| A deep deformable residual learning network for SAR images segmentation | Aug 15, 2023 | Learning TheorySegmentation | —Unverified | 0 | 0 |
| A deep learning theory for neural networks grounded in physics | Mar 18, 2021 | Deep LearningLearning Theory | —Unverified | 0 | 0 |
| A Denoising Loss Bound for Neural Network based Universal Discrete Denoisers | Sep 12, 2017 | DenoisingLearning Theory | —Unverified | 0 | 0 |
| Adversarial Robustness is at Odds with Lazy Training | Jun 18, 2022 | Adversarial RobustnessLearning Theory | —Unverified | 0 | 0 |
| Adversarial Robustness of Deep Learning: Theory, Algorithms, and Applications | Aug 24, 2021 | Adversarial RobustnessDeep Learning | —Unverified | 0 | 0 |
| Adversarial Training Can Provably Improve Robustness: Theoretical Analysis of Feature Learning Process Under Structured Data | Oct 11, 2024 | Learning Theory | —Unverified | 0 | 0 |
| A Formal Proof of PAC Learnability for Decision Stumps | Nov 1, 2019 | BIG-bench Machine LearningLearning Theory | —Unverified | 0 | 0 |
| A Framework of Learning Through Empirical Gain Maximization | Sep 29, 2020 | Learning Theoryregression | —Unverified | 0 | 0 |
| A General Characterization of the Statistical Query Complexity | Aug 7, 2016 | Learning Theory | —Unverified | 0 | 0 |
| A General Control-Theoretic Approach for Reinforcement Learning: Theory and Algorithms | Jun 20, 2024 | Learning TheoryQ-Learning | —Unverified | 0 | 0 |
