Maithra Raghu
Maithra Raghu
Cornell University and Google Brain
Verified email at google.com - Homepage
TitleCited byYear
Exponential expressivity in deep neural networks through transient chaos
B Poole, S Lahiri, M Raghu, J Sohl-Dickstein, S Ganguli
Advances in Neural Information Processing Systems, 3360-3368, 2016
496*2016
On the expressive power of deep neural networks
M Raghu, B Poole, J Kleinberg, S Ganguli, JS Dickstein
Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017
2722017
Adversarial Spheres
J Gilmer, L Metz, F Faghri, SS Schoenholz, M Raghu, M Wattenberg, ...
arXiv preprint arXiv:1801.02774, 2018
1262018
SVCCA: Singular Vector Canonical Correlation Analysis for Deep Understanding and Improvement
M Raghu, J Gilmer, J Yosinski, J Sohl-Dickstein
Advances in Neural Information Processing Systems, 6072-6081, 2017
113*2017
Insights on representational similarity in neural networks with canonical correlation
A Morcos, M Raghu, S Bengio
Advances in Neural Information Processing Systems, 5727-5736, 2018
432018
Transfusion: Understanding transfer learning for medical imaging
M Raghu, C Zhang, J Kleinberg, S Bengio
Advances in Neural Information Processing Systems, 3342-3352, 2019
17*2019
Team performance with test scores
J Kleinberg, M Raghu
ACM Transactions on Economics and Computation (TEAC) 6 (3-4), 17, 2018
122018
Can Deep Reinforcement Learning Solve Erdos-Selfridge-Spencer Games?
M Raghu, A Irpan, J Andreas, R Kleinberg, QV Le, J Kleinberg
arXiv preprint arXiv:1711.02301, 2017
112017
Direct uncertainty prediction for medical second opinions
M Raghu, K Blumer, R Sayres, Z Obermeyer, B Kleinberg, S Mullainathan, ...
International Conference on Machine Learning, 5281-5290, 2019
9*2019
Linear Additive Markov Processes
R Kumar, M Raghu, T Sarlos, A Tomkins
arXiv preprint arXiv:1704.01255, 2017
72017
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML
A Raghu, M Raghu, S Bengio, O Vinyals
arXiv preprint arXiv:1909.09157, 2019
32019
The Algorithmic Automation Problem: Prediction, Triage, and Human Effort
M Raghu, K Blumer, G Corrado, J Kleinberg, Z Obermeyer, ...
arXiv preprint arXiv:1903.12220, 2019
32019
Explaining the Learning Dynamics of Direct Feedback Alignment
J Gilmer, C Raffel, SS Schoenholz, M Raghu, J Sohl-Dickstein
12017
Supplementary material for Exponential expressivity in deep neural networks through transient chaos
B Poole, S Lahiri, M Raghu, J Sohl-Dickstein, S Ganguli
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Articles 1–14