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Estimating the Density Ratio between Distributions with High Discrepancy using Multinomial Logistic Regression


May 01, 2023
Akash Srivastava, Seungwook Han, Kai Xu, Benjamin Rhodes, Michael U. Gutmann

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* TMLR 2023 

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Constructive Assimilation: Boosting Contrastive Learning Performance through View Generation Strategies


Apr 08, 2023
Ligong Han, Seungwook Han, Shivchander Sudalairaj, Charlotte Loh, Rumen Dangovski, Fei Deng, Pulkit Agrawal, Dimitris Metaxas, Leonid Karlinsky, Tsui-Wei Weng, Akash Srivastava

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* Accepted at Generative Models for Computer Vision Workshop 2023 

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Multi-Symmetry Ensembles: Improving Diversity and Generalization via Opposing Symmetries


Mar 04, 2023
Charlotte Loh, Seungwook Han, Shivchander Sudalairaj, Rumen Dangovski, Kai Xu, Florian Wenzel, Marin Soljacic, Akash Srivastava

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* 15 pages 

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On the Importance of Calibration in Semi-supervised Learning


Oct 10, 2022
Charlotte Loh, Rumen Dangovski, Shivchander Sudalairaj, Seungwook Han, Ligong Han, Leonid Karlinsky, Marin Soljacic, Akash Srivastava

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* 24 pages 

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Equivariant Contrastive Learning


Oct 28, 2021
Rumen Dangovski, Li Jing, Charlotte Loh, Seungwook Han, Akash Srivastava, Brian Cheung, Pulkit Agrawal, Marin Soljačić

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* 17 pages, 5 figures 

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not-so-BigGAN: Generating High-Fidelity Images on a Small Compute Budget


Sep 09, 2020
Seungwook Han, Akash Srivastava, Cole Hurwitz, Prasanna Sattigeri, David D. Cox

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