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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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Pointer Value Retrieval: A new benchmark for understanding the limits of neural network generalization


Jul 27, 2021
Chiyuan Zhang, Maithra Raghu, Jon Kleinberg, Samy Bengio


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Teaching with Commentaries


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


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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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Anatomy of Catastrophic Forgetting: Hidden Representations and Task Semantics


Jul 14, 2020
Vinay V. Ramasesh, Ethan Dyer, Maithra Raghu


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A Survey of Deep Learning for Scientific Discovery


Mar 26, 2020
Maithra Raghu, Eric Schmidt


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Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML


Sep 19, 2019
Aniruddh Raghu, Maithra Raghu, Samy Bengio, Oriol Vinyals


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The Algorithmic Automation Problem: Prediction, Triage, and Human Effort


Mar 28, 2019
Maithra Raghu, Katy Blumer, Greg Corrado, Jon Kleinberg, Ziad Obermeyer, Sendhil Mullainathan


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Transfusion: Understanding Transfer Learning with Applications to Medical Imaging


Feb 14, 2019
Maithra Raghu, Chiyuan Zhang, Jon Kleinberg, Samy Bengio


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Insights on representational similarity in neural networks with canonical correlation


Oct 23, 2018
Ari S. Morcos, Maithra Raghu, Samy Bengio

* NIPS 2018 

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Direct Uncertainty Prediction for Medical Second Opinions


Sep 13, 2018
Maithra Raghu, Katy Blumer, Rory Sayres, Ziad Obermeyer, Sendhil Mullainathan, Jon Kleinberg


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Adversarial Spheres


Sep 10, 2018
Justin Gilmer, Luke Metz, Fartash Faghri, Samuel S. Schoenholz, Maithra Raghu, Martin Wattenberg, Ian Goodfellow


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Can Deep Reinforcement Learning Solve Erdos-Selfridge-Spencer Games?


Jun 29, 2018
Maithra Raghu, Alex Irpan, Jacob Andreas, Robert Kleinberg, Quoc V. Le, Jon Kleinberg

* Accepted to ICML 2018, code opensourced at: https://github.com/rubai5/ESS_Game 

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SVCCA: Singular Vector Canonical Correlation Analysis for Deep Learning Dynamics and Interpretability


Nov 08, 2017
Maithra Raghu, Justin Gilmer, Jason Yosinski, Jascha Sohl-Dickstein

* Accepted to NIPS 2017, code: https://github.com/google/svcca/ , new plots on Imagenet 

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On the Expressive Power of Deep Neural Networks


Jun 18, 2017
Maithra Raghu, Ben Poole, Jon Kleinberg, Surya Ganguli, Jascha Sohl-Dickstein

* Accepted to ICML 2017 

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Linear Additive Markov Processes


Apr 05, 2017
Ravi Kumar, Maithra Raghu, Tamas Sarlos, Andrew Tomkins

* Accepted to WWW 2017 

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Survey of Expressivity in Deep Neural Networks


Nov 24, 2016
Maithra Raghu, Ben Poole, Jon Kleinberg, Surya Ganguli, Jascha Sohl-Dickstein

* Presented at NIPS 2016 Workshop on Interpretable Machine Learning in Complex Systems 

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Exponential expressivity in deep neural networks through transient chaos


Jun 17, 2016
Ben Poole, Subhaneil Lahiri, Maithra Raghu, Jascha Sohl-Dickstein, Surya Ganguli

* Fixed equation references 

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