Publications

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

Bridging Textual and Tabular Data for Cross-Domain Text-to-SQL Semantic Parsing
Xi Victoria Lin, Richard Socher, Caiming Xiong · EMNLP 2020
Computation and Language, Artificial Intelligence, Databases, Machine Learning
Catastrophic Fisher Explosion: Early Phase Fisher Matrix Impacts Generalization
Stanislaw Jastrzebski, Devansh Arpit, Oliver Astrand, Giancarlo Kerg, Huan Wang, Caiming Xiong, Richard Socher, Kyunghyun Cho, Krzysztof Geras · arXiv 2020
Machine Learning, Machine Learning
CTRLsum: Towards Generic Controllable Text Summarization
Junxian He, Wojciech Kryściński, Bryan McCann, Nazneen Rajani, Caiming Xiong · arXiv 2020
Computation and Language
GAEA: Graph Augmentation for Equitable Access via Reinforcement Learning
Govardana Sachithanandam Ramachandran, Ivan Brugere, Lav R. Varshney, Caiming Xiong · arXiv 2020
Machine Learning, Artificial Intelligence, Computers and Society, Social and Information Networks
NaturalCC: A Toolkit to Naturalize the Source Code Corpus
Yao Wan, Yang He, Jian-Guo Zhang, Yulei Sui, Hai Jin, Guandong Xu, Caiming Xiong, Philip S. Yu · arXiv 2020
Software Engineering
Adapt-and-Adjust: Overcoming the Long-Tail Problem of Multilingual Speech Recognition
Genta Indra Winata, Guangsen Wang, Caiming Xiong, Steven Hoi · arXiv 2020
Computation and Language, Artificial Intelligence, Machine Learning
CoMatch: Semi-supervised Learning with Contrastive Graph Regularization
Junnan Li, Caiming Xiong, Steven Hoi · arXiv 2020
Machine Learning, Computer Vision and Pattern Recognition
What's New? Summarizing Contributions in Scientific Literature
Hiroaki Hayashi, Wojciech Kryściński, Bryan McCann, Nazneen Rajani, Caiming Xiong · arXiv 2020
Computation and Language
VD-BERT: A Unified Vision and Dialog Transformer with BERT
Yue Wang, Shafiq Joty, Michael R. Lyu, Irwin King, Caiming Xiong, Steven C. H. Hoi · EMNLP 2020
Computer Vision and Pattern Recognition, Computation and Language
Contextual Salience for Fast and Accurate Sentence Vectors
Eric Zelikman, Richard Socher · arXiv 2018
Computation and Language
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 · SEM 2020
Computation and Language, Artificial Intelligence
Improving Limited Labeled Dialogue State Tracking with Self-Supervision
Chien-Sheng Wu, Steven Hoi, Caiming Xiong · EMNLP 2020
Computation and Language, Artificial Intelligence
Probing Task-Oriented Dialogue Representation from Language Models
Chien-Sheng Wu, Caiming Xiong · EMNLP 2020
Computation and Language, Artificial Intelligence
Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language Inference
Jian-Guo Zhang, Kazuma Hashimoto, Wenhao Liu, Chien-Sheng Wu, Yao Wan, Philip S. Yu, Richard Socher, Caiming Xiong · EMNLP 19
Computation and Language, Artificial Intelligence
Unsupervised Paraphrase Generation via Dynamic Blocking
Tong Niu, Semih Yavuz, Yingbo Zhou, Huan Wang, Nitish Shirish Keskar, Caiming Xiong · arXiv 2020
Computation and Language
Online Structured Meta-learning
Huaxiu Yao, Yingbo Zhou, Mehrdad Mahdavi, Zhenhui Li, Richard Socher, Caiming Xiong · NeurIPS 2020
Machine Learning
GeDi: Generative Discriminator Guided Sequence Generation
Ben Krause, Akhilesh Deepak Gotmare, Bryan McCann, Nitish Shirish Keskar, Shafiq Joty, Richard Socher, Nazneen Fatema Rajani · arXiv 2020
Computation and Language, Machine Learning
Explaining and Improving Model Behavior with k Nearest Neighbor Representations
Nazneen Fatema Rajani, Ben Krause, Wengpeng Yin, Tong Niu, Richard Socher, Caiming Xiong · arXiv 2020
Computation and Language, Machine Learning
Discern: Discourse-Aware Entailment Reasoning Network for Conversational Machine Reading
Yifan Gao, Chien-Sheng Wu, Jingjing Li, Shafiq Joty, Steven C. H. Hoi, Caiming Xiong, Irwin King, Michael R. Lyu · EMNLP 2020
Computation and Language, Artificial Intelligence, Machine Learning
Explaining Creative Artifacts
Lav R. Varshney, Nazneen Fatema Rajani, Richard Socher · WHI 2020
Artificial Intelligence
How Important is the Train-Validation Split in Meta-Learning?
