About this episode
This week we spoke with Sayak Paul, who is extremely active in the machine learning community. We discussed the AI landscape in India, unsupervised representation learning, data augmentation and contrastive learning, explainability, abstract scene representations and finally pruning and the recent super positions paper. I really enjoyed this conversation and I hope you folks do too!
00:00:00 Intro to Sayak
00:17:50 AI landscape in India
00:24:20 Unsupervised representation learning
00:26:11 DATA AUGMENTATION/Contrastive learning
00:59:20 EXPLAINABILITY
01:12:10 ABSTRACT SCENE REPRESENTATIONS
01:14:50 PRUNING and super position paper
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