Behnam Neyshabur
Publications by Year
Research Areas
Neural Networks and Applications, Advanced Neural Network Applications, Machine Learning and Data Classification, Domain Adaptation and Few-Shot Learning, Stochastic Gradient Optimization Techniques
Most-Cited Works
- → Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models(2022)548 cited
- Exploring Generalization in Deep Learning(2017)
- → Predicting protein–protein interactions through sequence-based deep learning(2018)389 cited
- → Solving Quantitative Reasoning Problems with Language Models(2022)281 cited
- Norm-Based Capacity Control in Neural Networks(2015)
- A PAC-Bayesian Approach to Spectrally-Normalized Margin Bounds for Neural Networks(2017)
- → Towards Understanding the Role of Over-Parametrization in Generalization of Neural Networks(2018)214 cited
- → What is being transferred in transfer learning?(2020)195 cited
- → NETAL: a new graph-based method for global alignment of protein–protein interaction networks(2013)188 cited