Behnam Neyshabur

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

Venues

Active years

2014–2023

Best venue rank

Where they publish

Papers

24 indexed papers, newest first.

Year	Venue	Title	Authors
2023	ICLR	REPAIR: REnormalizing Permuted Activations for Interpolation Repair.	Keller Jordan, Hanie Sedghi, Olga Saukh, Rahim Entezari, Behnam Neyshabur
2023	ICLR	Long Range Language Modeling via Gated State Spaces.	Harsh Mehta, Ankit Gupta, Ashok Cutkosky, Behnam Neyshabur
2022	ICLR	Exploring the Limits of Large Scale Pre-training.	Samira Abnar, Mostafa Dehghani, Behnam Neyshabur, Hanie Sedghi
2022	ICLR	The Role of Permutation Invariance in Linear Mode Connectivity of Neural Networks.	Rahim Entezari, Hanie Sedghi, Olga Saukh, Behnam Neyshabur
2022	ICLR	Leveraging unlabeled data to predict out-of-distribution performance.	Saurabh Garg, Sivaraman Balakrishnan, Zachary Chase Lipton, Behnam Neyshabur, Hanie Sedghi
2022	ICLR	A Loss Curvature Perspective on Training Instabilities of Deep Learning Models.	Justin Gilmer, Behrooz Ghorbani, Ankush Garg, Sneha Kudugunta, Behnam Neyshabur, David Cardoze, George Edward Dahl, Zachary Nado, Orhan Firat
2022	ICML	Data Scaling Laws in NMT: The Effect of Noise and Architecture.	Yamini Bansal, Behrooz Ghorbani, Ankush Garg, Biao Zhang, Colin Cherry, Behnam Neyshabur, Orhan Firat
2021	ICLR	Sharpness-aware Minimization for Efficiently Improving Generalization.	Pierre Foret, Ariel Kleiner, Hossein Mobahi, Behnam Neyshabur
2021	ICLR	Are wider nets better given the same number of parameters?	Anna Golubeva, Guy Gur-Ari, Behnam Neyshabur
2021	ICLR	Extreme Memorization via Scale of Initialization.	Harsh Mehta, Ashok Cutkosky, Behnam Neyshabur
2021	ICLR	Understanding the failure modes of out-of-distribution generalization.	Vaishnavh Nagarajan, Anders Andreassen, Behnam Neyshabur
2021	ICLR	The Deep Bootstrap Framework: Good Online Learners are Good Offline Generalizers.	Preetum Nakkiran, Behnam Neyshabur, Hanie Sedghi
2021	ICLR	When Do Curricula Work?	Xiaoxia Wu, Ethan Dyer, Behnam Neyshabur
2020	ICLR	The intriguing role of module criticality in the generalization of deep networks.	Niladri S. Chatterji, Behnam Neyshabur, Hanie Sedghi
2020	ICLR	Fantastic Generalization Measures and Where to Find Them.	Yiding Jiang, Behnam Neyshabur, Hossein Mobahi, Dilip Krishnan, Samy Bengio
2020	ICLR	Observational Overfitting in Reinforcement Learning.	Xingyou Song, Yiding Jiang, Stephen Tu, Yilun Du, Behnam Neyshabur
2019	ICLR	The role of over-parametrization in generalization of neural networks.	Behnam Neyshabur, Zhiyuan Li, Srinadh Bhojanapalli, Yann LeCun, Nathan Srebro
2018	ICLR	A PAC-Bayesian Approach to Spectrally-Normalized Margin Bounds for Neural Networks.	Behnam Neyshabur, Srinadh Bhojanapalli, Nathan Srebro
2018	ICML	Stronger Generalization Bounds for Deep Nets via a Compression Approach.	Sanjeev Arora, Rong Ge, Behnam Neyshabur, Yi Zhang
2018	ITA	Implicit Regularization in Matrix Factorization.	Suriya Gunasekar, Blake E. Woodworth, Srinadh Bhojanapalli, Behnam Neyshabur, Nathan Srebro
2017	COLT	Corralling a Band of Bandit Algorithms.	Alekh Agarwal, Haipeng Luo, Behnam Neyshabur, Robert E. Schapire
2015	COLT	Norm-Based Capacity Control in Neural Networks.	Behnam Neyshabur, Ryota Tomioka, Nathan Srebro
2015	ICML	On Symmetric and Asymmetric LSHs for Inner Product Search.	Behnam Neyshabur, Nathan Srebro
2014	ALT	Clustering, Hamming Embedding, Generalized LSH and the Max Norm.	Behnam Neyshabur, Yury Makarychev, Nathan Srebro