論文閱讀：Representation Learning with Contrastive Predictive Coding
Representation Learning with Contrastive Predictive Coding 參考一些NLP方法 理解Contrastive Learning CPC Motivation: 該論文認爲，隨着預測未來更多的幀，一些noisy的低層信息會被忽略掉，更多的共享信息(該論文稱之爲slow features)會被提取到，這也是一些更應被關注的信息。論文舉了幾個例子:
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相關文章
- 1. 論文筆記：Representation Learning with Contrastive Predictive Coding
- 2. Representation Learning with Contrastive Predictive Coding
- 3. 論文閱讀學習 - Deep Representation Learning with Target Coding
- 4. Inductive Representation Learning on Large Graphs 論文閱讀
- 5. Predictive learning vs. representation learning
- 6. 論文閱讀——Mockingjay: unsupervised speech representation learning
- 7. iCaRL：Incremental Classifier and Representation Learning論文閱讀
- 8. 閱讀論文 GraphGAN: Graph Representation Learning with Generative Adversarial Nets
- 9. 論文閱讀——《Unsupervised Representation Learning With Deep Convolutional Generative Adversarial Networks》
- 10. 《Learning Deep Representation for Face Alignment with Auxiliary Attributes》論文閱讀筆記