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2020 – today
- 2021
[i119]Karan Goel, Nazneen Fatema Rajani, Jesse Vig, Samson Tan, Jason Wu, Stephan Zheng, Caiming Xiong, Mohit Bansal, Christopher Ré:
Robustness Gym: Unifying the NLP Evaluation Landscape. CoRR abs/2101.04840 (2021)- [i118]Tianxing He, Bryan McCann, Caiming Xiong, Ehsan Hosseini-Asl:
Joint Energy-based Model Training for Better Calibrated Natural Language Understanding Models. CoRR abs/2101.06829 (2021) - [i117]Yu Bai, Song Mei, Huan Wang, Caiming Xiong:
Don't Just Blame Over-parametrization for Over-confidence: Theoretical Analysis of Calibration in Binary Classification. CoRR abs/2102.07856 (2021) - [i116]Rachel Luo, Aadyot Bhatnagar, Huan Wang, Caiming Xiong, Silvio Savarese, Yu Bai, Shengjia Zhao, Stefano Ermon:
Localized Calibration: Metrics and Recalibration. CoRR abs/2102.10809 (2021) - [i115]Yu Bai, Chi Jin, Huan Wang, Caiming Xiong:
Sample-Efficient Learning of Stackelberg Equilibria in General-Sum Games. CoRR abs/2102.11494 (2021) - 2020
- [c89]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 - [c88]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 - [c87]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 - [c86]Tianlu Wang, Xi Victoria Lin, Nazneen Fatema Rajani, Bryan McCann, Vicente Ordonez, Caiming Xiong:
Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation. ACL 2020: 5443-5453 - [c85]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 - [c84]Huan Wang, Nitish Shirish Keskar, Caiming Xiong, Richard Socher:
Assessing Local Generalization Capability in Deep Models. AISTATS 2020: 2077-2087 - [c83]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 - [c82]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 - [c81]Yifan Gao, Chien-Sheng Wu, Jingjing Li, Shafiq R. Joty, Steven C. H. Hoi, Caiming Xiong, Irwin King, Michael R. Lyu:
Discern: Discourse-Aware Entailment Reasoning Network for Conversational Machine Reading. EMNLP (1) 2020: 2439-2449 - [c80]Yue Wang, Shafiq R. Joty, Michael R. Lyu, Irwin King, Caiming Xiong, Steven C. H. Hoi:
VD-BERT: A Unified Vision and Dialog Transformer with BERT. EMNLP (1) 2020: 3325-3338 - [c79]Congying Xia, Caiming Xiong, Philip S. Yu, Richard Socher:
Composed Variational Natural Language Generation for Few-shot Intents. EMNLP (Findings) 2020: 3379-3388 - [c78]Chien-Sheng Wu, Steven C. H. Hoi, Caiming Xiong:
Improving Limited Labeled Dialogue State Tracking with Self-Supervision. EMNLP (Findings) 2020: 4462-4472 - [c77]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 - [c76]Chien-Sheng Wu, Caiming Xiong:
Probing Task-Oriented Dialogue Representation from Language Models. EMNLP (1) 2020: 5036-5051 - [c75]Jianguo 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 - [c74]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 - [c73]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 - [c72]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 - [c71]Wojciech Kryscinski, Bryan McCann, Caiming Xiong, Richard Socher:
Evaluating the Factual Consistency of Abstractive Text Summarization. EMNLP (1) 2020: 9332-9346 - [c70]Akari Asai, Kazuma Hashimoto, Hannaneh Hajishirzi, Richard Socher, Caiming Xiong:
Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering. ICLR 2020 - [c69]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 - [c68]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 - [c67]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 - [c66]Huaxiu Yao, Yingbo Zhou, Mehrdad Mahdavi, Zhenhui Li, Richard Socher, Caiming Xiong:
Online Structured Meta-learning. NeurIPS 2020 - [c65]Pan Zhou, Jiashi Feng, Chao Ma, Caiming Xiong, Steven Chu-Hong Hoi, Weinan E:
Towards Theoretically Understanding Why Sgd Generalizes Better Than Adam in Deep Learning. NeurIPS 2020 - [c64]Pan Zhou, Caiming Xiong, Richard Socher, Steven Chu-Hong Hoi:
Theory-Inspired Path-Regularized Differential Network Architecture Search. NeurIPS 2020 - [i114]Peng Tang, Chetan Ramaiah, Ran Xu, Caiming Xiong:
