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Simon Kornblith

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Generalized Shape Metrics on Neural Representations

Oct 27, 2021
Alex H. Williams, Erin Kunz, Simon Kornblith, Scott W. Linderman

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Do Vision Transformers See Like Convolutional Neural Networks?

Aug 19, 2021
Maithra Raghu, Thomas Unterthiner, Simon Kornblith, Chiyuan Zhang, Alexey Dosovitskiy

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Big Self-Supervised Models Advance Medical Image Classification

Jan 13, 2021
Shekoofeh Azizi, Basil Mustafa, Fiona Ryan, Zachary Beaver, Jan Freyberg, Jonathan Deaton, Aaron Loh, Alan Karthikesalingam, Simon Kornblith, Ting Chen, Vivek Natarajan, Mohammad Norouzi

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Boosting Contrastive Self-Supervised Learning with False Negative Cancellation

Nov 23, 2020
Tri Huynh, Simon Kornblith, Matthew R. Walter, Michael Maire, Maryam Khademi

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Teaching with Commentaries

Nov 05, 2020
Aniruddh Raghu, Maithra Raghu, Simon Kornblith, David Duvenaud, Geoffrey Hinton

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What's in a Loss Function for Image Classification?

Oct 30, 2020
Simon Kornblith, Honglak Lee, Ting Chen, Mohammad Norouzi

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Do Wide and Deep Networks Learn the Same Things? Uncovering How Neural Network Representations Vary with Width and Depth

Oct 29, 2020
Thao Nguyen, Maithra Raghu, Simon Kornblith

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Big Self-Supervised Models are Strong Semi-Supervised Learners

Jun 17, 2020
Ting Chen, Simon Kornblith, Kevin Swersky, Mohammad Norouzi, Geoffrey Hinton

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A Simple Framework for Contrastive Learning of Visual Representations

Feb 13, 2020
Ting Chen, Simon Kornblith, Mohammad Norouzi, Geoffrey Hinton

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Generalised Lipschitz Regularisation Equals Distributional Robustness

Feb 11, 2020
Zac Cranko, Zhan Shi, Xinhua Zhang, Richard Nock, Simon Kornblith

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