• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 41 matches

• 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)
• 
  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. CoRR abs/2202.07184 (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 abs/2205.13647 (2022)
• 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
• 
  Maithra Raghu, Thomas Unterthiner, Simon Kornblith, Chiyuan Zhang, Alexey Dosovitskiy:
  Do Vision Transformers See Like Convolutional Neural Networks? NeurIPS 2021: 12116-12128
• 
  Chiyuan Zhang, Maithra Raghu, Jon M. Kleinberg, Samy Bengio:
  Pointer Value Retrieval: A new benchmark for understanding the limits of neural network generalization. CoRR abs/2107.12580 (2021)
• 
  Maithra Raghu, Thomas Unterthiner, Simon Kornblith, Chiyuan Zhang, Alexey Dosovitskiy:
  Do Vision Transformers See Like Convolutional Neural Networks? CoRR abs/2108.08810 (2021)
• 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 abs/2003.11755 (2020)
• 
  Vinay V. Ramasesh, Ethan Dyer, Maithra Raghu:
  Anatomy of Catastrophic Forgetting: Hidden Representations and Task Semantics. CoRR abs/2007.07400 (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 abs/2010.15327 (2020)
• 
  Aniruddh Raghu, Maithra Raghu, Simon Kornblith, David Duvenaud, Geoffrey E. Hinton:
  Teaching with Commentaries. CoRR abs/2011.03037 (2020)
• 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: 5281-5290
• 
  Maithra Raghu, Chiyuan Zhang, Jon M. Kleinberg, Samy Bengio:
  Transfusion: Understanding Transfer Learning for Medical Imaging. NeurIPS 2019: 3342-3352
• 
  Maithra Raghu, Chiyuan Zhang, Jon M. Kleinberg, Samy Bengio:
  Transfusion: Understanding Transfer Learning with Applications to Medical Imaging. CoRR abs/1902.07208 (2019)
• 
  Maithra Raghu, Katy Blumer, Greg Corrado, Jon M. Kleinberg, Ziad Obermeyer, Sendhil Mullainathan:
  The Algorithmic Automation Problem: Prediction, Triage, and Human Effort. CoRR abs/1903.12220 (2019)
• 
  Aniruddh Raghu, Maithra Raghu, Samy Bengio, Oriol Vinyals:
  Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML. CoRR abs/1909.09157 (2019)
• 2018
• 
  Jon M. Kleinberg, Maithra Raghu:
  Team Performance with Test Scores. ACM Trans. Economics and Comput. 6(3-4): 17:1-17:26 (2018)
• 
  Justin Gilmer, Luke Metz, Fartash Faghri, Samuel S. Schoenholz, Maithra Raghu, Martin Wattenberg, Ian J. Goodfellow:
  Adversarial Spheres. ICLR (Workshop) 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
• 
  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: 4235-4243
• 
  Ari S. Morcos, Maithra Raghu, Samy Bengio:
  Insights on representational similarity in neural networks with canonical correlation. NeurIPS 2018: 5732-5741
• 
  Justin Gilmer, Luke Metz, Fartash Faghri, Samuel S. Schoenholz, Maithra Raghu, Martin Wattenberg, Ian J. Goodfellow:
  Adversarial Spheres. CoRR abs/1801.02774 (2018)
• 
  Ari S. Morcos, Maithra Raghu, Samy Bengio:
  Insights on representational similarity in neural networks with canonical correlation. CoRR abs/1806.05759 (2018)
• 
  Maithra Raghu, Katy Blumer, Rory Sayres, Ziad Obermeyer, Sendhil Mullainathan, Jon M. Kleinberg:
  Direct Uncertainty Prediction with Applications to Healthcare. CoRR abs/1807.01771 (2018)
• 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, Ben Poole, Jon M. Kleinberg, Surya Ganguli, Jascha Sohl-Dickstein:
  On the Expressive Power of Deep Neural Networks. ICML 2017: 2847-2854

skipping 11 more matches