Caiming Xiong - AI Profile

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Unknow

Salesforce Research

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Machine Learning, Natural Language Processing, Computer Vision, Multimedia, Data Mining, Robust AI and AI for Good.

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Papers180 papers

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CoCo: Controllable Counterfactuals for Evaluating Dialogue State Trackers

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

ICLR, (2021)

Cited by1EIBibtex

Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models

Che Tong,Liu Xiaofeng, Li Site, Ge Yubin,Zhang Ruixiang,Xiong Caiming,Bengio Yoshua

AAAI, pp.7002-7010, (2021)

Cited by22EIBibtex

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

Yu Bai,Song Mei,Huan Wang,Caiming Xiong

ICML, pp.566-576, (2021)

EIBibtex

Prototypical Contrastive Learning of Unsupervised Representations

Li Junnan,Zhou Pan,Xiong Caiming,Socher Richard,Hoi Steven C. H.

ICLR, (2021)

Cited by71EIBibtex

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

Tianxing He,Bryan McCann,Caiming Xiong,Ehsan Hosseini-Asl

EACL, pp.1754-1761, (2021)

EIBibtex

Robustness Gym: Unifying the NLP Evaluation Landscape

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

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WOAD: Weakly Supervised Online Action Detection in Untrimmed Videos

Gao Mingfei, Zhou Yingbo, Xu Ran,Socher Richard,Xiong Caiming

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), (2021)

Cited by1Bibtex

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

NAACL-HLT, pp.432-447, (2021)

Cited by6EIBibtex

MoPro: Webly Supervised Learning with Momentum Prototypes

Junnan Li,Caiming Xiong,Steven C. H. Hoi

ICLR, (2021)

Cited by1EIBibtex

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

ICML, pp.4772-4784, (2021)

Cited by1EIBibtex

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

ICLR, (2021)

Cited by1EIBibtex

Representation Learning for Sequence Data with Deep Autoencoding Predictive Components

Junwen Bai, Weiran Wang,Yingbo Zhou,Caiming Xiong

ICLR, (2021)

EIBibtex

BERTology Meets Biology: Interpreting Attention in Protein Language Models

Jesse Vig, Ali Madani, Lav R. Varshney,Caiming Xiong,Richard Socher,Nazneen Fatema Rajani

ICLR, pp.1-21, (2021)

Cited by26EIBibtex

SCRIPT: Self-Critic PreTraining of Transformers

Erik Nijkamp,Bo Pang,Ying Nian Wu,Caiming Xiong

NAACL-HLT, pp.5196-5202, (2021)

EIBibtex

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

ICML, pp.543-553, (2021)

EIBibtex

Taylorized Training: Towards Better Approximation of Neural Network Training at Finite Width

Bai Yu, Krause Ben, Wang Huan,Xiong Caiming,Socher Richard

Cited by8Bibtex

Unsupervised Paraphrase Generation via Dynamic Blocking

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

Bibtex

Improving Limited Labeled Dialogue State Tracking with Self-Supervision

Chien-Sheng Wu,Steven Hoi,Caiming Xiong

EMNLP, pp.4462-4472, (2020)

EIBibtex

Explaining and Improving Model Behavior with k Nearest Neighbor Representations

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

Cited by4Bibtex

CoMatch: Semi-supervised Learning with Contrastive Graph Regularization

Junnan Li,Caiming Xiong,Steven Hoi

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Caiming XiongUnknow

Papers180 papers