Yash Sharma

How Adversarial Robustness Transfers from Pre-training to Downstream Tasks

Aug 07, 2022
Laura Fee Nern, Yash Sharma

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Weakly Supervised Deep Instance Nuclei Detection using Points Annotation in 3D Cardiovascular Immunofluorescent Images

Jul 29, 2022
Nazanin Moradinasab, Yash Sharma, Laura S. Shankman, Gary K. Owens, Donald E. Brown

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Pixel-level Correspondence for Self-Supervised Learning from Video

Jul 08, 2022
Yash Sharma, Yi Zhu, Chris Russell, Thomas Brox

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MaNi: Maximizing Mutual Information for Nuclei Cross-Domain Unsupervised Segmentation

Jun 29, 2022
Yash Sharma, Sana Syed, Donald E. Brown

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* Accepted at MICCAI 2022

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Encoding Cardiopulmonary Exercise Testing Time Series as Images for Classification using Convolutional Neural Network

Apr 26, 2022
Yash Sharma, Nick Coronato, Donald E. Brown

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* Accepted in NeurIPS 2021 - MLPH Workshop; EMBC 2022. Code: https://github.com/YashSharma/MultivariateTimeSeries

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Unsupervised Learning of Compositional Energy Concepts

Nov 04, 2021
Yilun Du, Shuang Li, Yash Sharma, Joshua B. Tenenbaum, Igor Mordatch

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* NeurIPS 2021, website and code at https://energy-based-model.github.io/comet/

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HistoTransfer: Understanding Transfer Learning for Histopathology

Jun 13, 2021
Yash Sharma, Lubaina Ehsan, Sana Syed, Donald E. Brown

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* Accepted at IEEE International Conference on Biomedical and Health Informatics (BHI'21). arXiv admin note: text overlap with arXiv:2103.10626

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Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style

Jun 08, 2021
Julius von Kügelgen, Yash Sharma, Luigi Gresele, Wieland Brendel, Bernhard Schölkopf, Michel Besserve, Francesco Locatello

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Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification

Mar 19, 2021
Yash Sharma, Aman Shrivastava, Lubaina Ehsan, Christopher A. Moskaluk, Sana Syed, Donald E. Brown

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* Submitted to MIDL, 2021 - https://openreview.net/forum?id=7i1-2oKIELU

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Contrastive Learning Inverts the Data Generating Process

Feb 17, 2021
Roland S. Zimmermann, Yash Sharma, Steffen Schneider, Matthias Bethge, Wieland Brendel

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* The first three authors, as well as the last two authors, contributed equally. Code is available at https://brendel-group.github.io/cl-ica

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