Proposal Learning for Semi-Supervised Object Detection. CoRR abs/2001.05086 (2020) - [i113]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) - [i112]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) - [i111]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) - [i110]Lichao Sun, Yingbo Zhou, Philip S. Yu, Caiming Xiong:
Differentially Private Deep Learning with Smooth Sensitivity. CoRR abs/2003.00505 (2020) - [i109]Junnan Li, Caiming Xiong, Richard Socher, Steven C. H. Hoi:
Towards Noise-resistant Object Detection with Noisy Annotations. CoRR abs/2003.01285 (2020) - [i108]Lichao Sun, Kazuma Hashimoto, Wenpeng Yin, Akari Asai, Jia Li, Philip S. Yu, Caiming Xiong:
Adv-BERT: BERT is not robust on misspellings! Generating nature adversarial samples on BERT. CoRR abs/2003.04985 (2020) - [i107]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) - [i106]Yue Wang, Shafiq R. Joty, Michael R. Lyu, Irwin King, Caiming Xiong, Steven C. H. Hoi:
VD-BERT: A Unified Vision and Dialog Transformer with BERT. CoRR abs/2004.13278 (2020) - [i105]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) - [i104]Tianlu Wang, Xi Victoria Lin, Nazneen Fatema Rajani, Bryan McCann, Vicente Ordonez, Caiming Xiong:
Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation. CoRR abs/2005.00965 (2020) - [i103]Junnan Li, Pan Zhou, Caiming Xiong, Richard Socher, Steven C. H. Hoi:
Prototypical Contrastive Learning of Unsupervised Representations. CoRR abs/2005.04966 (2020) - [i102]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) - [i101]Mingfei Gao, Yingbo Zhou, Ran Xu, Richard Socher, Caiming Xiong:
WOAD: Weakly Supervised Online Action Detection in Untrimmed Videos. CoRR abs/2006.03732 (2020) - [i100]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) - [i99]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) - [i98]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) - [i97]Pan Zhou, Caiming Xiong, Richard Socher, Steven C. H. Hoi:
Theory-Inspired Path-Regularized Differential Network Architecture Search. CoRR abs/2006.16537 (2020) - [i96]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) - [i95]Alexander R. Fabbri, Wojciech Kryscinski, Bryan McCann, Caiming Xiong, Richard Socher, Dragomir R. Radev:
SummEval: Re-evaluating Summarization Evaluation. CoRR abs/2007.12626 (2020) - [i94]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) - [i93]Junnan Li, Caiming Xiong, Steven C. H. Hoi:
MoPro: Webly Supervised Learning with Momentum Prototypes. CoRR abs/2009.07995 (2020) - [i92]Congying Xia, Caiming Xiong, Philip S. Yu, Richard Socher:
Composed Variational Natural Language Generation for Few-shot Intents. CoRR abs/2009.10056 (2020) - [i91]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) - [i90]Yifan Gao, Chien-Sheng Wu, Jingjing Li, Shafiq R. Joty, Steven C. H. Hoi, Caiming Xiong, Irwin King, Michael R. Lyu:
Discern: Discourse-Aware Entailment Reasoning Network for Conversational Machine Reading. CoRR abs/2010.01838 (2020) - [i89]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) - [i88]Junwen Bai, Weiran Wang, Yingbo Zhou, Caiming Xiong:
Representation Learning for Sequence Data with Deep Autoencoding Predictive Components. CoRR abs/2010.03135 (2020) - [i87]Pan Zhou, Jiashi Feng, Chao Ma, Caiming Xiong, Steven C. H. Hoi, Weinan E:
Towards Theoretically Understanding Why SGD Generalizes Better Than ADAM in Deep Learning. CoRR abs/2010.05627 (2020) - [i86]Yu Bai, Minshuo Chen, Pan Zhou, Tuo Zhao, Jason D. Lee, Sham M. Kakade, Huan Wang, Caiming Xiong:
How Important is the Train-Validation Split in Meta-Learning? CoRR abs/2010.05843 (2020) - [i85]Nazneen Fatema Rajani, Ben Krause, Wengpeng Yin, Tong Niu, Richard Socher, Caiming Xiong:
Explaining and Improving Model Behavior with k Nearest Neighbor Representations. CoRR abs/2010.09030 (2020) - [i84]Huaxiu Yao, Yingbo Zhou, Mehrdad Mahdavi, Zhenhui Li, Richard Socher, Caiming Xiong:
