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 Nati Srebro, Srinadh Bhojanapalli, Nathan Srebro 16 papers · 2013–2022 · NeurIPS, ICLR, COLT Hide ▲

Block-Recurrent Transformers NeurIPS 2022 Exploring Length Generalization in Large Language Models NeurIPS 2022 Solving Quantitative Reasoning Problems with Language Models NeurIPS 2022 Are wider nets better given the same number of parameters? ICLR 2021 Understanding the failure modes of out-of-distribution generalization ICLR 2021 When Do Curricula Work? ICLR 2021 The role of over-parametrization in generalization of neural networks ICLR 2019 A PAC-Bayesian Approach to Spectrally-Normalized Margin Bounds for Neural Networks ICLR 2018 Exploring Generalization in Deep Learning NeurIPS 2017 Implicit Regularization in Matrix Factorization NeurIPS 2017 Global Optimality of Local Search for Low Rank Matrix Recovery NeurIPS 2016 Path-Normalized Optimization of Recurrent Neural Networks with ReLU Activations NeurIPS 2016 Norm-Based Capacity Control in Neural Networks COLT 2015 On Symmetric and Asymmetric LSHs for Inner Product Search ICML 2015 Path-SGD: Path-Normalized Optimization in Deep Neural Networks NeurIPS 2015 The Power of Asymmetry in Binary Hashing NeurIPS 2013

with Hanie Sedghi, Rahim Entezari, Olga Saukh 7 papers · 2020–2023 · ICLR, NeurIPS Show ▼

with Harsh Mehta, Ashok Cutkosky, Ankit Gupta 2 papers · 2021–2023 · ICLR Show ▼

with Behrooz Ghorbani, Ankush Garg, Orhan Firat 2 papers · 2022 · ICLR, ICML Show ▼

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

Venues · all papers under this name

ICLR (16) NeurIPS (13) ICML (3) COLT (2)