#206 – Ishan Misra: Self-Supervised Deep Learning in Computer Vision

Ishan Misra is a research scientist at FAIR working on self-supervised visual learning. Please support this podcast by checking out our sponsors:

- Onnit: https://lexfridman.com/onnit to get up to 10% off

- The Information: https://theinformation.com/lex to get 75% off first month

- Grammarly: https://grammarly.com/lex to get 20% off premium

- Athletic Greens: https://athleticgreens.com/lex and use code LEX to get 1 month of fish oil

EPISODE LINKS:

Ishan's twitter: https://twitter.com/imisra_

Ishan's website: https://imisra.github.io

Ishan's FAIR page: https://ai.facebook.com/people/ishan-misra/

PODCAST INFO:

Podcast website: https://lexfridman.com/podcast

Apple Podcasts: https://apple.co/2lwqZIr

Spotify: https://spoti.fi/2nEwCF8

RSS: https://lexfridman.com/feed/podcast/

YouTube Full Episodes: https://youtube.com/lexfridman

YouTube Clips: https://youtube.com/lexclips

SUPPORT & CONNECT:

- Check out the sponsors above, it's the best way to support this podcast

- Support on Patreon: https://www.patreon.com/lexfridman

- Twitter: https://twitter.com/lexfridman

- Instagram: https://www.instagram.com/lexfridman

- LinkedIn: https://www.linkedin.com/in/lexfridman

- Facebook: https://www.facebook.com/lexfridman

- Medium: https://medium.com/@lexfridman

OUTLINE:

Here's the timestamps for the episode. On some podcast players you should be able to click the timestamp to jump to that time.

(00:00) - Introduction

(07:49) - Self-supervised learning

(16:24) - Self-supervised learning is the dark matter of intelligence

(20:17) - Categorization

(28:50) - Is computer vision still really hard?

(32:35) - Understanding Language

(42:14) - Harder to solve: vision or language

(48:59) - Contrastive learning & energy-based models

(52:59) - Data augmentation

(57:19) - Fixed audio spike by lowering sound with pen tool

(1:05:33) - Real data vs. augmented data

(1:09:16) - Non-contrastive learning energy based self supervised learning methods

(1:12:54) - Unsupervised learning (SwAV)

(1:15:37) - Self-supervised Pretraining (SEER)

(1:20:44) - Self-supervised learning (SSL) architectures

(1:26:43) - VISSL pytorch-based SSL library

(1:29:38) - Multi-modal

(1:37:06) - Active learning

(1:42:45) - Autonomous driving

(1:54:12) - Limits of deep learning

(1:58:19) - Difference between learning and reasoning

(2:03:26) - Building super-human AI

(2:11:14) - Most beautiful idea in self-supervised learning

(2:15:02) - Simulation for training AI

(2:18:27) - Video games replacing reality

(2:19:40) - How to write a good research paper

(2:24:08) - Best programming language for beginners

(2:25:01) - PyTorch vs TensorFlow

(2:28:26) - Advice for getting into machine learning

(2:30:31) - Advice for young people

(2:32:58) - Meaning of life