Online Structured Meta-learning. CoRR abs/2010.11545 (2020) - [i83]Shiyang Li, Semih Yavuz, Kazuma Hashimoto, Jia Li, Tong Niu, Nazneen Fatema Rajani, Xifeng Yan, Yingbo Zhou, Caiming Xiong:
CoCo: Controllable Counterfactuals for Evaluating Dialogue State Trackers. CoRR abs/2010.12850 (2020) - [i82]Tong Niu, Semih Yavuz, Yingbo Zhou, Huan Wang, Nitish Shirish Keskar, Caiming Xiong:
Unsupervised Paraphrase Generation via Dynamic Blocking. CoRR abs/2010.12885 (2020) - [i81]Jianguo 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) - [i80]Chien-Sheng Wu, Caiming Xiong:
Probing Task-Oriented Dialogue Representation from Language Models. CoRR abs/2010.13912 (2020) - [i79]Chien-Sheng Wu, Steven Chu-Hong Hoi, Caiming Xiong:
Improving Limited Labeled Dialogue State Tracking with Self-Supervision. CoRR abs/2010.13920 (2020) - [i78]Hiroaki Hayashi, Wojciech Kryscinski, Bryan McCann, Nazneen Fatema Rajani, Caiming Xiong:
What's New? Summarizing Contributions in Scientific Literature. CoRR abs/2011.03161 (2020) - [i77]Junnan Li, Caiming Xiong, Steven C. H. Hoi:
CoMatch: Semi-supervised Learning with Contrastive Graph Regularization. CoRR abs/2011.11183 (2020) - [i76]Genta Indra Winata, Guangsen Wang, Caiming Xiong, Steven C. H. Hoi:
Adapt-and-Adjust: Overcoming the Long-Tail Problem of Multilingual Speech Recognition. CoRR abs/2012.01687 (2020) - [i75]Yao Wan, Yang He, Jianguo Zhang, Yulei Sui, Hai Jin, Guandong Xu, Caiming Xiong, Philip S. Yu:
NaturalCC: A Toolkit to Naturalize the Source Code Corpus. CoRR abs/2012.03225 (2020) - [i74]Govardana Sachithanandam Ramachandran, Ivan Brugere, Lav R. Varshney, Caiming Xiong:
GAEA: Graph Augmentation for Equitable Access via Reinforcement Learning. CoRR abs/2012.03900 (2020) - [i73]Junxian He, Wojciech Kryscinski, Bryan McCann, Nazneen Fatema Rajani, Caiming Xiong:
CTRLsum: Towards Generic Controllable Text Summarization. CoRR abs/2012.04281 (2020) - [i72]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) - [i71]Stanislaw Jastrzebski, Devansh Arpit, Oliver Åstrand, Giancarlo Kerg, Huan Wang, Caiming Xiong, Richard Socher, Kyunghyun Cho, Krzysztof Geras:
Catastrophic Fisher Explosion: Early Phase Fisher Matrix Impacts Generalization. CoRR abs/2012.14193 (2020) - [i70]Han Guo, Nazneen Fatema Rajani, Peter Hase, Mohit Bansal, Caiming Xiong:
FastIF: Scalable Influence Functions for Efficient Model Interpretation and Debugging. CoRR abs/2012.15781 (2020)
2010 – 2019
- 2019
- [c63]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 - [c62]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 - [c61]Nazneen Fatema Rajani, Bryan McCann, Caiming Xiong, Richard Socher:
Explain Yourself! Leveraging Language Models for Commonsense Reasoning. ACL (1) 2019: 4932-4942 - [c60]Jasdeep Singh, Bryan McCann, Richard Socher, Caiming Xiong:
BERT is Not an Interlingua and the Bias of Tokenization. DeepLo@EMNLP-IJCNLP 2019: 47-55 - [c59]Zuxuan Wu, Caiming Xiong, Chih-Yao Ma, Richard Socher, Larry S. Davis:
AdaFrame: Adaptive Frame Selection for Fast Video Recognition. CVPR 2019: 1278-1287 - [c58]Chih-Yao Ma, Zuxuan Wu, Ghassan AlRegib, Caiming Xiong, Zsolt Kira:
The Regretful Agent: Heuristic-Aided Navigation Through Progress Estimation. CVPR 2019: 6732-6740 - [c57]Wojciech Kryscinski, Nitish Shirish Keskar, Bryan McCann, Caiming Xiong, Richard Socher:
Neural Text Summarization: A Critical Evaluation. EMNLP/IJCNLP (1) 2019: 540-551 - [c56]Mingfei Gao, Larry Davis, Richard Socher, Caiming Xiong:
WSLLN: Weakly Supervised Natural Language Localization Networks. EMNLP/IJCNLP (1) 2019: 1481-1487 - [c55]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 - [c54]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 - [c53]Mingfei Gao, Mingze Xu, Larry Davis, Richard Socher, Caiming Xiong:
