Raghu, Maithra

15 publications

NeurIPS 2022 Learning to Reason with Neural Networks: Generalization, Unseen Data and Boolean Measures Emmanuel Abbe, Samy Bengio, Elisabetta Cornacchia, Jon M. Kleinberg, Aryo Lotfi, Maithra Raghu, Chiyuan Zhang

TMLR 2022 On the Origins of the Block Structure Phenomenon in Neural Network Representations Thao Nguyen, Maithra Raghu, Simon Kornblith

ICLR 2021 Anatomy of Catastrophic Forgetting: Hidden Representations and Task Semantics Vinay Venkatesh Ramasesh, Ethan Dyer, Maithra Raghu

NeurIPS 2021 Do Vision Transformers See like Convolutional Neural Networks? Maithra Raghu, Thomas Unterthiner, Simon Kornblith, Chiyuan Zhang, Alexey Dosovitskiy

ICLR 2021 Do Wide and Deep Networks Learn the Same Things? Uncovering How Neural Network Representations Vary with Width and Depth Thao Nguyen, Maithra Raghu, Simon Kornblith

ICLR 2021 Teaching with Commentaries Aniruddh Raghu, Maithra Raghu, Simon Kornblith, David Duvenaud, Geoffrey Hinton

ICLR 2020 Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML Aniruddh Raghu, Maithra Raghu, Samy Bengio, Oriol Vinyals

ICML 2019 Direct Uncertainty Prediction for Medical Second Opinions Maithra Raghu, Katy Blumer, Rory Sayres, Ziad Obermeyer, Bobby Kleinberg, Sendhil Mullainathan, Jon Kleinberg

NeurIPS 2019 Transfusion: Understanding Transfer Learning for Medical Imaging Maithra Raghu, Chiyuan Zhang, Jon Kleinberg, Samy Bengio

ICML 2018 Can Deep Reinforcement Learning Solve Erdos-Selfridge-Spencer Games? Maithra Raghu, Alex Irpan, Jacob Andreas, Bobby Kleinberg, Quoc Le, Jon Kleinberg

NeurIPS 2018 Insights on Representational Similarity in Neural Networks with Canonical Correlation Ari Morcos, Maithra Raghu, Samy Bengio

ICLR 2017 Explaining the Learning Dynamics of Direct Feedback Alignment Justin Gilmer, Colin Raffel, Samuel S. Schoenholz, Maithra Raghu, Jascha Sohl-Dickstein

ICML 2017 On the Expressive Power of Deep Neural Networks Maithra Raghu, Ben Poole, Jon Kleinberg, Surya Ganguli, Jascha Sohl-Dickstein

NeurIPS 2017 SVCCA: Singular Vector Canonical Correlation Analysis for Deep Learning Dynamics and Interpretability Maithra Raghu, Justin Gilmer, Jason Yosinski, Jascha Sohl-Dickstein

NeurIPS 2016 Exponential Expressivity in Deep Neural Networks Through Transient Chaos Ben Poole, Subhaneil Lahiri, Maithra Raghu, Jascha Sohl-Dickstein, Surya Ganguli