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AnimaAnandkumar's profile
Prof. Anima Anandkumar
Prof. Anima Anandkumar
Prof. Anima Anandkumar
@AnimaAnandkumar

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Prof. Anima Anandkumar

@AnimaAnandkumar

Director of #AI #research @nvidia, Bren #Professor @Caltech, Fmr Principal scientist @awscloud #Sloan fellow #Tensors Erdos #2 #dancer http://anima-ai.org 

Santa Clara, CA
tensorlab.cms.caltech.edu/users/anima/
Joined October 2014

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    1. Prof. Anima Anandkumar‏ @AnimaAnandkumar 22 Jan 2019
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      Prof. Anima Anandkumar Retweeted Peiyun Hu

      Our #ICLR2019 paper on #activelearning with partial feedback. It is expensive to obtain full information from labeler: e.g. picking fine-grained category. Can the algorithm actively decide what to ask labeler? Can we move on to a different example in a strategic way?https://twitter.com/HuPeiyun/status/1087745819086745600 …

      Prof. Anima Anandkumar added,

      Peiyun Hu @HuPeiyun
      Annotating data in real world can involve asking multiple questions. What if we let active learners play 20 questions with annotators? Our work on Active Learning with Partial Feedback has been accepted to ICLR 2019. Check it out at https://openreview.net/forum?id=HJfSEnRqKQ …
      Show this thread
      2 replies 19 retweets 115 likes
    2. Sriraam Natarajan‏ @Sriraam_UTD 22 Jan 2019
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      Replying to @AnimaAnandkumar

      We have some work on what we call as"active advice seeking". The goal here is to go being just labels and get richer forms of inputs such as preferences or qualitative constraints. Have been pursuing this in the context of graphical models, planning and RL

      1 reply 0 retweets 2 likes
    3. Sriraam Natarajan‏ @Sriraam_UTD 22 Jan 2019
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      Replying to @Sriraam_UTD @AnimaAnandkumar

      The key challenge is not just when to ask but what to ask

      1 reply 0 retweets 2 likes
      Prof. Anima Anandkumar‏ @AnimaAnandkumar 22 Jan 2019
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      Replying to @Sriraam_UTD

      Links to your work would be great!

      2:57 PM - 22 Jan 2019
      • 1 Like
      • Sriraam Natarajan
      3 replies 0 retweets 1 like
        1. Sriraam Natarajan‏ @Sriraam_UTD 22 Jan 2019
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          Replying to @AnimaAnandkumar

          Actively seeking preferences - in planning http://utdallas.edu/~sriraam.natarajan/Papers/PGPlannerKBSPreprint.pdf …, in probabilistic logic learning http://utdallas.edu/~sriraam.natarajan/Papers/activeadviceseeking.pdf … in IRL http://utdallas.edu/~sriraam.natarajan/Papers/aasirl_AAMAS.pdf …

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        1. Sriraam Natarajan‏ @Sriraam_UTD 22 Jan 2019
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          Replying to @AnimaAnandkumar

          Our work on doing this for RL and Relational RL is under preparation. Happy to share a version when ready

          0 replies 0 retweets 2 likes
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        1. Sriraam Natarajan‏ @Sriraam_UTD 22 Jan 2019
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          Replying to @AnimaAnandkumar

          BTW the entire codebase is available herehttps://starling.utdallas.edu/software/ 

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