CVPR 2020 & AAAI 2020元学习(Meta-learning)及小样本学习(Few-shot learning)等方向上接收论文总结

目录

  • CVPR 2020
  • AAAI 2020
  • 其他值得关注的论文
  • 参考资料

CVPR 2020

官网链接:http://cvpr2020.thecvf.com/
时间:Seattle, Washington,2020年6月14日-6月19日

  1. Meta-Transfer Learning for Zero-Shot Super-Resolution
  • 论文:https://arxiv.org/abs/2002.12213
  1. Improved Few-Shot Visual Classification
  • 论文:https://arxiv.org/pdf/1912.03432.pdf
  1. Instance Credibility Inference for Few-Shot Learning
  • 论文:https://arxiv.org/abs/2003.11853
  • 代码:https://github.com/Yikai-Wang/ICI-FSL
  1. Tracking by Instance Detection: A Meta-Learning Approach(oral)
  • 论文:https://arxiv.org/abs/2004.00830
  1. Few-Shot Object Detection with Attention-RPN and Multi-Relation Detector
  • 论文:https://arxiv.org/abs/1908.01998
  1. Rethinking Zero-shot Video Classification: End-to-end Training for Realistic Applications
  • 论文:https://arxiv.org/abs/2003.01455
  • 代码:https://github.com/bbrattoli/ZeroShotVideoClassification
  1. DPGN: Distribution Propagation Graph Network for Few-shot Learning
  • 论文:https://arxiv.org/abs/2003.14247
  1. Few-Shot Class-Incremental Learning(oral)
  • 论文:https://arxiv.org/abs/2004.10956
  • 解读:https://zhuanlan.zhihu.com/p/136823964
  1. Boosting Few-Shot Learning With Adaptive Margin Loss
  • 论文主页:https://www.weiranhuang.com/publications/traml2020.html

AAAI 2020

第 34 届AAAI 2020 在 2 月 7 日-2 月 12 日于美国纽约举办。

  1. Meta-Learning PAC-Bayes Priors in Model Averaging
  • 论文:https://arxiv.org/pdf/1912.11252
  1. Real-Time Object Tracking via Meta-Learning: Efficient Model Adaptation and One-Shot Channel Pruning
  • 论文:https://arxiv.org/pdf/1911.11170
  1. Diversity Transfer Network for Few-Shot Learning
  • 论文:https://arxiv.org/pdf/1912.13182
  1. Knowledge Graph Transfer Network for Few-Shot Recognition (oral)
  • 论文:https://arxiv.org/pdf/1911.09579
  1. Few Shot Network Compression via Cross Distillation
  • 论文:https://arxiv.org/pdf/1911.09450
  1. MarioNETte: Few-shot Face Reenactment Preserving Identity of Unseen Targets
  • 论文:https://arxiv.org/pdf/1911.08139
  1. Graph Few-shot Learning via Knowledge Transfer
  • 论文:https://arxiv.org/pdf/1910.03053
  1. Few-Shot Bayesian Imitation Learning with Logical Program Policies
  • 论文:https://arxiv.org/pdf/1904.06317
  1. Fine-Tuning BERT for Schema-Guided Zero-Shot Dialogue State Tracking
  • 论文:https://arxiv.org/pdf/2002.00181
  • 描述:NLP
  1. GTNet: Generative Transfer Network for Zero-Shot Object Detection
  • 论文:https://arxiv.org/pdf/1911.08139
  1. Cross-lingual Pre-training Based Transfer for Zero-shot Neural Machine Translation (oral)
  • 论文:https://arxiv.org/pdf/1912.01214
  1. Attention-Informed Mixed-Language Training for Zero-shot Cross-lingual Task-oriented Dialogue Systems
  • 论文:https://arxiv.org/pdf/1911.09273
  1. Zero Shot Learning with the Isoperimetric Loss
  • 论文:https://arxiv.org/pdf/1903.06781
  1. Harnessing GANs for Zero-shot Learning of New Classes in Visual Speech Recognition
  • 论文:https://arxiv.org/pdf/1901.10139

其他值得关注的论文

  1. A New Meta-Baseline for Few-Shot Learning
  • 论文:https://arxiv.org/abs/2003.04390

参考资料

  1. https://github.com/amusi/CVPR2020-Code
  2. https://github.com/extreme-assistant/CVPR2020-Paper-Code-Interpretation/blob/master/CVPR2020.md
  3. https://zhuanlan.zhihu.com/p/109397805
  4. https://zhuanlan.zhihu.com/p/109969655
  5. https://zhuanlan.zhihu.com/p/109669880

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