Lex Fridman Podcast
Lex Fridman Podcast
Lex Fridman
#206 – Ishan Misra: Self-Supervised Deep Learning in Computer Vision
1 seconds Posted Jul 31, 2021 at 4:03 pm.
) – Introduction
) – Self-supervised learning
) – Self-supervised learning is the dark matter of intelligence
) – Categorization
) – Is computer vision still really hard?
) – Understanding Language
) – Harder to solve: vision or language
) – Contrastive learning & energy-based models
) – Data augmentation
) – Fixed audio spike by lowering sound with pen tool
) – Real data vs. augmented data
) – Non-contrastive learning energy based self supervised learning methods
) – Unsupervised learning (SwAV)
) – Self-supervised Pretraining (SEER)
) – Self-supervised learning (SSL) architectures
) – VISSL pytorch-based SSL library
) – Multi-modal
) – Active learning
) – Autonomous driving
) – Limits of deep learning
) – Difference between learning and reasoning
) – Building super-human AI
) – Most beautiful idea in self-supervised learning
) – Simulation for training AI
) – Video games replacing reality
) – How to write a good research paper
) – Best programming language for beginners
) – PyTorch vs TensorFlow
) – Advice for getting into machine learning
) – Advice for young people
) – Meaning of life
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Show notes
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: https://twitter.com/imisra_
Ishan’s website: https://imisra.github.io
Ishan’s FAIR page: https://ai.facebook.com/people/ishan-misra/
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