Yang Lu

Yang Lu

Assistant Professor, Xiamen University

论文阅读清单

深度学习（必选）

  1. Deep residual learning for image recognition
  2. Focal loss for dense object detection
  3. A Simple Framework for Contrastive Learning of Visual Representations

细分方向（五选一）

联邦学习

  1. Federated Learning on Heterogeneous and Long-Tailed Data via Classifier Re-Training with Federated Features

  2. Ensemble Distillation for Robust Model Fusion in Federated Learning
  3. Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint Learning

长尾学习

  1. Feature space augmentation for long-tailed data
  2. Long-tailed Recognition by Routing Diverse Distribution-Aware Experts
  3. BBN: Bilateral-branch network with cumulative learning for long-tailed visual recognition

持续学习

  1. iCaRL: Incremental Classifier and Representation Learning
  2. Gradient episodic memory for continual learning
  3. Large scale incremental learning

半监督学习

  1. FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidenc
  2. Mixmatch: A holistic approach to semi-supervised learning
  3. Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results

噪声标签学习

  1. Co-teaching: Robust training of deep neural networks with extremely noisy labels
  2. Meta-weight-net: Learning an explicit mapping for sample weighting
  3. Dividemix: Learning with noisy labels as semi-supervised learning