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Ishan Misra: Self-Supervised Deep Learning in Computer Vision | Lex Fridman Podcast #206 Analytics Table

Income Estimates for Ishan Misra: Self-Supervised Deep Learning in Computer Vision | Lex Fridman Podcast #206

Based on this YouTube video's total view count of 140K views and industry-standard rates, the estimated total earning is $99 - $281 through ad revenue. Historical data is not yet available to calculate daily, weekly, or monthly averages.

About Ishan Misra: Self-Supervised Deep Learning in Computer Vision | Lex Fridman Podcast #206

Explore Ishan Misra: Self-Supervised Deep Learning in Computer Vision | Lex Fridman Podcast #206 with 140,741 views, 3,477 likes, and 224 comments. Experience the impact of this video content that has captured audience attention.

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/ Full episodes playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOdP_8GztsuKi9nrraNbKKp4 Clips playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOeciFP3CBCIEElOJeitOr41 OUTLINE: 0:00 - Introduction 2:27 - Self-supervised learning 11:02 - Self-supervised learning is the dark matter of intelligence 14:54 - Categorization 23:28 - Is computer vision still really hard? 27:12 - Understanding Language 36:51 - Harder to solve: vision or language 43:36 - Contrastive learning & energy-based models 47:37 - Data augmentation 51:57 - Fixed audio spike by lowering sound with pen tool 1:00:10 - Real data vs. augmented data 1:03:54 - Non-contrastive learning energy based self supervised learning methods 1:07:32 - Unsupervised learning (SwAV) 1:10:14 - Self-supervised Pretraining (SEER) 1:15:21 - Self-supervised learning (SSL) architectures 1:21:21 - VISSL pytorch-based SSL library 1:24:15 - Multi-modal 1:31:43 - Active learning 1:37:22 - Autonomous driving 1:48:49 - Limits of deep learning 1:52:57 - Difference between learning and reasoning 1:58:03 - Building super-human AI 2:05:51 - Most beautiful idea in self-supervised learning 2:09:40 - Simulation for training AI 2:13:04 - Video games replacing reality 2:14:18 - How to write a good research paper 2:18:45 - Best programming language for beginners 2:19:39 - PyTorch vs TensorFlow 2:23:03 - Advice for getting into machine learning 2:25:09 - Advice for young people 2:27:35 - Meaning of life SOCIAL: - Twitter: https://twitter.com/lexfridman - LinkedIn: https://www.linkedin.com/in/lexfridman - Facebook: https://www.facebook.com/lexfridman - Instagram: https://www.instagram.com/lexfridman - Medium: https://medium.com/@lexfridman - Reddit: https://reddit.com/r/lexfridman - Support on Patreon: https://www.patreon.com/lexfridman

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