuma Hashimoto; Wenpeng Yin 001; Dragomir R. Radev; Richard Socher (CoRR, 2020)

DART: Open-Domain Structured Data Record to Text Generation. - Dragomir R. Radev; Rui Zhang 037; Amrit Rau; Abhinand Sivaprasad; Chiachun Hsieh; Nazneen Fatema Rajani; Xiangru Tang; Aadit Vyas; Neha Verma 001; Pranav Krishna; Yangxiaokang Liu; Nadia Irwanto; et al. (CoRR, 2020)

Central Yup'ik and Machine Translation of Low-Resource Polysynthetic Languages. - Christopher Liu; Laura Dominé; Kevin Chavez; Richard Socher (CoRR, 2020)

Explaining Creative Artifacts. - Lav R. Varshney; Nazneen Fatema Rajani; Richard Socher (CoRR, 2020)

Explaining and Improving Model Behavior with k Nearest Neighbor Representations. - Nazneen Fatema Rajani; Ben Krause; Wenpeng Yin 001; Tong Niu; Richard Socher; Caiming Xiong (CoRR, 2020)

WOAD: Weakly Supervised Online Action Detection in Untrimmed Videos. - Mingfei Gao; Yingbo Zhou; Ran Xu 001; Richard Socher; Caiming Xiong (CVPR, 2021)

GeDi: Generative Discriminator Guided Sequence Generation. - Ben Krause; Akhilesh Deepak Gotmare; Bryan McCann; Nitish Shirish Keskar; Shafiq R. Joty; Richard Socher; Nazneen Fatema Rajani (EMNLP (Findings), 2021)

GraPPa: Grammar-Augmented Pre-Training for Table Semantic Parsing. - Tao Yu 009; Chien-Sheng Wu; Xi Victoria Lin; Bailin Wang; Yi Chern Tan; Xinyi Yang 002; Dragomir R. Radev; Richard Socher; Caiming Xiong (ICLR, 2021)

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

Catastrophic Fisher Explosion: Early Phase Fisher Matrix Impacts Generalization. - Stanislaw Jastrzebski; Devansh Arpit; Oliver Åstrand; Giancarlo Kerg; Huan Wang 014; Caiming Xiong; Richard Socher; Kyunghyun Cho; Krzysztof J. Geras (ICML, 2021)

DART: Open-Domain Structured Data Record to Text Generation. - Linyong Nan; Dragomir R. Radev; Rui Zhang 037; Amrit Rau; Abhinand Sivaprasad; Chiachun Hsieh; Xiangru Tang; Aadit Vyas; Neha Verma 001; Pranav Krishna; Yangxiaokang Liu; Nadia Irwanto; et al. (NAACL-HLT, 2021)

Evaluating State-of-the-Art Classification Models Against Bayes Optimality. - Ryan Theisen; Huan Wang 014; Lav R. Varshney; Caiming Xiong; Richard Socher (NeurIPS, 2021)

The AI Economist: Optimal Economic Policy Design via Two-level Deep Reinforcement Learning. - Stephan Zheng; Alexander Trott; Sunil Srinivasa; David C. Parkes; Richard Socher (CoRR, 2021)

Deep learning-enabled medical computer vision. - Andre Esteva; Katherine Chou; Serena Yeung; Nikhil Naik 002; Ali Madani; Ali Mottaghi; Yun Liu 013; Eric J. Topol; Jeff Dean; Richard Socher (npj Digit. Medicine, 2021)

COVID-19 information retrieval with deep-learning based semantic search, question answering, and abstractive summarization. - Andre Esteva; Anuprit Kale; Romain Paulus; Kazuma Hashimoto; Wenpeng Yin 001; Dragomir Radev; Richard Socher (npj Digit. Medicine, 2021)

Biological data annotation via a human-augmenting AI-based labeling system. - Douwe van der Wal; Iny Jhun; Israa Laklouk; Jeffrey J. Nirschl; Lara Richer; Rebecca Rojansky; Talent Theparee; Joshua Wheeler; Jörg Sander 003; Felix Y. Feng; Osama Mohamad; Silvio Savarese; et al. (npj Digit. Medicine, 2021)

SummEval: Re-evaluating Summarization Evaluation. - Alexander R. Fabbri; Wojciech Kryscinski; Bryan McCann; Caiming Xiong; Richard Socher; Dragomir R. Radev (Trans. Assoc. Comput. Linguistics, 2021)

Converse: A Tree-Based Modular Task-Oriented Dialogue System. - Tian Xie; Xinyi Yang 002; Angela S. Lin; Feihong Wu; Kazuma Hashimoto; Jin Qu; Young Mo Kang; Wenpeng Yin 001; Huan Wang 014; Semih Yavuz; Gang Wu; Michael Jones 002; et al. (CoRR, 2022)

Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials. - 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 002; et al. (npj Digit. Medicine, 2022)

Author Correction: Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials. - 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 002; et al. (npj Digit. Medicine, 2023)

Large Language Models: A Survey. - Shervin Minaee; Tomás Mikolov; Narjes Nikzad; Meysam Chenaghlu; Richard Socher; Xavier Amatriain; Jianfeng Gao 001 (CoRR, 2024)