Maithra Raghu - RankMe

41 papers A* 13Journal 23Unranked 5

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