Ankit Shah

@ashah007

Deep Learning Scientist at ReviveMed. LTI CMU Graduate. Multimedia Analysis, Machine Listening, Machine Learning, Computer Vision. Tech Enthusiast.

Cambridge, MA
Vrijeme pridruživanja: listopad 2013.

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  1. proslijedio/la je Tweet
    28. sij

    Great having visit just now. His book Deep Medicine gives a compelling vision for AI in healthcare. We had fun chatting about ML applied to everything from EKG to X-rays to EHR, and how exciting it is to see widespread progress on many fronts!

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

    Capsules may replace ConvNets one day.

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

    Mixtape: breaking the softmax bottleneck that limits expressiveness of neural language models. A network with Mixtape Output Layer is only 35% slower than softmax-based network, while outperforming softmax in perplexity & translation quality

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  4. proslijedio/la je Tweet
    13. pro 2019.

    Come join the workshop on Learning with Rich Experience. Note the location: West 208+209. Look fwd to the super exciting talks by JeffBilmes & TomGriffiths, and the contributed presentations:

    , , i još njih 5
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  5. proslijedio/la je Tweet
    27. pro 2019.
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  6. proslijedio/la je Tweet
    24. pro 2019.

    Yesterday I saw the . My feeling is that Yoshua is looking forward, trying to extend with higher-level capabilities (e.g, causality), while is looking backward trying to combine it with the same techniques that didn't work so well in the past!

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  7. proslijedio/la je Tweet
    23. pro 2019.

    “Going forward researchers should be working on compositionality, reasoning, causality, hybrid models, and extrapolation beyond the training space”

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

    A decade that has revived the field of AI is ending with the AI DEBATE: Yoshua Bengio | Gary Marcus “The Best Way Forward For AI” RSVP for the live streaming event at Pre-readings available:

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

    Priors for learning high-level semantic representations

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  10. 23. pro 2019.

    Good to see had more agreeing points than disagreement. Interesting directions presented during the debate. All in all we are at least a decade away to achieve system 2 realizable intelligence.

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  11. proslijedio/la je Tweet
    23. pro 2019.

    : Bengio's first slide Main points on the future of AI and Deep Learning

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

    : the reason you need references is to know where the values come from - Bengio

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  13. 15. pro 2019.

    A Sobering Message About the Future at AI's Biggest Party | WIRED

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  14. proslijedio/la je Tweet
    27. stu 2018.

    "Learning Sound Events From Webly Labeled Data", Anurag Kumar, Ankit Shah, Alex Hauptmann, Bhiksha Raj

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  15. proslijedio/la je Tweet

    RoboNet: A Dataset for Large-Scale Multi-Robot Learning by Sudeep Dasari Learn more →

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  16. 5. stu 2019.
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  17. 29. lis 2019.

    Congratulations Excited to be part of the journey in discovering drugs using AI and working towards the shared vision of saving lives with every line of code!

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  18. 28. lis 2019.
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  19. 27. lis 2019.

    “What does it mean for a machine to ‘understand’?” by Thomas G. Dietterich

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  20. 27. lis 2019.

    Docker Solution For TensorFlow 2.0: How To Get Started via

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