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ProGen2: Exploring the Boundaries of Protein Language Models


Jun 27, 2022
Erik Nijkamp, Jeffrey Ruffolo, Eli N. Weinstein, Nikhil Naik, Ali Madani


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Can domain adaptation make object recognition work for everyone?


Apr 23, 2022
Viraj Prabhu, Ramprasaath R. Selvaraju, Judy Hoffman, Nikhil Naik

* Published at the L3D-IVU workshop at CVPR 2022 

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CLIP-Lite: Information Efficient Visual Representation Learning from Textual Annotations


Dec 14, 2021
Aman Shrivastava, Ramprasaath R. Selvaraju, Nikhil Naik, Vicente Ordonez


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PreViTS: Contrastive Pretraining with Video Tracking Supervision


Dec 01, 2021
Brian Chen, Ramprasaath R. Selvaraju, Shih-Fu Chang, Juan Carlos Niebles, Nikhil Naik


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Field Extraction from Forms with Unlabeled Data


Oct 08, 2021
Mingfei Gao, Zeyuan Chen, Nikhil Naik, Kazuma Hashimoto, Caiming Xiong, Ran Xu


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Deep Extrapolation for Attribute-Enhanced Generation


Jul 07, 2021
Alvin Chan, Ali Madani, Ben Krause, Nikhil Naik


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CASTing Your Model: Learning to Localize Improves Self-Supervised Representations


Dec 08, 2020
Ramprasaath R. Selvaraju, Karan Desai, Justin Johnson, Nikhil Naik


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Designing Interpretable Approximations to Deep Reinforcement Learning with Soft Decision Trees


Oct 28, 2020
Nathan Dahlin, Krishna Chaitanya Kalagarla, Nikhil Naik, Rahul Jain, Pierluigi Nuzzo


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The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies


Apr 28, 2020
Stephan Zheng, Alexander Trott, Sunil Srinivasa, Nikhil Naik, Melvin Gruesbeck, David C. Parkes, Richard Socher

* 46 pages, 21 figures 

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Improving out-of-distribution generalization via multi-task self-supervised pretraining


Mar 30, 2020
Isabela Albuquerque, Nikhil Naik, Junnan Li, Nitish Keskar, Richard Socher


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