论文阅读：Representation Learning with Contrastive Predictive Coding
Representation Learning with Contrastive Predictive Coding 参考一些NLP方法 理解Contrastive Learning CPC Motivation: 该论文认为，随着预测未来更多的帧，一些noisy的低层信息会被忽略掉，更多的共享信息(该论文称之为slow features)会被提取到，这也是一些更应被关注的信息。论文举了几个例子:
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相关文章
- 1. 论文笔记：Representation Learning with Contrastive Predictive Coding
- 2. Representation Learning with Contrastive Predictive Coding
- 3. 论文阅读学习 - Deep Representation Learning with Target Coding
- 4. Inductive Representation Learning on Large Graphs 论文阅读
- 5. Predictive learning vs. representation learning
- 6. 论文阅读——Mockingjay: unsupervised speech representation learning
- 7. iCaRL：Incremental Classifier and Representation Learning论文阅读
- 8. 阅读论文 GraphGAN: Graph Representation Learning with Generative Adversarial Nets
- 9. 论文阅读——《Unsupervised Representation Learning With Deep Convolutional Generative Adversarial Networks》
- 10. 《Learning Deep Representation for Face Alignment with Auxiliary Attributes》论文阅读笔记