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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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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