Siddharth Biswal

@siddnitr1

Machine learning, Deep learning

Atlanta, GA
Vrijeme pridruživanja: veljača 2010.

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  1. proslijedio/la je Tweet

    I'd like to organize a "manifesto track" at AI conferences where speakers come up and present their controversial, slightly unhinged views on how to achieve AGI. Experimental evidence is optional. - Numenta HTM - LeCake - - Non-Axiomatic Reasoning System

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    Are you a deep learning researcher? Wondering if all this TensorFlow 2.0 stuff you heard about is relevant to you? This thread is a crash course on everything you need to know to use TensorFlow 2.0 + Keras for deep learning research. Read on!

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  3. proslijedio/la je Tweet
    14. velj 2019.

    Extremely exciting progress in natural language processing, via unsupervised learning on a small fraction of the Internet: . Post contains coherent AI-written paragraphs of text — a leap from the few sentences we could generate two years ago.

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    24. stu 2017.

    My investment criteria.

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  5. proslijedio/la je Tweet
    4. srp 2018.

    Demonstrations help with exploration: highest score to date & cool video.

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  6. proslijedio/la je Tweet
    4. srp 2018.

    Just had time to catch up on the DeepMind CTF () post/paper. I don’t know what to say. This is a whole new level of production quality with these visualizations and videos. When do we start getting full-length theater style movies with research papers?

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  7. proslijedio/la je Tweet
    12. lip 2018.
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    13. tra 2018.

    '“Is curing patients a sustainable business model?” Goldman Sachs analysts ask' - sigh

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  9. proslijedio/la je Tweet

    As of TensorFlow 1.7, with eager execution, you can use a Chainer-like API in tf.keras to create models with dynamic control flow. This should be especially useful for NLP researchers working with recursive models!

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  10. proslijedio/la je Tweet
    6. velj 2018.
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  11. proslijedio/la je Tweet
    26. stu 2017.

    New notes on using ML to generalize from small amounts of training data: attacking MNIST with just 10 training examples for each digit. 93.81% accuracy:

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    5. stu 2017.

    VQ-VAE: our paper on learning discrete representations! Unsupervisedly discovers phonemes and voice style transfer

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  13. 3. stu 2017.

    Game Theory approach to reinforcement learning

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  14. 2. stu 2017.
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  15. proslijedio/la je Tweet

    Introducing Eager Execution - an imperative, define-by-run interface for ! Learn more here →

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  16. 6. lis 2017.

    Nice presentation about generative models!!

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  17. proslijedio/la je Tweet
    13. ruj 2017.

    Pix2Seq: Generate Sketches of Multiple Categories. Nice generative vector image experiments using QuickDraw dataset.

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  18. proslijedio/la je Tweet
    8. tra 2017.

    I keep this as my desktop background to remind me that nothing that's worth anything is easy... The fine print in this also worth reading.

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  19. proslijedio/la je Tweet

    Google's TPU paper is out. 8-bit matmul processor, large on-die memory (28MB). Excited to finally read the details..

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  20. proslijedio/la je Tweet
    5. tra 2017.

    There are only 702 possible names for ▢▢GAN or ▢-GAN.

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