Yu Bai, Minshuo Chen, Pan Zhou, Tuo Zhao, Jason D. Lee, Sham Kakade, Huan Wang, Caiming Xiong · arXiv 2020
Machine Learning, Machine Learning
Towards Theoretically Understanding Why SGD Generalizes Better Than ADAM in Deep Learning
Pan Zhou, Jiashi Feng, Chao Ma, Caiming Xiong, Steven HOI, Weinan E · NeurIPS 2020
Machine Learning, Artificial Intelligence, Optimization and Control, Machine Learning
Theory-Inspired Path-Regularized Differential Network Architecture Search
Pan Zhou, Caiming Xiong, Richard Socher, Steven C. H. Hoi · NeurIPS 2020
Machine Learning, Computer Vision and Pattern Recognition, Optimization and Control, Machine Learning
Representation Learning for Sequence Data with Deep Autoencoding Predictive Components
Junwen Bai, Weiran Wang, Yingbo Zhou, Caiming Xiong · arXiv 2020
Machine Learning
Universal Natural Language Processing with Limited Annotations: Try Few-shot Textual Entailment as a Start
Wenpeng Yin, Nazneen Fatema Rajani, Dragomir Radev, Richard Socher, Caiming Xiong · EMNLP 2020
Computation and Language
TOD-BERT: Pre-trained Natural Language Understanding for Task-Oriented Dialogue
Chien-Sheng Wu, Steven Hoi, Richard Socher, Caiming Xiong · EMNLP 2020
Computation and Language
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 · arXiv 2020
Computation and Language, Artificial Intelligence
Composed Variational Natural Language Generation for Few-shot Intents
Congying Xia, Caiming Xiong, Philip Yu, Richard Socher · EMNLP 2020
Computation and Language
MoPro: Webly Supervised Learning with Momentum Prototypes
Junnan Li, Caiming Xiong, Steven C. H. Hoi · arXiv 2020
Computer Vision and Pattern Recognition
Central Yup'ik and Machine Translation of Low-Resource Polysynthetic Languages
Christopher Liu, Laura Dominé, Kevin Chavez, Richard Socher · arXiv 2020
Computation and Language
Photon: A Robust Cross-Domain Text-to-SQL System
Jichuan Zeng, Xi Victoria Lin, Caiming Xiong, Richard Socher, Michael R. Lyu, Irwin King, Steven C. H. Hoi · ACL 2020
Computation and Language, Artificial Intelligence, Databases
Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills
Víctor Campos, Alexander Trott, Caiming Xiong, Richard Socher, Xavier Giro-i-Nieto, Jordi Torres · arXiv 2020
Machine Learning, Artificial Intelligence, Machine Learning
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
Audio and Speech Processing
Prototypical Contrastive Learning of Unsupervised Representations
Junnan Li, Pan Zhou, Caiming Xiong, Richard Socher, Steven C. H. Hoi · arXiv 2020
Computer Vision and Pattern Recognition, Machine Learning
BERTology Meets Biology: Interpreting Attention in Protein Language Models
Jesse Vig, Ali Madani, Lav R. Varshney, Caiming Xiong, Richard Socher, Nazneen Fatema Rajani · arXiv 2020
Computation and Language, Machine Learning, Biomolecules
A Simple Language Model for Task-Oriented Dialogue
Ehsan Hosseini-Asl, Bryan McCann, Chien-Sheng Wu, Semih Yavuz, Richard Socher · arXiv 2020
Computation and Language
DART: Open-Domain Structured Data Record to Text Generation
Dragomir 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 · arXiv 2020
Computation and Language
Towards Understanding Hierarchical Learning: Benefits of Neural Representations
Minshuo Chen, Yu Bai, Jason D. Lee, Tuo Zhao, Huan Wang, Caiming Xiong, Richard Socher · arXiv 2020
Machine Learning, Machine Learning
A High-Quality Multilingual Dataset for Structured Documentation Translation
Kazuma Hashimoto, Raffaella Buschiazzo, James Bradbury, Teresa Marshall, Richard Socher, Caiming Xiong · WMT 2019
Computation and Language
Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading
