Maithra Raghu

Publication Activity (10 Years)

Years Active: 2015-2022
Publications (10 Years): 41

Top Topics

Markov Processes

Transfer Learning

Top Venues

Publications

Thao Nguyen, Maithra Raghu, Simon Kornblith
On the Origins of the Block Structure Phenomenon in Neural Network Representations. CoRR (2022)
Emmanuel Abbe, Samy Bengio, Elisabetta Cornacchia, Jon M. Kleinberg, Aryo Lotfi, Maithra Raghu, Chiyuan Zhang
Learning to Reason with Neural Networks: Generalization, Unseen Data and Boolean Measures. CoRR (2022)
Emmanuel Abbe, Samy Bengio, Elisabetta Cornacchia, Jon M. Kleinberg, Aryo Lotfi, Maithra Raghu, Chiyuan Zhang
Learning to Reason with Neural Networks: Generalization, Unseen Data and Boolean Measures. NeurIPS (2022)
Thao Nguyen, Maithra Raghu, Simon Kornblith
On the Origins of the Block Structure Phenomenon in Neural Network Representations. Trans. Mach. Learn. Res. 2022 (2022)
Maithra Raghu, Thomas Unterthiner, Simon Kornblith, Chiyuan Zhang, Alexey Dosovitskiy
Do Vision Transformers See Like Convolutional Neural Networks? CoRR (2021)
Thao Nguyen, Maithra Raghu, Simon Kornblith
Do Wide and Deep Networks Learn the Same Things? Uncovering How Neural Network Representations Vary with Width and Depth. ICLR (2021)
Aniruddh Raghu, Maithra Raghu, Simon Kornblith, David Duvenaud, Geoffrey E. Hinton
Teaching with Commentaries. ICLR (2021)
Vinay Venkatesh Ramasesh, Ethan Dyer, Maithra Raghu
Anatomy of Catastrophic Forgetting: Hidden Representations and Task Semantics. ICLR (2021)
Chiyuan Zhang, Maithra Raghu, Jon M. Kleinberg, Samy Bengio
Pointer Value Retrieval: A new benchmark for understanding the limits of neural network generalization. CoRR (2021)
Maithra Raghu, Thomas Unterthiner, Simon Kornblith, Chiyuan Zhang, Alexey Dosovitskiy
Do Vision Transformers See Like Convolutional Neural Networks? NeurIPS (2021)
Vinay V. Ramasesh, Ethan Dyer, Maithra Raghu
Anatomy of Catastrophic Forgetting: Hidden Representations and Task Semantics. CoRR (2020)
Thao Nguyen, Maithra Raghu, Simon Kornblith
Do Wide and Deep Networks Learn the Same Things? Uncovering How Neural Network Representations Vary with Width and Depth. CoRR (2020)
Aniruddh Raghu, Maithra Raghu, Samy Bengio, Oriol Vinyals
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML. ICLR (2020)
Maithra Raghu, Eric Schmidt
A Survey of Deep Learning for Scientific Discovery. CoRR (2020)
Aniruddh Raghu, Maithra Raghu, Simon Kornblith, David Duvenaud, Geoffrey E. Hinton
Teaching with Commentaries. CoRR (2020)
Maithra Raghu, Katy Blumer, Greg Corrado, Jon M. Kleinberg, Ziad Obermeyer, Sendhil Mullainathan
The Algorithmic Automation Problem: Prediction, Triage, and Human Effort. CoRR (2019)
Aniruddh Raghu, Maithra Raghu, Samy Bengio, Oriol Vinyals
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML. CoRR (2019)
Maithra Raghu, Chiyuan Zhang, Jon M. Kleinberg, Samy Bengio
Transfusion: Understanding Transfer Learning with Applications to Medical Imaging. CoRR (2019)
Maithra Raghu, Chiyuan Zhang, Jon M. Kleinberg, Samy Bengio
Transfusion: Understanding Transfer Learning for Medical Imaging. NeurIPS (2019)
Maithra Raghu, Katy Blumer, Rory Sayres, Ziad Obermeyer, Robert D. Kleinberg, Sendhil Mullainathan, Jon M. Kleinberg
