Youtor
Part3 Quick overview of different selfsupervised learning approaches
>> YOUR LINK HERE: ___ http://youtube.com/watch?v=8C74rFwwuAI
This is the 3rd part where a quick overview of different self supervised learning are touched upon. • They can be categorized into • Pretext task based • Generative model based • contrastive learning (discriminative based) • References - • 1. ICML workshop on Representation Learning - https://icml.cc/Conferences/2020/Sche... • 2. Paperswithcode - https://paperswithcode.com/sota/self-... • 3.Alexei (Alyosha) Efros - Self-Supervised Deep Learning - https://www.youtube.com/watch?v=YhYsv... • 4.Professor Zisserman lecture slides - https://project.inria.fr/paiss/files/... • 5.Lilan weng amazing introductory blog - https://lilianweng.github.io/lil-log/... • 6. Blog on SimCLR, MoCo and BYOL Comparison - https://untitled-ai.github.io/underst... • 7. Blog on SwAV - https://wandb.ai/authors/swav-tf/repo... • 8. Energy based models - https://bdtechtalks.com/2020/03/23/ya... • 9.Colorization - https://richzhang.github.io/ideepcolor/ • 10. Neural Scene Representation Blog - https://deepmind.com/blog/article/neu... • 11. Contrastive Learning Blog-https://ai.googleblog.com/2020/04/adv... • Papers • 1. MoCo - https://arxiv.org/pdf/1911.05722.pdf • 2. SimCLR - https://arxiv.org/pdf/2002.05709.pdf • 3. SimCLR v2 - https://arxiv.org/abs/2006.10029 • 4. SwAV - https://arxiv.org/pdf/2006.09882.pdf
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