Yifan Gao, Chien-Sheng Wu, Shafiq Joty, Caiming Xiong, Richard Socher, Irwin King, Michael R. Lyu, Steven C. H. Hoi · ACL 2020
Computation and Language
CO-Search: COVID-19 Information Retrieval with Semantic Search, Question Answering, and Abstractive Summarization
Andre Esteva, Anuprit Kale, Romain Paulus, Kazuma Hashimoto, Wenpeng Yin, Dragomir Radev, Richard Socher · arXiv 2020
Information Retrieval, Artificial Intelligence, Computation and Language
WOAD: Weakly Supervised Online Action Detection in Untrimmed Videos
Mingfei Gao, Yingbo Zhou, Ran Xu, Richard Socher, Caiming Xiong · arXiv 2020
Computer Vision and Pattern Recognition
Learning from Noisy Anchors for One-stage Object Detection
Hengduo Li, Zuxuan Wu, Chen Zhu, Caiming Xiong, Richard Socher, Larry S. Davis · CVPR 2020
Computer Vision and Pattern Recognition
ESPRIT: Explaining Solutions to Physical Reasoning Tasks
Nazneen Fatema Rajani, Rui Zhang, Yi Chern Tan, Stephan Zheng, Jeremy Weiss, Aadit Vyas, Abhijit Gupta, Caiming XIong, Richard Socher, Dragomir Radev · ACL 2020
Computation and Language, Machine Learning
It's Morphin' Time! Combating Linguistic Discrimination with Inflectional Perturbations
Samson Tan, Shafiq Joty, Min-Yen Kan, Richard Socher · ACL 2020
Computation and Language, Machine Learning
Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation
Tianlu Wang, Xi Victoria Lin, Nazneen Fatema Rajani, Bryan McCann, Vicente Ordonez, Caiming Xiong · ACL 2020
Computation and Language, Machine Learning
MKD: a Multi-Task Knowledge Distillation Approach for Pretrained Language Models
Linqing Liu, Huan Wang, Jimmy Lin, Richard Socher, Caiming Xiong · arXiv 2019
Computation and Language, Machine Learning
The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies
Stephan Zheng, Alexander Trott, Sunil Srinivasa, Nikhil Naik, Melvin Gruesbeck, David C. Parkes, Richard Socher · arXiv 2020
General Economics, Machine Learning, Machine Learning
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
Computation and Language, Artificial Intelligence, Machine Learning
Proposal Learning for Semi-Supervised Object Detection
Peng Tang, Chetan Ramaiah, Yan Wang, Ran Xu, Caiming Xiong · arXiv 2020
Computer Vision and Pattern Recognition
Improving out-of-distribution generalization via multi-task self-supervised pretraining
Isabela Albuquerque, Nikhil Naik, Junnan Li, Nitish Keskar, Richard Socher · arXiv 2020
Computer Vision and Pattern Recognition, Machine Learning
ProGen: Language Modeling for Protein Generation
Ali Madani, Bryan McCann, Nikhil Naik, Nitish Shirish Keskar, Namrata Anand, Raphael R. Eguchi, Po-Ssu Huang, Richard Socher · arXiv 2020
Biomolecules, Machine Learning, Machine Learning
Towards Noise-resistant Object Detection with Noisy Annotations
Junnan Li, Caiming Xiong, Richard Socher, Steven Hoi · arXiv 2020
Computer Vision and Pattern Recognition
Differentially Private Deep Learning with Smooth Sensitivity
Lichao Sun, Yingbo Zhou, Philip S. Yu, Caiming Xiong · arXiv 2020
Machine Learning, Artificial Intelligence, Cryptography and Security
Adv-BERT: BERT is not robust on misspellings! Generating nature adversarial samples on BERT
Lichao Sun, Kazuma Hashimoto, Wenpeng Yin, Akari Asai, Jia Li, Philip Yu, Caiming Xiong · arXiv 2020
Computation and Language
Taylorized Training: Towards Better Approximation of Neural Network Training at Finite Width
Yu Bai, Ben Krause, Huan Wang, Caiming Xiong, Richard Socher · arXiv 2020
Machine Learning, Machine Learning
The Break-Even Point on the Optimization Trajectories of Deep Neural Networks
Stanislaw Jastrzebski, Maciej Szymczak, Stanislav Fort, Devansh Arpit, Jacek Tabor, Kyunghyun Cho, Krzysztof Geras · ICLR 2020 2020
Machine Learning