StartNet: Online Detection of Action Start in Untrimmed Videos. ICCV 2019: 5541-5550 - [c52]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 - [c51]Ehsan Hosseini-Asl, Yingbo Zhou, Caiming Xiong, Richard Socher:
Augmented Cyclic Adversarial Learning for Low Resource Domain Adaptation. ICLR (Poster) 2019 - [c50]Hao Liu, Alexander Trott, Richard Socher, Caiming Xiong:
Competitive experience replay. ICLR (Poster) 2019 - [c49]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 - [c48]Chien-Sheng Wu, Richard Socher, Caiming Xiong:
Global-to-local Memory Pointer Networks for Task-Oriented Dialogue. ICLR (Poster) 2019 - [c47]Victor Zhong, Caiming Xiong, Nitish Shirish Keskar, Richard Socher:
Coarse-grain Fine-grain Coattention Network for Multi-evidence Question Answering. ICLR (Poster) 2019 - [c46]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 - [c45]Hao Liu, Richard Socher, Caiming Xiong:
Taming MAML: Efficient unbiased meta-reinforcement learning. ICML 2019: 4061-4071 - [c44]Huan Wang, Stephan Zheng, Caiming Xiong, Richard Socher:
On the Generalization Gap in Reparameterizable Reinforcement Learning. ICML 2019: 6648-6658 - [c43]Zuxuan Wu, Caiming Xiong, Yu-Gang Jiang, Larry S. Davis:
LiteEval: A Coarse-to-Fine Framework for Resource Efficient Video Recognition. NeurIPS 2019: 7778-7787 - [c42]Alexander Trott, Stephan Zheng, Caiming Xiong, Richard Socher:
Keeping Your Distance: Solving Sparse Reward Tasks Using Self-Balancing Shaped Rewards. NeurIPS 2019: 10376-10386 - [c41]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 - [i69]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) - [i68]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) - [i67]Chien-Sheng Wu, Richard Socher, Caiming Xiong:
Global-to-local Memory Pointer Networks for Task-Oriented Dialogue. CoRR abs/1901.04713 (2019) - [i66]Hao Liu, Alexander Trott, Richard Socher, Caiming Xiong:
Competitive Experience Replay. CoRR abs/1902.00528 (2019) - [i65]Chih-Yao Ma, Zuxuan Wu, Ghassan AlRegib, Caiming Xiong, Zsolt Kira:
The Regretful Agent: Heuristic-Aided Navigation through Progress Estimation. CoRR abs/1903.01602 (2019) - [i64]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) - [i63]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) - [i62]Nitish Shirish Keskar, Bryan McCann, Caiming Xiong, Richard Socher:
Unifying Question Answering and Text Classification via Span Extraction. CoRR abs/1904.09286 (2019) - [i61]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) - [i60]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) - [i59]Huan Wang, Stephan Zheng, Caiming Xiong, Richard Socher:
On the Generalization Gap in Reparameterizable Reinforcement Learning. CoRR abs/1905.12654 (2019) - [i58]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) - [i57]Nazneen Fatema Rajani, Bryan McCann, Caiming Xiong, Richard Socher:
Explain Yourself! Leveraging Language Models for Commonsense Reasoning. CoRR abs/1906.02361 (2019) - [i56]Wenling Shang, Alexander Trott, Stephan Zheng, Caiming Xiong, Richard Socher:
Learning World Graphs to Accelerate Hierarchical Reinforcement Learning. CoRR abs/1907.00664 (2019) - [i55]Wojciech Kryscinski, Nitish Shirish Keskar, Bryan McCann, Caiming Xiong, Richard Socher:
Neural Text Summarization: A Critical Evaluation. CoRR abs/1908.08960 (2019) - [i54]Mingfei Gao, Larry S. Davis, Richard Socher, Caiming Xiong:
WSLLN: Weakly Supervised Natural Language Localization Networks. CoRR abs/1909.00239 (2019) - [i53]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) - [i52]Tong Niu, Caiming Xiong, Richard Socher:
Deleter: Leveraging BERT to Perform Unsupervised Successive Text Compression. CoRR abs/1909.03223 (2019) - [i51]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) - [i50]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) - [i49]Devansh Arpit, Caiming Xiong, Richard Socher:
Entropy Penalty: Towards Generalization Beyond the IID Assumption. CoRR abs/1910.00164 (2019) - [i48]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)