Sayak Paul - Machine Learning Street Talk (MLST)

What this episode covers

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

Share this episode

Similar Episodes

Beating loneliness by bridging the generation gap

Apr 21, 2026 ·13m

Robotics and the Future of Aged Care

Apr 19, 2026 ·16m

The Purpose Paradox: Why Baby Boomers Delay Retirement

Apr 17, 2026 ·13m

A Growing Movement Aims to Prepare All Physicians to Care for Older Adults

Apr 15, 2026 ·12m

Defeating Recurring Charges on Cancelled Credit Cards

Apr 13, 2026 ·11m

If Your Dad Has These 11 Odd Habits, He's More Lonely Than He Admits

Apr 11, 2026 ·16m

Similar Podcasts

French Your Way Jessica: Native French teacher founder of French Your Way Boost your French listening skills and test your comprehension with this one of a kind series of podcasts. Get the chance to listen to a real conversation between native speakers talking at normal speed AND customise your learning experience through carefully designed sets of questions (2 levels of difficulty) available for download at www.frenchvoicespodcast.com. All interviews also come with the transcript. French teacher Jessica interviews native speakers of French from around the world who share a bit of their life and passion. Where else would you meet in one same place a French yoga teacher based in Melbourne, a soap manufacturer from Provence, or a couple cycling around the world? Kaizen Blueprint Aldo Chandra "Kaizen" is a Japanese term for continuous improvement. This podcast provides a blueprint to learn about health, wealth, relationships and everything else in between. Through our podcast, we strive to inspire, educate, and motivate our audience to cultivate a mindset of lifelong learning, productivity, and personal development. By sharing insights, strategies, and practical tips, we aim to guide listeners on their journey towards realizing their fullest potential, fostering success, and creating lasting positive change. One Man Went To Row PepperDawesMedia Follow the journey, from training to finish line, of a man from Derby, UK who is going from having only ever rowed on a machine to rowing 3000 miles solo across the Atlantic...just after his 70th birthday! Humanizing Change Tremendousness Join us each episode as we talk with innovators in their respective fields about their unique journeys and how they humanize change in their own work, right here, on Humanizing Change.

Frequently Asked Questions

How long is this episode of Machine Learning Street Talk (MLST)?

This episode is 1 hour and 36 minutes long.

When was this Machine Learning Street Talk (MLST) episode published?

This episode was published on July 17, 2020.

What is this episode about?

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...

Can I download this Machine Learning Street Talk (MLST) episode?

Yes, you can download this episode by clicking the download button on the episode player, or subscribe to the podcast in your preferred podcast app for automatic downloads.