Kevin Tan

@kevinstannn

M.S. . Previously B.S. ‘19 . Machine learning, computer vision, and cognitive science.

Palo Alto, CA
Vrijeme pridruživanja: siječanj 2019.

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  1. 31. sij

    Nice insights on Idea-Driven (ID) vs. Goal-Driven (GD) research by John Schulman. GD: define a success condition, then find the shortest path that satisfies it. ID: choose a problem X and a method Y, and "explore" X by applying Y to X without any prior expectations

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  2. 26. sij

    GPT-2 is a test of empiricism. GOFAI was a test of nativism. So far, they have both failed. Solution: neuro-symbolic approaches exhibit the best of both worlds. Prior world knowledge to reason compositionally, alongside flexibility to generalize to new experiences

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  3. proslijedio/la je Tweet
    27. pro 2019.

    I'm curious. If you're in machine learning, do you know what the Levels of Analysis are? If so, do you think they are important or relevant for research today in machine learning?

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