Sayak Paul
Machine Learning Street Talk (MLST) - En podcast af Machine Learning Street Talk (MLST)
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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
