| Generalization bounds for graph convolutional neural networks via Rademacher complexity | Feb 20, 2021 | Generalization Bounds | CodeCode Available | 0 |
| A PAC-Bayes Analysis of Adversarial Robustness | Feb 19, 2021 | Adversarial RobustnessGeneralization Bounds | CodeCode Available | 0 |
| Approximation and Learning with Deep Convolutional Models: a Kernel Perspective | Feb 19, 2021 | Additive modelsGeneralization Bounds | CodeCode Available | 0 |
| On the Sample Complexity of Stability Constrained Imitation Learning | Feb 18, 2021 | continuous-controlContinuous Control | —Unverified | 0 |
| SWAD: Domain Generalization by Seeking Flat Minima | Feb 17, 2021 | Domain GeneralizationGeneralization Bounds | CodeCode Available | 1 |
| A General Framework for the Practical Disintegration of PAC-Bayesian Bounds | Feb 17, 2021 | Generalization Bounds | CodeCode Available | 0 |
| Lexicographically Fair Learning: Algorithms and Generalization | Feb 16, 2021 | FairnessGeneralization Bounds | —Unverified | 0 |
| Generalization Bounds for Meta-Learning via PAC-Bayes and Uniform Stability | Feb 12, 2021 | Generalization BoundsMeta-Learning | CodeCode Available | 0 |
| Generalization of Model-Agnostic Meta-Learning Algorithms: Recurring and Unseen Tasks | Feb 7, 2021 | Generalization BoundsMeta-Learning | —Unverified | 0 |
| Dimension Free Generalization Bounds for Non Linear Metric Learning | Feb 7, 2021 | Generalization BoundsMetric Learning | —Unverified | 0 |
| Generalization Bounds for Noisy Iterative Algorithms Using Properties of Additive Noise Channels | Feb 5, 2021 | Federated LearningGeneralization Bounds | —Unverified | 0 |
| Information-Theoretic Generalization Bounds for Stochastic Gradient Descent | Feb 1, 2021 | Generalization BoundsStochastic Optimization | —Unverified | 0 |
| Robustness to Augmentations as a Generalization metric | Jan 16, 2021 | Generalization Bounds | CodeCode Available | 0 |
| Heating up decision boundaries: isocapacitory saturation, adversarial scenarios and generalization bounds | Jan 15, 2021 | Adversarial AttackAdversarial Defense | —Unverified | 0 |
| Sharper Generalization Bounds for Learning with Gradient-dominated Objective Functions | Jan 1, 2021 | Generalization BoundsStochastic Optimization | —Unverified | 0 |
| Effective Distributed Learning with Random Features: Improved Bounds and Algorithms | Jan 1, 2021 | Generalization Bounds | —Unverified | 0 |
| Beyond GNNs: A Sample Efficient Architecture for Graph Problems | Jan 1, 2021 | Generalization Bounds | —Unverified | 0 |
| f-Domain-Adversarial Learning: Theory and Algorithms for Unsupervised Domain Adaptation with Neural Networks | Jan 1, 2021 | Domain AdaptationGeneralization Bounds | —Unverified | 0 |
| Lipschitz-Bounded Equilibrium Networks | Jan 1, 2021 | Generalization Boundsimage-classification | —Unverified | 0 |
| Learning Better Structured Representations Using Low-rank Adaptive Label Smoothing | Jan 1, 2021 | Generalization BoundsMachine Translation | —Unverified | 0 |
| Estimating Lipschitz constants of monotone deep equilibrium models | Jan 1, 2021 | Generalization Bounds | —Unverified | 0 |
| Stability analysis of SGD through the normalized loss function | Jan 1, 2021 | Generalization Bounds | —Unverified | 0 |
| Robustness, Privacy, and Generalization of Adversarial Training | Dec 25, 2020 | Generalization BoundsPrivacy Preserving | CodeCode Available | 0 |
| A Tight Lower Bound for Uniformly Stable Algorithms | Dec 24, 2020 | Generalization BoundsLearning Theory | —Unverified | 0 |
| Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning | Dec 22, 2020 | Generalization BoundsLanguage Modeling | CodeCode Available | 1 |