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Weakly Supervised Data Augmentation Through Prompting for Dialogue Understanding


Nov 02, 2022
Maximillian Chen, Alexandros Papangelis, Chenyang Tao, Andy Rosenbaum, Seokhwan Kim, Yang Liu, Zhou Yu, Dilek Hakkani-Tur

* To appear in SyntheticData4ML @ NeurIPS 2022. 16 pages, 10 figures, 3 tables 

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Finite-Time Consensus Learning for Decentralized Optimization with Nonlinear Gossiping


Nov 13, 2021
Junya Chen, Sijia Wang, Lawrence Carin, Chenyang Tao


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Variational Inference with Holder Bounds


Nov 13, 2021
Junya Chen, Danni Lu, Zidi Xiu, Ke Bai, Lawrence Carin, Chenyang Tao


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Imputation-Free Learning from Incomplete Observations


Jul 05, 2021
Qitong Gao, Dong Wang, Joshua D. Amason, Siyang Yuan, Chenyang Tao, Ricardo Henao, Majda Hadziahmetovic, Lawrence Carin, Miroslav Pajic


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Simpler, Faster, Stronger: Breaking The log-K Curse On Contrastive Learners With FlatNCE


Jul 02, 2021
Junya Chen, Zhe Gan, Xuan Li, Qing Guo, Liqun Chen, Shuyang Gao, Tagyoung Chung, Yi Xu, Belinda Zeng, Wenlian Lu, Fan Li, Lawrence Carin, Chenyang Tao


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Tight Mutual Information Estimation With Contrastive Fenchel-Legendre Optimization


Jul 02, 2021
Qing Guo, Junya Chen, Dong Wang, Yuewei Yang, Xinwei Deng, Lawrence Carin, Fan Li, Chenyang Tao


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Proactive Pseudo-Intervention: Causally Informed Contrastive Learning For Interpretable Vision Models


Dec 06, 2020
Dong Wang, Yuewei Yang, Chenyang Tao, Fanjie Kong, Ricardo Henao, Lawrence Carin


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Supercharging Imbalanced Data Learning With Causal Representation Transfer


Nov 25, 2020
Junya Chen, Zidi Xiu, Benjamin Goldstein, Ricardo Henao, Lawrence Carin, Chenyang Tao


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