Publications

Learn the latest in state-of-the art AI research techniques by exploring our publication database.

Learning from Noisy Anchors for One-stage Object Detection
Hengduo Li, Zuxuan Wu, Chen Zhu, Caiming Xiong, Richard Socher, Larry S. Davis · arXiv 2019
LiteEval: A Coarse-to-Fine Framework for Resource Efficient Video Recognition
Zuxuan Wu, Caiming Xiong, Yu-Gang Jiang, Larry S. Davis · NeurIPS 2019
Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering
Akari Asai, Kazuma Hashimoto, Hannaneh Hajishirzi, Richard Socher, Caiming Xiong · arXiv 2019
Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models
Tong Che, Xiaofeng Liu, Site Li, Yubin Ge, Ruixiang Zhang, Caiming Xiong, Yoshua Bengio · arXiv 2019
Attentive Student Meets Multi-Task Teacher: Improved Knowledge Distillation for Pretrained Models
Linqing Liu, Huan Wang, Jimmy Lin, Richard Socher, Caiming Xiong · arXiv 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 · arXiv 2019
Keeping Your Distance: Solving Sparse Reward Tasks Using Self-Balancing Shaped Rewards
Alexander Trott, Stephan Zheng, Caiming Xiong, Richard Socher · NeurIPS 2019
Sketch-Fill-A-R: A Persona-Grounded Chit-Chat Generation Framework
Michael Shum, Stephan Zheng, Wojciech Kryściński, Caiming Xiong, Richard Socher · arXiv 2019
Evaluating the Factual Consistency of Abstractive Text Summarization
Wojciech Kryściński, Bryan McCann, Caiming Xiong, Richard Socher · arXiv 2019
Global Capacity Measures for Deep ReLU Networks via Path Sampling
Ryan Theisen, Jason M. Klusowski, Huan Wang, Nitish Shirish Keskar, Caiming Xiong, Richard Socher · arXiv 2019
Find or Classify? Dual Strategy for Slot-Value Predictions on Multi-Domain Dialog State Tracking
Jian-Guo Zhang, Kazuma Hashimoto, Chien-Sheng Wu, Yao Wan, Philip S. Yu, Richard Socher, Caiming Xiong · arXiv 2019
Predicting with High Correlation Features
Devansh Arpit, Caiming Xiong, Richard Socher · arXiv 2019
CTRL: A Conditional Transformer Language Model for Controllable Generation
Nitish Shirish Keskar, Bryan McCann, Lav R. Varshney, Caiming Xiong, Richard Socher · arXiv 2019
CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases
Tao Yu, Rui Zhang, He Yang 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 Fabbri, Zifan Li, Luyao Chen, Yuwen Zhang, Shreya Dixit, Vincent Zhang, Caiming Xiong, Richard Socher, Walter S Lasecki, Dragomir Radev · EMNLP 2019
Pretrained AI Models: Performativity, Mobility, and Change
Lav R. Varshney, Nitish Shirish Keskar, Richard Socher · arXiv 2019
Deleter: Leveraging BERT to Perform Unsupervised Successive Text Compression
Tong Niu, Caiming Xiong, Richard Socher · WeCNLP 2019
Editing-Based SQL Query Generation for Cross-Domain Context-Dependent Questions
Rui Zhang, Tao Yu, He Yang Er, Sungrok Shim, Eric Xue, Xi Victoria Lin, Tianze Shi, Caiming Xiong, Richard Socher, Dragomir Radev · EMNLP 2019
WSLLN: Weakly Supervised Natural Language Localization Networks
Mingfei Gao, Larry S. Davis, Richard Socher, Caiming Xiong · EMNLP 2019
Neural Text Summarization: A Critical Evaluation
Wojciech Kryściński, Nitish Shirish Keskar, Bryan McCann, Caiming Xiong, Richard Socher · EMNLP 2019
Learning World Graphs to Accelerate Hierarchical Reinforcement Learning
Wenling Shang, Alex Trott, Stephan Zheng, Caiming Xiong, Richard Socher · arXiv 2019
