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Lawrence Carin

Efficient Continual Adaptation for Generative Adversarial Networks


Mar 06, 2021
Sakshi Varshney, Vinay Kumar Verma, Lawrence Carin, Piyush Rai

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* Under Submission 
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Meta-Learned Attribute Self-Gating for Continual Generalized Zero-Shot Learning


Feb 23, 2021
Vinay Kumar Verma, Kevin Liang, Nikhil Mehta, Lawrence Carin

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* Under Review 
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FLOP: Federated Learning on Medical Datasets using Partial Networks


Feb 10, 2021
Qian Yang, Jianyi Zhang, Weituo Hao, Gregory Spell, Lawrence Carin

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Reinforcement Learning for Flexibility Design Problems


Jan 18, 2021
Yehua Wei, Lei Zhang, Ruiyi Zhang, Shijing Si, Hao Zhang, Lawrence Carin

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What Makes Good In-Context Examples for GPT-$3$?


Jan 17, 2021
Jiachang Liu, Dinghan Shen, Yizhe Zhang, Bill Dolan, Lawrence Carin, Weizhu Chen

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Learning Graphons via Structured Gromov-Wasserstein Barycenters


Dec 17, 2020
Hongteng Xu, Dixin Luo, Lawrence Carin, Hongyuan Zha

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* AAAI 2021 
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Wasserstein Contrastive Representation Distillation


Dec 15, 2020
Liqun Chen, Zhe Gan, Dong Wang, Jingjing Liu, Ricardo Henao, Lawrence Carin

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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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