Self-Supervised Learning Insights
Will discusses the essence of self-supervised learning, emphasizing the significance of transforms over complex algorithms. He advocates for simplicity in ML research, aiming to understand the fundamental workings behind models without relying on intricate tricks or schedulers.In this clip
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