Explain Yourself! Leveraging Language Models for Commonsense Reasoning
Nazneen Fatema Rajani, Bryan McCann, Caiming Xiong, Richard Socher · ACL 2019
Private Deep Learning with Teacher Ensembles
Lichao Sun, Yingbo Zhou, Ji Wang, Jia Li, Richard Sochar, Philip S. Yu, Caiming Xiong · arXiv 2019
SParC: Cross-Domain Semantic Parsing in Context
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 Radev · ACL 2019
On the Generalization Gap in Reparameterizable Reinforcement Learning
Huan Wang, Stephan Zheng, Caiming Xiong, Richard Socher · arXiv 2019
XLDA: Cross-Lingual Data Augmentation for Natural Language Inference and Question Answering
Jasdeep Singh, Bryan McCann, Nitish Shirish Keskar, Caiming Xiong, Richard Socher · arXiv 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 2019
Unifying Question Answering, Text Classification, and Regression via Span Extraction
Nitish Shirish Keskar, Bryan McCann, Caiming Xiong, Richard Socher · arXiv 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
Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting
Xilai Li, Yingbo Zhou, Tianfu Wu, Richard Socher, Caiming Xiong · arXiv 2019
StartNet: Online Detection of Action Start in Untrimmed Videos
Mingfei Gao, Mingze Xu, Larry S. Davis, Richard Socher, Caiming Xiong · arXiv 2019
The Regretful Agent: Heuristic-Aided Navigation through Progress Estimation
Chih-Yao Ma, Zuxuan Wu, Ghassan AlRegib, Caiming Xiong, Zsolt Kira · CVPR 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 · 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 · ICLR 2019
Coarse-grain Fine-grain Coattention Network for Multi-evidence Question Answering
Victor Zhong, Caiming Xiong, Nitish Shirish Keskar, Richard Socher · ICLR 2019
Neural Abstract Style Transfer for Chinese Traditional Painting
Bo Li, Caiming Xiong, Tianfu Wu, Yu Zhou, Lun Zhang, Rufeng Chu · ACCV 2018
AdaFrame: Adaptive Frame Selection for Fast Video Recognition
Zuxuan Wu, Caiming Xiong, Chih-Yao Ma, Richard Socher, Larry S. Davis · CVPR 2019
A Closer Look at Deep Learning Heuristics: Learning rate restarts, Warmup and Distillation
Akhilesh Gotmare, Nitish Shirish Keskar, Caiming Xiong, Richard Socher · SVCCA 2018
Interactive Agent Modeling by Learning to Probe
Tianmin Shu, Caiming Xiong, Ying Nian Wu, Song-Chun Zhu · arXiv 2018
Identifying Generalization Properties in Neural Networks
Huan Wang, Nitish Shirish Keskar, Caiming Xiong, Richard Socher · arXiv 2018
Multi-Hop Knowledge Graph Reasoning with Reward Shaping
Xi Victoria Lin, Richard Socher, Caiming Xiong · EMNLP 2018
Improving Abstraction in Text Summarization
Wojciech Kryściński, Romain Paulus, Caiming Xiong, Richard Socher · arXiv 2018
Augmented Cyclic Adversarial Learning for Low Resource Domain Adaptation
Ehsan Hosseini-Asl, Yingbo Zhou, Caiming Xiong, Richard Socher · ICLR 2019
The Natural Language Decathlon: Multitask Learning as Question Answering
Bryan McCann, Nitish Shirish Keskar, Caiming Xiong, Richard Socher · arXiv 2018
Using Mode Connectivity for Loss Landscape Analysis
Akhilesh Gotmare, Nitish Shirish Keskar, Caiming Xiong, Richard Socher · ICML 2018
Global-Locally Self-Attentive Dialogue State Tracker
Victor Zhong, Caiming Xiong, Richard Socher · ACL 2018
Efficient and Robust Question Answering from Minimal Context over Documents
Sewon Min, Victor Zhong, Richard Socher, Caiming Xiong · ACL 2018
