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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

* code and pretrained models at https://github.com/google-research/simclr 

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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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Subclass Distillation


Feb 10, 2020
Rafael Müller, Simon Kornblith, Geoffrey Hinton

* Under review 

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Revisiting Spatial Invariance with Low-Rank Local Connectivity


Feb 07, 2020
Gamaleldin F. Elsayed, Prajit Ramachandran, Jonathon Shlens, Simon Kornblith


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Exploring the Origins and Prevalence of Texture Bias in Convolutional Neural Networks


Nov 20, 2019
Katherine L. Hermann, Simon Kornblith


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Saccader: Improving Accuracy of Hard Attention Models for Vision


Sep 11, 2019
Gamaleldin F. Elsayed, Simon Kornblith, Quoc V. Le


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When Does Label Smoothing Help?


Jun 06, 2019
Rafael Müller, Simon Kornblith, Geoffrey Hinton

* Under review 

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Cerberus: A Multi-headed Derenderer


May 28, 2019
Boyang Deng, Simon Kornblith, Geoffrey Hinton


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Similarity of Neural Network Representations Revisited


May 14, 2019
Simon Kornblith, Mohammad Norouzi, Honglak Lee, Geoffrey Hinton

* Accepted to ICML 2019 

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Domain Adaptive Transfer Learning with Specialist Models


Dec 11, 2018
Jiquan Ngiam, Daiyi Peng, Vijay Vasudevan, Simon Kornblith, Quoc V. Le, Ruoming Pang


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Lipschitz Networks and Distributional Robustness


Sep 04, 2018
Zac Cranko, Simon Kornblith, Zhan Shi, Richard Nock


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Do Better ImageNet Models Transfer Better?


May 23, 2018
Simon Kornblith, Jonathon Shlens, Quoc V. Le


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