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Sample-Efficient Learning of Stackelberg Equilibria in General-Sum Games

Feb 23, 2021
Yu Bai, Chi Jin, Huan Wang, Caiming Xiong


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Localized Calibration: Metrics and Recalibration

Feb 22, 2021
Rachel Luo, Aadyot Bhatnagar, Huan Wang, Caiming Xiong, Silvio Savarese, Yu Bai, Shengjia Zhao, Stefano Ermon


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Don't Just Blame Over-parametrization for Over-confidence: Theoretical Analysis of Calibration in Binary Classification

Feb 15, 2021
Yu Bai, Song Mei, Huan Wang, Caiming Xiong


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Joint Energy-based Model Training for Better Calibrated Natural Language Understanding Models

Jan 18, 2021
Tianxing He, Bryan McCann, Caiming Xiong, Ehsan Hosseini-Asl

* EACL 2021 

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Robustness Gym: Unifying the NLP Evaluation Landscape

Jan 13, 2021
Karan Goel, Nazneen Rajani, Jesse Vig, Samson Tan, Jason Wu, Stephan Zheng, Caiming Xiong, Mohit Bansal, Christopher Ré

* 34 pages, 8 figures, 6 tables 

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FastIF: Scalable Influence Functions for Efficient Model Interpretation and Debugging

Dec 31, 2020
Han Guo, Nazneen Fatema Rajani, Peter Hase, Mohit Bansal, Caiming Xiong

* 18 pages 

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Bridging Textual and Tabular Data for Cross-Domain Text-to-SQL Semantic Parsing

Dec 31, 2020
Xi Victoria Lin, Richard Socher, Caiming Xiong

* EMNLP Findings 2020 long paper extended; 23 pages 

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Catastrophic Fisher Explosion: Early Phase Fisher Matrix Impacts Generalization

Dec 28, 2020
Stanislaw Jastrzebski, Devansh Arpit, Oliver Astrand, Giancarlo Kerg, Huan Wang, Caiming Xiong, Richard Socher, Kyunghyun Cho, Krzysztof Geras

* The last two authors contributed equally 

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CTRLsum: Towards Generic Controllable Text Summarization

Dec 08, 2020
Junxian He, Wojciech Kryściński, Bryan McCann, Nazneen Rajani, Caiming Xiong

* Preprint 

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GAEA: Graph Augmentation for Equitable Access via Reinforcement Learning

Dec 07, 2020
Govardana Sachithanandam Ramachandran, Ivan Brugere, Lav R. Varshney, Caiming Xiong


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Adapt-and-Adjust: Overcoming the Long-Tail Problem of Multilingual Speech Recognition

Dec 03, 2020
Genta Indra Winata, Guangsen Wang, Caiming Xiong, Steven Hoi


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CoMatch: Semi-supervised Learning with Contrastive Graph Regularization

Nov 23, 2020
Junnan Li, Caiming Xiong, Steven Hoi


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What's New? Summarizing Contributions in Scientific Literature

Nov 09, 2020
Hiroaki Hayashi, Wojciech Kryściński, Bryan McCann, Nazneen Rajani, Caiming Xiong

* 9 pages, 5 tables, 2 figures 

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Improving Limited Labeled Dialogue State Tracking with Self-Supervision

Oct 26, 2020
Chien-Sheng Wu, Steven Hoi, Caiming Xiong

* EMNLP 2020 (findings) 

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Probing Task-Oriented Dialogue Representation from Language Models

Oct 26, 2020
Chien-Sheng Wu, Caiming Xiong

* EMNLP 2020 

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Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language Inference

Oct 25, 2020
Jian-Guo Zhang, Kazuma Hashimoto, Wenhao Liu, Chien-Sheng Wu, Yao Wan, Philip S. Yu, Richard Socher, Caiming Xiong

* 19 pages, accepted by EMNLP 2020 main conference as a long paper. Code will be available at https://github.com/salesforce/DNNC-few-shot-intent 

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Unsupervised Paraphrase Generation via Dynamic Blocking

Oct 24, 2020
Tong Niu, Semih Yavuz, Yingbo Zhou, Huan Wang, Nitish Shirish Keskar, Caiming Xiong

* 10 pages 

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CoCo: Controllable Counterfactuals for Evaluating Dialogue State Trackers

Oct 24, 2020
Shiyang Li, Semih Yavuz, Kazuma Hashimoto, Jia Li, Tong Niu, Nazneen Rajani, Xifeng Yan, Yingbo Zhou, Caiming Xiong


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Online Structured Meta-learning

Oct 22, 2020
Huaxiu Yao, Yingbo Zhou, Mehrdad Mahdavi, Zhenhui Li, Richard Socher, Caiming Xiong

* Accepted by NeurIPS 2020 

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Explaining and Improving Model Behavior with k Nearest Neighbor Representations

Oct 18, 2020
Nazneen Fatema Rajani, Ben Krause, Wengpeng Yin, Tong Niu, Richard Socher, Caiming Xiong


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Discern: Discourse-Aware Entailment Reasoning Network for Conversational Machine Reading

Oct 16, 2020
Yifan Gao, Chien-Sheng Wu, Jingjing Li, Shafiq Joty, Steven C. H. Hoi, Caiming Xiong, Irwin King, Michael R. Lyu

* EMNLP 2020 main conference, 11 pages, 3 Figures 

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How Important is the Train-Validation Split in Meta-Learning?

Oct 12, 2020
Yu Bai, Minshuo Chen, Pan Zhou, Tuo Zhao, Jason D. Lee, Sham Kakade, Huan Wang, Caiming Xiong


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Towards Theoretically Understanding Why SGD Generalizes Better Than ADAM in Deep Learning

Oct 12, 2020
Pan Zhou, Jiashi Feng, Chao Ma, Caiming Xiong, Steven HOI, Weinan E

* NeurIPS 2020 

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Representation Learning for Sequence Data with Deep Autoencoding Predictive Components

Oct 07, 2020
Junwen Bai, Weiran Wang, Yingbo Zhou, Caiming Xiong


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Universal Natural Language Processing with Limited Annotations: Try Few-shot Textual Entailment as a Start

Oct 06, 2020
Wenpeng Yin, Nazneen Fatema Rajani, Dragomir Radev, Richard Socher, Caiming Xiong

* EMNLP2020 Long, camera-ready 

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GraPPa: Grammar-Augmented Pre-Training for Table Semantic Parsing

Sep 29, 2020
Tao Yu, Chien-Sheng Wu, Xi Victoria Lin, Bailin Wang, Yi Chern Tan, Xinyi Yang, Dragomir Radev, Richard Socher, Caiming Xiong

* 14 pages 

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Composed Variational Natural Language Generation for Few-shot Intents

Sep 21, 2020
Congying Xia, Caiming Xiong, Philip Yu, Richard Socher

* 10 pages, accepted to Findings of EMNLP 2020 

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