End-to-End Dense Video Captioning with Masked Transformer
Luowei Zhou, Yingbo Zhou, Jason J. Corso, Richard Socher, Caiming Xiong · CVPR 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 · arXiv 2018
Interpretable Counting for Visual Question Answering
Alexander Trott, Caiming Xiong, Richard Socher · ICLR 2018
Improving Generalization Performance by Switching from Adam to SGD
Nitish Shirish Keskar, Richard Socher · arXiv 2017
A Flexible Approach to Automated RNN Architecture Generation
Martin Schrimpf, Stephen Merity, James Bradbury, Richard Socher · arXiv 2017
Block-diagonal Hessian-free Optimization for Training Neural Networks
Huishuai Zhang, Caiming Xiong, James Bradbury, Richard Socher · arXiv 2017
Hierarchical and Interpretable Skill Acquisition in Multi-task Reinforcement Learning
Tianmin Shu, Caiming Xiong, Richard Socher · arXiv 2017
Improved Regularization Techniques for End-to-End Speech Recognition
Yingbo Zhou, Caiming Xiong, Richard Socher · arXiv 2017
Improving End-to-End Speech Recognition with Policy Learning
Yingbo Zhou, Caiming Xiong, Richard Socher · arXiv 2017
Learning when to skim and when to read
Alexander Rosenberg Johansen, Richard Socher · ACL 2017
Non-Autoregressive Neural Machine Translation
Jiatao Gu, James Bradbury, Caiming Xiong, Victor O. K. Li, Richard Socher · ICLR 2018
Weighted Transformer Network for Machine Translation
Karim Ahmed, Nitish Shirish Keskar, Richard Socher · arXiv 2017
DCN+: Mixed Objective and Deep Residual Coattention for Question Answering
Caiming Xiong, Victor Zhong, Richard Socher · arXiv 2017
Towards Neural Machine Translation with Latent Tree Attention
James Bradbury, Richard Socher · SPNLP 2017
Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning
Victor Zhong, Caiming Xiong, Richard Socher · arXiv 2017
Regularizing and Optimizing LSTM Language Models
Stephen Merity, Nitish Shirish Keskar, Richard Socher · arXiv 2017
Revisiting Activation Regularization for Language RNNs
Stephen Merity, Bryan McCann, Richard Socher · arXiv 2017
Learned in Translation: Contextualized Word Vectors
Bryan McCann, James Bradbury, Caiming Xiong, Richard Socher · arXiv 2017
A Deep Reinforced Model for Abstractive Summarization
Romain Paulus, Caiming Xiong, Richard Socher · arXiv 2017
Action Understanding with Multiple Classes of Actors
Chenliang Xu, Caiming Xiong, Jason J. Corso · arXiv 2017
Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning
Jiasen Lu, Caiming Xiong, Devi Parikh, Richard Socher · CVPR 2017
A Way out of the Odyssey: Analyzing and Combining Recent Insights for LSTMs
Shayne Longpre, Sabeek Pradhan, Caiming Xiong, Richard Socher · arXiv 2016
Dynamic Coattention Networks For Question Answering
Caiming Xiong, Victor Zhong, Richard Socher · arXiv 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, 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 · arXiv 2016
Pointer Sentinel Mixture Models
Stephen Merity, Caiming Xiong, James Bradbury, Richard Socher · arXiv 2016
Recognizing Car Fluents from Video
Bo Li, Tianfu Wu, Caiming Xiong, Song-Chun Zhu · CVPR 2016
Dynamic Memory Networks for Visual and Textual Question Answering
Caiming Xiong, Stephen Merity, Richard Socher · arXiv 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 · arXiv 2015
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