| Can network pruning benefit deep learning under label noise? | Sep 29, 2021 | Deep LearningNetwork Pruning | —Unverified | 0 |
| k-Mixup Regularization for Deep Learning via Optimal Transport | Sep 29, 2021 | Adversarial RobustnessDeep Learning | —Unverified | 0 |
| Fast Generic Interaction Detection for Model Interpretability and Compression | Sep 29, 2021 | Deep Learningscientific discovery | —Unverified | 0 |
| Distribution-Driven Disjoint Prediction Intervals for Deep Learning | Sep 29, 2021 | Deep LearningPrediction | —Unverified | 0 |
| SALT : Sharing Attention between Linear layer and Transformer for tabular dataset | Sep 29, 2021 | Deep Learning | CodeCode Available | 0 |
| Practical Adversarial Training with Differential Privacy for Deep Learning | Sep 29, 2021 | Deep Learning | —Unverified | 0 |
| Kokoyi: Executable LaTeX for End-to-end Deep Learning | Sep 29, 2021 | Deep LearningMath | —Unverified | 0 |
| FedNAS: Federated Deep Learning via Neural Architecture Search | Sep 29, 2021 | Deep LearningFederated Learning | —Unverified | 0 |
| Non-reversible Parallel Tempering for Uncertainty Approximation in Deep Learning | Sep 29, 2021 | Deep Learning | —Unverified | 0 |
| Robust Unlearnable Examples: Protecting Data Privacy Against Adversarial Learning | Sep 29, 2021 | Deep Learning | —Unverified | 0 |