Direct Uncertainty Prediction for Medical Second Opinions. ICML (2019)
Ari S. Morcos, Maithra Raghu, Samy Bengio
Insights on representational similarity in neural networks with canonical correlation. NeurIPS (2018)
Maithra Raghu, Katy Blumer, Rory Sayres, Ziad Obermeyer, Sendhil Mullainathan, Jon M. Kleinberg
Direct Uncertainty Prediction with Applications to Healthcare. CoRR (2018)
Jon M. Kleinberg, Maithra Raghu
Team Performance with Test Scores. ACM Trans. Economics and Comput. 6 (3-4) (2018)
Maithra Raghu, Alex Irpan, Jacob Andreas, Robert Kleinberg, Quoc V. Le, Jon M. Kleinberg
Can Deep Reinforcement Learning solve Erdos-Selfridge-Spencer Games? ICLR (Workshop) (2018)
Ari S. Morcos, Maithra Raghu, Samy Bengio
Insights on representational similarity in neural networks with canonical correlation. CoRR (2018)
Maithra Raghu, Alex Irpan, Jacob Andreas, Robert Kleinberg, Quoc V. Le, Jon M. Kleinberg
Can Deep Reinforcement Learning Solve Erdos-Selfridge-Spencer Games? ICML (2018)
Justin Gilmer, Luke Metz, Fartash Faghri, Samuel S. Schoenholz, Maithra Raghu, Martin Wattenberg, Ian J. Goodfellow
Adversarial Spheres. CoRR (2018)
Justin Gilmer, Luke Metz, Fartash Faghri, Samuel S. Schoenholz, Maithra Raghu, Martin Wattenberg, Ian J. Goodfellow
Adversarial Spheres. ICLR (Workshop) (2018)
Maithra Raghu, Ben Poole, Jon M. Kleinberg, Surya Ganguli, Jascha Sohl-Dickstein
On the Expressive Power of Deep Neural Networks. ICML (2017)
Maithra Raghu, Justin Gilmer, Jason Yosinski, Jascha Sohl-Dickstein
SVCCA: Singular Vector Canonical Correlation Analysis for Deep Understanding and Improvement. CoRR (2017)
Ravi Kumar, Maithra Raghu, Tamás Sarlós, Andrew Tomkins
Linear Additive Markov Processes. WWW (2017)
Ravi Kumar, Maithra Raghu, Tamás Sarlós, Andrew Tomkins
Linear Additive Markov Processes. CoRR (2017)
Maithra Raghu, Alex Irpan, Jacob Andreas, Robert Kleinberg, Quoc V. Le, Jon M. Kleinberg
Can Deep Reinforcement Learning Solve Erdos-Selfridge-Spencer Games? CoRR (2017)
Justin Gilmer, Colin Raffel, Samuel S. Schoenholz, Maithra Raghu, Jascha Sohl-Dickstein
Explaining the Learning Dynamics of Direct Feedback Alignment. ICLR (Workshop) (2017)
Maithra Raghu, Justin Gilmer, Jason Yosinski, Jascha Sohl-Dickstein
SVCCA: Singular Vector Canonical Correlation Analysis for Deep Learning Dynamics and Interpretability. NIPS (2017)
Ben Poole, Subhaneil Lahiri, Maithra Raghu, Jascha Sohl-Dickstein, Surya Ganguli
Exponential expressivity in deep neural networks through transient chaos. CoRR (2016)
Ben Poole, Subhaneil Lahiri, Maithra Raghu, Jascha Sohl-Dickstein, Surya Ganguli
Exponential expressivity in deep neural networks through transient chaos. NIPS (2016)
Maithra Raghu, Ben Poole, Jon M. Kleinberg, Surya Ganguli, Jascha Sohl-Dickstein
On the expressive power of deep neural networks. CoRR (2016)
Maithra Raghu, Ben Poole, Jon M. Kleinberg, Surya Ganguli, Jascha Sohl-Dickstein
Survey of Expressivity in Deep Neural Networks. CoRR (2016)
Jon M. Kleinberg, Maithra Raghu
Team Performance with Test Scores. EC (2015)
Jon M. Kleinberg, Maithra Raghu
Team Performance with Test Scores. CoRR (2015)