 Learning Imbalanced Datasets with Label-Distribution-Aware Margin LossNeural Information Processing Systems (NeurIPS), 2019 |
 Are Anchor Points Really Indispensable in Label-Noise Learning?Neural Information Processing Systems (NeurIPS), 2019 |
 mixup: Beyond Empirical Risk MinimizationInternational Conference on Learning Representations (ICLR), 2017 |
 Densely Connected Convolutional NetworksComputer Vision and Pattern Recognition (CVPR), 2016 |
 Learning with Symmetric Label Noise: The Importance of Being UnhingedNeural Information Processing Systems (NeurIPS), 2015 |
 Very Deep Convolutional Networks for Large-Scale Image RecognitionInternational Conference on Learning Representations (ICLR), 2014 |
 On the Number of Linear Regions of Deep Neural NetworksNeural Information Processing Systems (NeurIPS), 2014 |
