| Towards Explaining Adversarial Examples Phenomenon in Artificial Neural Networks | Jul 22, 2021 | Learning Theory | —Unverified | 0 |
| An induction proof of the backpropagation algorithm in matrix notation | Jul 20, 2021 | Deep LearningForm | —Unverified | 0 |
| Improved Learning Rates for Stochastic Optimization: Two Theoretical Viewpoints | Jul 19, 2021 | Learning TheoryStochastic Optimization | —Unverified | 0 |
| Continuous vs. Discrete Optimization of Deep Neural Networks | Jul 14, 2021 | Computational EfficiencyDeep Learning | CodeCode Available | 0 |
| A Framework for Machine Learning of Model Error in Dynamical Systems | Jul 14, 2021 | BIG-bench Machine LearningLearning Theory | CodeCode Available | 0 |
| On the Variance of the Fisher Information for Deep Learning | Jul 9, 2021 | Deep LearningForm | —Unverified | 0 |
| Learning an Explicit Hyperparameter Prediction Function Conditioned on Tasks | Jul 6, 2021 | BIG-bench Machine LearningDomain Generalization | CodeCode Available | 0 |
| The Last-Iterate Convergence Rate of Optimistic Mirror Descent in Stochastic Variational Inequalities | Jul 5, 2021 | Learning TheoryRelation | —Unverified | 0 |
| A Systems Theory of Transfer Learning | Jul 2, 2021 | Learning TheoryTransfer Learning | —Unverified | 0 |
| Learning Bounds for Open-Set Learning | Jun 30, 2021 | Learning TheoryOpen Set Learning | CodeCode Available | 1 |