Neural Bayes: A Generic Parameterization Method for Unsupervised Representation Learning
Devansh Arpit, Huan Wang, Caiming Xiong, Richard Socher, Yoshua Bengio · arXiv 2020
Machine Learning, Machine Learning
Tree-structured Attention with Hierarchical Accumulation
Xuan-Phi Nguyen, Shafiq Joty, Steven C. H. Hoi, Richard Socher · ICLR 2020
Machine Learning, Computation and Language
Non-Autoregressive Dialog State Tracking
Hung Le, Richard Socher, Steven C. H. Hoi · ICLR 2020
Computation and Language, Artificial Intelligence, Machine Learning
DivideMix: Learning with Noisy Labels as Semi-supervised Learning
Junnan Li, Richard Socher, Steven C. H. Hoi · arXiv 2020
Computer Vision and Pattern Recognition
Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering
Akari Asai, Kazuma Hashimoto, Hannaneh Hajishirzi, Richard Socher, Caiming Xiong · ICLR 2020
Computation and Language
Beyond Linearization: On Quadratic and Higher-Order Approximation of Wide Neural Networks
Yu Bai, Jason D. Lee · ICLR 2020
Machine Learning, Optimization and Control
Limits of Detecting Text Generated by Large-Scale Language Models
Lav R. Varshney, Nitish Shirish Keskar, Richard Socher · ITA 2020
Computation and Language, Computers and Society, Machine Learning
LiteEval: A Coarse-to-Fine Framework for Resource Efficient Video Recognition
Zuxuan Wu, Caiming Xiong, Yu-Gang Jiang, Larry S. Davis · NeurIPS 2019
Computer Vision and Pattern Recognition
Zero-Resource Cross-Lingual Named Entity Recognition
M Saiful Bari, Shafiq Joty, Prathyusha Jwalapuram · AAAI 2020
Computation and Language, Machine Learning
Predicting with High Correlation Features
Devansh Arpit, Caiming Xiong, Richard Socher · arXiv 2019
Machine Learning, Machine Learning
Keeping Your Distance: Solving Sparse Reward Tasks Using Self-Balancing Shaped Rewards
Alexander Trott, Stephan Zheng, Caiming Xiong, Richard Socher · NeurIPS 2019
Artificial Intelligence
Classification Calibration for Long-tail Instance Segmentation
Tao Wang, Yu Li, Bingyi Kang, Junnan Li, Jun Hao Liew, Sheng Tang, Steven Hoi, Jiashi Feng · LVIS 2019
Computer Vision and Pattern Recognition
Sketch-Fill-A-R: A Persona-Grounded Chit-Chat Generation Framework
Michael Shum, Stephan Zheng, Wojciech Kryściński, Caiming Xiong, Richard Socher · arXiv 2019
Computation and Language
Evaluating the Factual Consistency of Abstractive Text Summarization
Wojciech Kryściński, Bryan McCann, Caiming Xiong, Richard Socher · arXiv 2019
Computation and Language
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
Machine Learning, Machine Learning
CTRL: A Conditional Transformer Language Model for Controllable Generation
Nitish Shirish Keskar, Bryan McCann, Lav R. Varshney, Caiming Xiong, Richard Socher · arXiv 2019
Computation and Language
Unifying Question Answering, Text Classification, and Regression via Span Extraction
Nitish Shirish Keskar, Bryan McCann, Caiming Xiong, Richard Socher · arXiv 2019
Computation and Language
Private Deep Learning with Teacher Ensembles
Lichao Sun, Yingbo Zhou, Ji Wang, Jia Li, Richard Sochar, Philip S. Yu, Caiming Xiong · arXiv 2019
Cryptography and Security, Machine Learning
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
Computation and Language, Artificial Intelligence
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
Computation and Language
Pretrained AI Models: Performativity, Mobility, and Change
Lav R. Varshney, Nitish Shirish Keskar, Richard Socher · arXiv 2019
Computers and Society, Artificial Intelligence, Machine Learning
Deleter: Leveraging BERT to Perform Unsupervised Successive Text Compression
Tong Niu, Caiming Xiong, Richard Socher · WeCNLP 2019
