Ishan Misra is a research scientist at FAIR working on self-supervised visual learning. Please support this podcast by checking out our sponsors:
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EPISODE LINKS:
Ishan's twitter:   / imisra_  
Ishan's website: https://imisra.github.io
Ishan's FAIR page:   / ishan-misra  

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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

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