| Generalization of Model-Agnostic Meta-Learning Algorithms: Recurring and Unseen Tasks | Feb 7, 2021 | Generalization BoundsMeta-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 |
| Stability analysis of SGD through the normalized loss function | Jan 1, 2021 | Generalization 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 |
| f-Domain-Adversarial Learning: Theory and Algorithms for Unsupervised Domain Adaptation with Neural Networks | Jan 1, 2021 | Domain AdaptationGeneralization Bounds | —Unverified | 0 |
| Beyond GNNs: A Sample Efficient Architecture for Graph Problems | Jan 1, 2021 | Generalization Bounds | —Unverified | 0 |
| Sharper Generalization Bounds for Learning with Gradient-dominated Objective Functions | Jan 1, 2021 | Generalization BoundsStochastic Optimization | —Unverified | 0 |
| Estimating Lipschitz constants of monotone deep equilibrium models | Jan 1, 2021 | Generalization Bounds | —Unverified | 0 |
| Effective Distributed Learning with Random Features: Improved Bounds and Algorithms | 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 |
| A PAC-Bayesian Approach to Generalization Bounds for Graph Neural Networks | Dec 14, 2020 | Generalization Bounds | —Unverified | 0 |
| NeurIPS 2020 Competition: Predicting Generalization in Deep Learning | Dec 14, 2020 | Decision MakingDeep Learning | —Unverified | 0 |
| Generalization bounds for deep learning | Dec 7, 2020 | Deep LearningGeneralization Bounds | —Unverified | 0 |
| A PAC-Bayesian Perspective on Structured Prediction with Implicit Loss Embeddings | Dec 7, 2020 | Generalization BoundsPrediction | CodeCode Available | 0 |
| Adapting Neural Architectures Between Domains | Dec 1, 2020 | Domain AdaptationGeneralization Bounds | CodeCode Available | 0 |
| Sharper Generalization Bounds for Pairwise Learning | Dec 1, 2020 | Generalization BoundsMetric Learning | —Unverified | 0 |
| Conditioning and Processing: Techniques to Improve Information-Theoretic Generalization Bounds | Dec 1, 2020 | Generalization Bounds | —Unverified | 0 |
| Instance-based Generalization in Reinforcement Learning | Dec 1, 2020 | Deep Reinforcement LearningGeneralization Bounds | —Unverified | 0 |
| Importance Weight Estimation and Generalization in Domain Adaptation under Label Shift | Nov 29, 2020 | Domain AdaptationGeneralization Bounds | CodeCode Available | 0 |
| Neural Abstract Reasoner | Nov 12, 2020 | Generalization Bounds | —Unverified | 0 |