Computation and Language
WSLLN: Weakly Supervised Natural Language Localization Networks
Mingfei Gao, Larry S. Davis, Richard Socher, Caiming Xiong · EMNLP 2019
Computer Vision and Pattern Recognition
Neural Text Summarization: A Critical Evaluation
Wojciech Kryściński, Nitish Shirish Keskar, Bryan McCann, Caiming Xiong, Richard Socher · EMNLP 2019
Computation and Language
Recent Advances in Deep Learning for Object Detection
Xiongwei Wu, Doyen Sahoo, Steven C.H. Hoi · arXiv 2019
Computer Vision and Pattern Recognition, Machine Learning, Multimedia
Multimodal Transformer Networks for End-to-End Video-Grounded Dialogue Systems
Hung Le, Doyen Sahoo, Nancy F. Chen, Steven C.H. Hoi · ACL 2019
Computation and Language
Learning World Graphs to Accelerate Hierarchical Reinforcement Learning
Wenling Shang, Alex Trott, Stephan Zheng, Caiming Xiong, Richard Socher · arXiv 2019
Machine Learning, Machine Learning
Explain Yourself! Leveraging Language Models for Commonsense Reasoning
Nazneen Fatema Rajani, Bryan McCann, Caiming Xiong, Richard Socher · ACL 2019
Computation and Language
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
Computation and Language, Artificial Intelligence
On the Generalization Gap in Reparameterizable Reinforcement Learning
Huan Wang, Stephan Zheng, Caiming Xiong, Richard Socher · arXiv 2019
Machine Learning, Artificial Intelligence, Machine Learning
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
Computation and Language, Artificial Intelligence, Machine Learning
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
Computation and Language, Artificial Intelligence
Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting
Xilai Li, Yingbo Zhou, Tianfu Wu, Richard Socher, Caiming Xiong · arXiv 2019
Machine Learning, Computer Vision and Pattern Recognition
A Unified Linear-Time Framework for Sentence-Level Discourse Parsing
Xiang Lin, Shafiq Joty, Prathyusha Jwalapuram, M Saiful Bari · ACL 2019
Computation and Language, Artificial Intelligence
Coarse-grain Fine-grain Coattention Network for Multi-evidence Question Answering
Victor Zhong, Caiming Xiong, Nitish Shirish Keskar, Richard Socher · ICLR 2019
Computation and Language, Artificial Intelligence
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
Computation and Language
AdaFrame: Adaptive Frame Selection for Fast Video Recognition
Zuxuan Wu, Caiming Xiong, Chih-Yao Ma, Richard Socher, Larry S. Davis · CVPR 2019
Computer Vision and Pattern Recognition
Global-to-local Memory Pointer Networks for Task-Oriented Dialogue
Chien-Sheng Wu, Richard Socher, Caiming Xiong · ICLR 2019
Computation and Language, Artificial Intelligence
StartNet: Online Detection of Action Start in Untrimmed Videos
Mingfei Gao, Mingze Xu, Larry S. Davis, Richard Socher, Caiming Xiong · arXiv 2019
Computer Vision and Pattern Recognition
The Regretful Agent: Heuristic-Aided Navigation through Progress Estimation
Chih-Yao Ma, Zuxuan Wu, Ghassan AlRegib, Caiming Xiong, Zsolt Kira · CVPR 2019
Artificial Intelligence, Computer Vision and Pattern Recognition, Robotics
Competitive Experience Replay
Hao Liu, Alexander Trott, Richard Socher, Caiming Xiong · ICLR 2019
Machine Learning, Machine Learning
Deep Learning for Image Super-resolution: A Survey
Zhihao Wang, Jian Chen, Steven C.H. Hoi · TPAMI 2020
Computer Vision and Pattern Recognition
Augmented Cyclic Adversarial Learning for Low Resource Domain Adaptation
Ehsan Hosseini-Asl, Yingbo Zhou, Caiming Xiong, Richard Socher · ICLR 2019
Machine Learning, Machine Learning
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
Artificial Intelligence, Computation and Language, Computer Vision and Pattern Recognition, Robotics
