論文閱讀筆記《Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning》
小樣本學習&元學習經典論文整理||持續更新 核心思想 本文提出了一種基於度量學習的小樣本學習算法（TEAM），與其他基於度量學習的算法相比，本文在特徵提取階段採用了一種Task Internal Mixing (TIM)數據增強方法，設計了一種能夠根據每個Episode進行自適應調整的距離度量方法Episodic-wise Adaptive Metric（EAM），並採用了一種雙向相似性度量方
相關文章
- 1. 論文閱讀：Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning（ICCV 2019）
- 2. Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning 論文筆記
- 3. 論文閱讀筆記《TADAM: Task dependent adaptive metric for improved few-shot learning》
- 4. TADAM: Task dependent adaptive metric for improved few-shot learning閱讀筆記
- 5. 論文閱讀Adaptive Subspaces for Few-Shot Learning
- 6. 論文閱讀筆記《Distribution Consistency Based Covariance Metric Networks for Few-Shot Learning》
- 7. 論文閱讀筆記《Adaptive Subspaces for Few-Shot Learning》
- 8. 論文閱讀筆記《Learning to propagate labels: Transductive propagation network for few-shot learning》
- 9. 論文閱讀筆記《Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace》
- 10. 論文閱讀筆記《Few-Shot Learning with Metric-Agnostic Conditional Embeddings》
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相關文章
- 1. 論文閱讀：Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning（ICCV 2019）
- 2. Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning 論文筆記
- 3. 論文閱讀筆記《TADAM: Task dependent adaptive metric for improved few-shot learning》
- 4. TADAM: Task dependent adaptive metric for improved few-shot learning閱讀筆記
- 5. 論文閱讀Adaptive Subspaces for Few-Shot Learning
- 6. 論文閱讀筆記《Distribution Consistency Based Covariance Metric Networks for Few-Shot Learning》
- 7. 論文閱讀筆記《Adaptive Subspaces for Few-Shot Learning》
- 8. 論文閱讀筆記《Learning to propagate labels: Transductive propagation network for few-shot learning》
- 9. 論文閱讀筆記《Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace》
- 10. 論文閱讀筆記《Few-Shot Learning with Metric-Agnostic Conditional Embeddings》