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  1. proslijedio/la je Tweet
    12. pro 2019.

    [] Poster presentation (ID:153) this morning by M. Kusumoto et al on memory-efficient backpropagation. “A Graph Theoretic Framework of Recomputation Algorithms for Memory-Efficient Backpropagation” Paper: Poster:

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  2. proslijedio/la je Tweet
    9. pro 2019.

    In a pair of technical reports, we introduce Upside-Down Reinforcement Learning: a new way of solving RL problems in model-free settings primarily using supervised learning techniques. No value functions or policy search necessary!

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  3. proslijedio/la je Tweet
    22. stu 2019.

    FEYNMAN learning strategy in THREE points: • Continually ask "Why?" • When you learn something, learn it to where you can explain it to a child. • Instead of arbitrarily memorizing things, look for the explanation that makes it obvious.

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  4. proslijedio/la je Tweet
    22. stu 2019.

    Generating Interactive Worlds with Text @ AAAI'20 Built in ParlAI Angela Fan Pratik Ringshia Emma Qian Arthur Szlam

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  5. proslijedio/la je Tweet
    22. stu 2019.

    GitHub is, to borrow a phrase from , "real tech". You're not building targeted ad platforms, products for wealth extraction, or indenturing an underclass of contract laborers. You're building technology that can legitimately change the world.

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  6. proslijedio/la je Tweet
    22. stu 2019.

    Code release for paper on Learning Data Manipulation: Learning to augment and re-weight data in low data regime or in presence of imbalanced labels. Code: via & Bowen Tan.

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  7. proslijedio/la je Tweet
    12. stu 2019.

    We are putting an End to End-to-End! Check out the camera-ready version of our paper selected for an oral presentation : W/ & Peter O’Connor We also published our code:

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