Neural Abstract Style Transfer for Chinese Traditional Painting
Bo Li, Caiming Xiong, Tianfu Wu, Yu Zhou, Lun Zhang, Rufeng Chu · ACCV 2018
Computer Vision and Pattern Recognition
A Closer Look at Deep Learning Heuristics: Learning rate restarts, Warmup and Distillation
Akhilesh Gotmare, Nitish Shirish Keskar, Caiming Xiong, Richard Socher · SVCCA 2018
Machine Learning, Machine Learning
Interactive Agent Modeling by Learning to Probe
Tianmin Shu, Caiming Xiong, Ying Nian Wu, Song-Chun Zhu · arXiv 2018
Artificial Intelligence, Machine Learning, Multiagent Systems, Machine Learning
Identifying Generalization Properties in Neural Networks
Huan Wang, Nitish Shirish Keskar, Caiming Xiong, Richard Socher · arXiv 2018
Machine Learning, Machine Learning
Multi-Hop Knowledge Graph Reasoning with Reward Shaping
Xi Victoria Lin, Richard Socher, Caiming Xiong · EMNLP 2018
Artificial Intelligence, Computation and Language, Machine Learning
Global-Locally Self-Attentive Dialogue State Tracker
Victor Zhong, Caiming Xiong, Richard Socher · ACL 2018
Computation and Language, Artificial Intelligence
Improving Abstraction in Text Summarization
Wojciech Kryściński, Romain Paulus, Caiming Xiong, Richard Socher · arXiv 2018
Computation and Language
A Multi-Discriminator CycleGAN for Unsupervised Non-Parallel Speech Domain Adaptation
Ehsan Hosseini-Asl, Yingbo Zhou, Caiming Xiong, Richard Socher · Interspeech 2018
Computation and Language, Machine Learning
The Natural Language Decathlon: Multitask Learning as Question Answering
Bryan McCann, Nitish Shirish Keskar, Caiming Xiong, Richard Socher · arXiv 2018
Computation and Language, Artificial Intelligence, Learning, Machine Learning
Learned in Translation: Contextualized Word Vectors
Bryan McCann, James Bradbury, Caiming Xiong, Richard Socher · arXiv 2017
Computation and Language, Artificial Intelligence, Learning
Using Mode Connectivity for Loss Landscape Analysis
Akhilesh Gotmare, Nitish Shirish Keskar, Caiming Xiong, Richard Socher · ICML 2018
Learning, Machine Learning
Efficient and Robust Question Answering from Minimal Context over Documents
Sewon Min, Victor Zhong, Richard Socher, Caiming Xiong · ACL 2018
Computation and Language
End-to-End Dense Video Captioning with Masked Transformer
Luowei Zhou, Yingbo Zhou, Jason J. Corso, Richard Socher, Caiming Xiong · CVPR 2018
Computer Vision and Pattern Recognition
An Analysis of Neural Language Modeling at Multiple Scales
Stephen Merity, Nitish Shirish Keskar, Richard Socher · arXiv 2018
Computation and Language, Artificial Intelligence, Neural and Evolutionary Computing
Non-Autoregressive Neural Machine Translation
Jiatao Gu, James Bradbury, Caiming Xiong, Victor O. K. Li, Richard Socher · ICLR 2018
Computation and Language, Learning
Dynamic Coattention Networks For Question Answering
Caiming Xiong, Victor Zhong, Richard Socher · arXiv 2017
Computation and Language, Artificial Intelligence
Interpretable Counting for Visual Question Answering
Alexander Trott, Caiming Xiong, Richard Socher · ICLR 2018
Artificial Intelligence, Computation and Language, Computer Vision and Pattern Recognition
Improving Generalization Performance by Switching from Adam to SGD
Nitish Shirish Keskar, Richard Socher · arXiv 2017
Learning, Optimization and Control
A Flexible Approach to Automated RNN Architecture Generation
Martin Schrimpf, Stephen Merity, James Bradbury, Richard Socher · arXiv 2017
Computation and Language, Learning, Machine Learning
Block-diagonal Hessian-free Optimization for Training Neural Networks
Huishuai Zhang, Caiming Xiong, James Bradbury, Richard Socher · arXiv 2017
Learning, Artificial Intelligence, Machine Learning
