Podknife - Sayak Paul by Machine Learning Street Talk (MLST)

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Sayak Paul

Podcast |: Machine Learning Street Talk (MLST)
Publisher |: Machine Learning Street Talk (MLST)
Media Type |: audio
Podknife tags |: Artificial Intelligence,; Interview,; Machine Learning,; Technology
Categories Via RSS |: Technology
Publication Date |: Jul 17, 2020
Episode Duration |: 01:36:16

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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