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Understanding the effect of sparsity on neural networks robustness


Jun 22, 2022
Lukas Timpl, Rahim Entezari, Hanie Sedghi, Behnam Neyshabur, Olga Saukh


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Leveraging Unlabeled Data to Predict Out-of-Distribution Performance


Feb 09, 2022
Saurabh Garg, Sivaraman Balakrishnan, Zachary C. Lipton, Behnam Neyshabur, Hanie Sedghi

* Accepted at ICLR 2022 

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The Role of Permutation Invariance in Linear Mode Connectivity of Neural Networks


Oct 12, 2021
Rahim Entezari, Hanie Sedghi, Olga Saukh, Behnam Neyshabur


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Exploring the Limits of Large Scale Pre-training


Oct 05, 2021
Samira Abnar, Mostafa Dehghani, Behnam Neyshabur, Hanie Sedghi


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Gradual Domain Adaptation in the Wild:When Intermediate Distributions are Absent


Jun 10, 2021
Samira Abnar, Rianne van den Berg, Golnaz Ghiasi, Mostafa Dehghani, Nal Kalchbrenner, Hanie Sedghi


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The Deep Bootstrap: Good Online Learners are Good Offline Generalizers


Oct 16, 2020
Preetum Nakkiran, Behnam Neyshabur, Hanie Sedghi


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What is being transferred in transfer learning?


Aug 26, 2020
Behnam Neyshabur, Hanie Sedghi, Chiyuan Zhang

* Equal contribution, authors ordered randomly 

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The intriguing role of module criticality in the generalization of deep networks


Dec 04, 2019
Niladri S. Chatterji, Behnam Neyshabur, Hanie Sedghi


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