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ankurhandos's profile
Ankur Handa
Ankur Handa
Ankur Handa
@ankurhandos

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Ankur Handa

@ankurhandos

Robotics Research Scientist @NvidiaAI. Previously, Research Scientist at @OpenAI, post-doc at Cam, and PhD at Imperial.

London
ankurhanda.github.io
Joined December 2010

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    Ankur Handa‏ @ankurhandos 16 May 2020

    Human-in-the-Loop Differential Subspace Search in High-Dimensional Latent Space http://www.cg.it.aoyama.ac.jp/yonghao/sig20/abstsig20.html … exploring generative models for images, 3D shapes and sound with human in the loop.pic.twitter.com/wo2adUInli

    9:00 AM - 16 May 2020
    • 26 Retweets
    • 132 Likes
    • Nowa Labs Diver Heiga Zen (全 炳河) Taketo Akama Nathan LeClaire Dr Simon Osindero Heaven Tokyo tatsukawa gteu
    4 replies 26 retweets 132 likes
      1. New conversation
      2. Ankur Handa‏ @ankurhandos 16 May 2020

        on compressing it down to one variable (slider). human in the loop machine learning has lot to offer in this space.pic.twitter.com/qu9YG7WKlH

        1 reply 5 retweets 17 likes
        Show this thread
      3. Ankur Handa‏ @ankurhandos 16 May 2020

        Why do gradient descent when you can ask a user to do it for you :)pic.twitter.com/uhUG7YajjG

        1 reply 1 retweet 11 likes
        Show this thread
      4. Ankur Handa‏ @ankurhandos 17 May 2020

        automating things in general is hard but most often what is desirable to have is a way to fix the errors or unwanted outcomes based on user's feedback so there's an active loop between the tool and the user.

        0 replies 0 retweets 2 likes
        Show this thread
      5. End of conversation
      1. Alex Lau‏ @AlexLau314 17 May 2020
        Replying to @ankurhandos

        This is creative! On average, how many times user need to manually search for model convergence?

        0 replies 0 retweets 0 likes
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      1. Alex Lau‏ @AlexLau314 17 May 2020
        Replying to @ankurhandos

        And is this framework generally applicable to most GAN learning? (e.g. colorization, image translation ... etc)

        0 replies 0 retweets 0 likes
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      1. Luca Antiga‏ @lantiga 17 May 2020
        Replying to @ankurhandos

        This is interesting. Decomposing J is something we were thinking about for uncertainty estimation.

        0 replies 0 retweets 1 like
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