| Chaos and Complexity from Quantum Neural Network: A study with Diffusion Metric in Machine Learning | Nov 16, 2020 | BIG-bench Machine LearningLearning Theory | —Unverified | 0 |
| Towards Optimal Problem Dependent Generalization Error Bounds in Statistical Learning Theory | Nov 12, 2020 | Learning TheoryStochastic Optimization | —Unverified | 0 |
| A Survey of Label-noise Representation Learning: Past, Present and Future | Nov 9, 2020 | BIG-bench Machine LearningLearning Theory | CodeCode Available | 1 |
| Deep Active Learning with Augmentation-based Consistency Estimation | Nov 5, 2020 | Active LearningData Augmentation | CodeCode Available | 0 |
| Understanding Double Descent Requires a Fine-Grained Bias-Variance Decomposition | Nov 4, 2020 | Ensemble LearningLearning Theory | —Unverified | 0 |
| Direction Matters: On the Implicit Bias of Stochastic Gradient Descent with Moderate Learning Rate | Nov 4, 2020 | Learning Theory | —Unverified | 0 |
| Geometry Perspective Of Estimating Learning Capability Of Neural Networks | Nov 3, 2020 | Learning Theory | —Unverified | 0 |
| A Learning Theoretic Perspective on Local Explainability | Nov 2, 2020 | BIG-bench Machine LearningInterpretable Machine Learning | —Unverified | 0 |
| Toward Better Generalization Bounds with Locally Elastic Stability | Oct 27, 2020 | Generalization BoundsLearning Theory | —Unverified | 0 |
| Enforcing Interpretability and its Statistical Impacts: Trade-offs between Accuracy and Interpretability | Oct 26, 2020 | Binary ClassificationLearning Theory | —Unverified | 0 |
