Self-Supervised Learning
Contrastive Multiview Coding
Introduced by Tian et al. in Contrastive Multiview CodingContrastive Multiview Coding (CMC) is a self-supervised learning approach, based on CPC, that learns representations that capture information shared between multiple sensory views. The core idea is to set an anchor view and the sample positive and negative data points from the other view and maximise agreement between positive pairs in learning from two views. Contrastive learning is used to build the embedding.
Source: Contrastive Multiview Coding
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Self-Supervised Learning | 2 | 25.00% |
| Activity Recognition | 1 | 12.50% |
| Human Activity Recognition | 1 | 12.50% |
| Cross-Lingual Transfer | 1 | 12.50% |
| Language Modelling | 1 | 12.50% |
| Self-Supervised Action Recognition | 1 | 12.50% |
| Self-Supervised Image Classification | 1 | 12.50% |
InfoNCE
