Behnam Neyshabur
34 papers · 2013–2023 · 4 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 11 separate collaboration groups - the largest holds only 47% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Behnam Neyshabur?
4 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Hanie Sedghi, Rahim Entezari, Olga Saukh
7 papers
· 2020–2023
· ICLR, NeurIPS
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REPAIR: REnormalizing Permuted Activations for Interpolation Repair
ICLR 2023
Exploring the Limits of Large Scale Pre-training
ICLR 2022
Leveraging unlabeled data to predict out-of-distribution performance
ICLR 2022
The Role of Permutation Invariance in Linear Mode Connectivity of Neural Networks
ICLR 2022
The Deep Bootstrap Framework: Good Online Learners are Good Offline Generalizers
ICLR 2021
The intriguing role of module criticality in the generalization of deep networks
ICLR 2020
What is being transferred in transfer learning?
NeurIPS 2020
7 papers whose co-authors appear nowhere else under this name
Revisiting Neural Scaling Laws in Language and Vision
NeurIPS 2022
Deep Learning Through the Lens of Example Difficulty
NeurIPS 2021
Sharpness-aware Minimization for Efficiently Improving Generalization
ICLR 2021
Observational Overfitting in Reinforcement Learning
ICLR 2020
Towards Learning Convolutions from Scratch
NeurIPS 2020
Stronger Generalization Bounds for Deep Nets via a Compression Approach
ICML 2018
Corralling a Band of Bandit Algorithms
COLT 2017