Hierarchical and Interpretable Skill Acquisition in Multi-task Reinforcement Learning
Tianmin Shu, Caiming Xiong, Richard Socher · arXiv 2017
Artificial Intelligence
Improved Regularization Techniques for End-to-End Speech Recognition
Yingbo Zhou, Caiming Xiong, Richard Socher · arXiv 2017
Computation and Language, Sound, Audio and Speech Processing, Machine Learning
Improving End-to-End Speech Recognition with Policy Learning
Yingbo Zhou, Caiming Xiong, Richard Socher · arXiv 2017
Computation and Language, Sound, Audio and Speech Processing, Machine Learning
Learning when to skim and when to read
Alexander Rosenberg Johansen, Richard Socher · ACL 2017
Computation and Language
A Deep Reinforced Model for Abstractive Summarization
Romain Paulus, Caiming Xiong, Richard Socher · arXiv 2017
Computation and Language
DCN+: Mixed Objective and Deep Residual Coattention for Question Answering
Caiming Xiong, Victor Zhong, Richard Socher · arXiv 2017
Computation and Language, Artificial Intelligence
Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning
Victor Zhong, Caiming Xiong, Richard Socher · arXiv 2017
Computation and Language, Artificial Intelligence
Weighted Transformer Network for Machine Translation
Karim Ahmed, Nitish Shirish Keskar, Richard Socher · arXiv 2017
Artificial Intelligence, Computation and Language
Towards Neural Machine Translation with Latent Tree Attention
James Bradbury, Richard Socher · SPNLP 2017
Computation and Language, Artificial Intelligence
Regularizing and Optimizing LSTM Language Models
Stephen Merity, Nitish Shirish Keskar, Richard Socher · arXiv 2017
Computation and Language, Learning, Neural and Evolutionary Computing
Revisiting Activation Regularization for Language RNNs
Stephen Merity, Bryan McCann, Richard Socher · arXiv 2017
Computation and Language, Neural and Evolutionary Computing
A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks
Kazuma Hashimoto, Caiming Xiong, Yoshimasa Tsuruoka, Richard Socher · EMNLP 2017
Computation and Language, Artificial Intelligence
Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning
Jiasen Lu, Caiming Xiong, Devi Parikh, Richard Socher · CVPR 2017
Computer Vision and Pattern Recognition, Artificial Intelligence
Action Understanding with Multiple Classes of Actors
Chenliang Xu, Caiming Xiong, Jason J. Corso · arXiv 2017
Computer Vision and Pattern Recognition
Tying Word Vectors and Word Classifiers: A Loss Framework for Language Modeling
Hakan Inan, Khashayar Khosravi, Richard Socher · arXiv 2016
Learning, Computation and Language, Machine Learning
A Way out of the Odyssey: Analyzing and Combining Recent Insights for LSTMs
Shayne Longpre, Sabeek Pradhan, Caiming Xiong, Richard Socher · arXiv 2016
Computation and Language, Artificial Intelligence
Quasi-Recurrent Neural Networks
James Bradbury, Stephen Merity, Caiming Xiong, Richard Socher · ICLR 2017
Neural and Evolutionary Computing, Artificial Intelligence, Computation and Language, Learning
Pointer Sentinel Mixture Models
Stephen Merity, Caiming Xiong, James Bradbury, Richard Socher · arXiv 2016
Computation and Language, Artificial Intelligence
Recognizing Car Fluents from Video
Bo Li, Tianfu Wu, Caiming Xiong, Song-Chun Zhu · CVPR 2016
Computer Vision and Pattern Recognition
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
Computation and Language, Learning, Neural and Evolutionary Computing
Dynamic Memory Networks for Visual and Textual Question Answering
Caiming Xiong, Stephen Merity, Richard Socher · arXiv 2016
Neural and Evolutionary Computing, Computation and Language, Computer Vision and Pattern Recognition
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