2:10 Motivation Contrastive vs. Generative self-supervised learning 3:02 Contrastive Learning Progress 4:25 Instance Discrimination 7:42 Criticism of Instance Disrimination (I think these are really interesting issues raised) 9:02 Contrasive Instance Learning vs. Cluster Prediction 10:47 Contrast with Prototypical Contrastive Learning 11:42 Motivation of Online Clustering 14:16 Multi-Crop Augmentation 14:47 Results 16:36 I’d like to see more of this and less linear evaluation of representations (especially from big labs like Facebook)
Can make vid of ALAE if u have interest on generative models? I'm still having hard time to understand this paper. It's first try to use latent space autoencoder and results are amazing
Haha I was scared off by the double integral! I have a poor understanding of how they marginalize over latent variables for models like that, I've been working through Chapter 19 of Bengio, Goodfellow, and Courville's deep learning book to get a better sense of it. I think you might find it interesting as well, www.deeplearningbook.org/
Wow, mind-blowing. U keep generating high quality content faster than one can consume spanning many sub domains, great commitment and fantastic explanations.
Hello, I love your videos..a normal student trying to understand the latest and greatest research happening. I wanted to ask if these algorithms can be used for medical images?
2:10 Motivation Contrastive vs. Generative self-supervised learning
3:02 Contrastive Learning Progress
4:25 Instance Discrimination
7:42 Criticism of Instance Disrimination (I think these are really interesting issues raised)
9:02 Contrasive Instance Learning vs. Cluster Prediction
10:47 Contrast with Prototypical Contrastive Learning
11:42 Motivation of Online Clustering
14:16 Multi-Crop Augmentation
14:47 Results
16:36 I’d like to see more of this and less linear evaluation of representations (especially from big labs like Facebook)
You are doing god's work mate.
Lol, thank you!
Lmao that profile pic
Can make vid of ALAE if u have interest on generative models? I'm still having hard time to understand this paper.
It's first try to use latent space autoencoder and results are amazing
Haha I was scared off by the double integral! I have a poor understanding of how they marginalize over latent variables for models like that, I've been working through Chapter 19 of Bengio, Goodfellow, and Courville's deep learning book to get a better sense of it. I think you might find it interesting as well, www.deeplearningbook.org/
Wow, mind-blowing. U keep generating high quality content faster than one can consume spanning many sub domains, great commitment and fantastic explanations.
Thank you so much!
Hello, I love your videos..a normal student trying to understand the latest and greatest research happening. I wanted to ask if these algorithms can be used for medical images?
Definitely! See - "MoCo Pretraining Improves Representation and Transferability of Chest X-ray Models"! Goodluck with your research!
Man you literally saved my presentation, again haha, thanks
Glad to hear it!
I come here to find how is Q calculated, and learned it's in the appendix :\
Thanks for the summary!
Been watching since day one Henry because of your unique and great coverage of SOTA topics. Keep it up and thank you!!!
Thank you so much!!