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papers_few-shot_AAAI2021.md

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  1. Tailoring Embedding Function to Heterogeneous Few-Shot Tasks by Global and Local Feature Adaptors
  2. Learning Intact Features by Erasing-Inpainting for Few-Shot Classification
  3. PTN: A Poisson Transfer Network for Semi-Supervised Few-Shot Learning
  4. Few-Shot Lifelong Learning
  5. Partial Is Better Than All: Revisiting Fine-Tuning Strategy for Few-Shot Learning
  6. Few-Shot One-Class Classification via Meta-Learning
  7. Relative and Absolute Location Embedding for Few-Shot Node Classification on Graph
  8. FL-MSRE: A Few-Shot Learning Based Approach to Multimodal Social Relation Extraction
  9. Learning a Few-Shot Embedding Model with Contrastive Learning
  10. Learning from My Friends: Few-Shot Personalized Conversation Systems via Social Networks
  11. Looking Wider for Better Adaptive Representation in Few-Shot Learning
  12. Few-Shot Class-Incremental Learning via Relation Knowledge Distillation
  13. Attributes-Guided and Pure-Visual Attention Alignment for Few-Shot Recognition
  14. Task Cooperation for Semi-Supervised Few-Shot Learning