| DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training. | 0 | 0.34 | 2022 |
| Huber Additive Models for Non-stationary Time Series Analysis | 0 | 0.34 | 2022 |
| Self-paced Supervision for Multi-source Domain Adaptation | 0 | 0.34 | 2022 |
| Robust Unlearnable Examples: Protecting Data Privacy Against Adversarial Learning | 0 | 0.34 | 2022 |
| Bridged Transformer for Vision and Point Cloud 3D Object Detection | 0 | 0.34 | 2022 |
| Topology-aware Generalization of Decentralized SGD. | 0 | 0.34 | 2022 |
| Tighter Generalization Bounds for Iterative Differentially Private Learning Algorithms. | 0 | 0.34 | 2021 |
| Artificial Neural Variability For Deep Learning: On Overfitting, Noise Memorization, And Catastrophic Forgetting | 0 | 0.34 | 2021 |
| Understanding Generalization in Recurrent Neural Networks. | 0 | 0.34 | 2020 |
| Piecewise linear activations substantially shape the loss surfaces of neural networks | 0 | 0.34 | 2020 |
| Piecewise linear activations substantially shape the loss surfaces of neural networks. | 0 | 0.34 | 2020 |
| Understanding Generalization in Recurrent Neural Networks | 1 | 0.34 | 2020 |
| Control Batch Size and Learning Rate to Generalize Well: Theoretical and Empirical Evidence | 2 | 0.36 | 2019 |
| Why ResNet Works? Residuals Generalize | 5 | 0.42 | 2019 |
| Fast Spatio-Temporal Residual Network For Video Super-Resolution | 6 | 0.41 | 2019 |
| Instance-Dependent PU Learning by Bayesian Optimal Relabeling. | 0 | 0.34 | 2018 |
