| Learning to Augment Distributions for Out-of-Distribution Detection | Nov 3, 2023 | Learning TheoryOut-of-Distribution Detection | CodeCode Available | 1 |
| Why Do We Need Weight Decay in Modern Deep Learning? | Oct 6, 2023 | Deep Learningimage-classification | CodeCode Available | 1 |
| The Local Learning Coefficient: A Singularity-Aware Complexity Measure | Aug 23, 2023 | Inductive BiasLearning Theory | CodeCode Available | 1 |
| Scaling MLPs: A Tale of Inductive Bias | Jun 23, 2023 | Computational EfficiencyGPU | CodeCode Available | 1 |
| How Does Information Bottleneck Help Deep Learning? | May 30, 2023 | Deep LearningGeneralization Bounds | CodeCode Available | 1 |
| Double Descent Demystified: Identifying, Interpreting & Ablating the Sources of a Deep Learning Puzzle | Mar 24, 2023 | Learning Theoryregression | CodeCode Available | 1 |
| A Comprehensive Survey of Continual Learning: Theory, Method and Application | Jan 31, 2023 | Continual LearningLearning Theory | CodeCode Available | 1 |
| PACTran: PAC-Bayesian Metrics for Estimating the Transferability of Pretrained Models to Classification Tasks | Mar 10, 2022 | Learning TheoryModel Selection | CodeCode Available | 1 |
| A Structured Dictionary Perspective on Implicit Neural Representations | Dec 3, 2021 | Dictionary LearningInductive Bias | CodeCode Available | 1 |
| Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks | Nov 25, 2021 | Learning TheoryTopological Data Analysis | CodeCode Available | 1 |