| Recent advances in deep learning theory | Dec 20, 2020 | Bayesian InferenceDeep Learning | —Unverified | 0 |
| Towards Understanding Ensemble, Knowledge Distillation and Self-Distillation in Deep Learning | Dec 17, 2020 | Deep LearningKnowledge Distillation | —Unverified | 0 |
| Near-Optimal Statistical Query Hardness of Learning Halfspaces with Massart Noise | Dec 17, 2020 | Learning TheoryPAC learning | —Unverified | 0 |
| Reconstructing decision trees | Dec 16, 2020 | Learning Theory | —Unverified | 0 |
| Notes on Deep Learning Theory | Dec 10, 2020 | Deep LearningLearning Theory | —Unverified | 0 |
| Quantum learning algorithms imply circuit lower bounds | Dec 3, 2020 | Learning Theory | —Unverified | 0 |
| Margin-Based Transfer Bounds for Meta Learning with Deep Feature Embedding | Dec 2, 2020 | ClassificationGeneral Classification | —Unverified | 0 |
| On a Chatbot Navigating a User through a Concept-Based Knowledge Model | Dec 1, 2020 | AttributeChatbot | —Unverified | 0 |
| A Convenient Infinite Dimensional Framework for Generative Adversarial Learning | Nov 24, 2020 | Learning Theory | —Unverified | 0 |
| A General Framework for Distributed Inference with Uncertain Models | Nov 20, 2020 | Learning TheoryTwo-sample testing | —Unverified | 0 |
