Yamini Bansal
Publications by Year
Research Areas
Domain Adaptation and Few-Shot Learning, Neural Networks and Applications, Stochastic Gradient Optimization Techniques, Machine Learning and Algorithms, Machine Learning and Data Classification
Most-Cited Works
- → Deep double descent: where bigger models and more data hurt*(2021)149 cited
- → On the information bottleneck theory of deep learning*(2019)142 cited
- → The unreasonable effectiveness of few-shot learning for machine translation(2023)24 cited
- → Revisiting Model Stitching to Compare Neural Representations(2021)22 cited
- → Distributional Generalization: A New Kind of Generalization(2020)13 cited
- → Minnorm training: an algorithm for training over-parameterized deep neural networks(2018)12 cited
- → Data Scaling Laws in NMT: The Effect of Noise and Architecture(2022)8 cited
- → For self-supervised learning, Rationality implies generalization, provably(2020)7 cited
- Minnorm training: an algorithm for training overcomplete deep neural networks(2018)