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Maithra Raghu
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Learning to Reason with Neural Networks: Generalization, Unseen Data and Boolean Measures


May 26, 2022
Emmanuel Abbe, Samy Bengio, Elisabetta Cornacchia, Jon Kleinberg, Aryo Lotfi, Maithra Raghu, Chiyuan Zhang

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* 28 pages, 8 figures 
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On the Origins of the Block Structure Phenomenon in Neural Network Representations


Feb 15, 2022
Thao Nguyen, Maithra Raghu, Simon Kornblith

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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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