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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 15 Jun 2019
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      If you are up early tomorrow, come to my talk at #CVPR2019 workshop on Vision With Biased or Scarce Data https://wvbsd.github.io/2019/  I will show our recent results on detecting hard examples using a new angular distance measure. Also talk about many ways to reduce our data reqs

      5 replies 17 retweets 126 likes
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    2. Prof. Anima Anandkumar‏ @AnimaAnandkumar 16 Jun 2019
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      Co-authors @BeidiChen @animesh_garg @Anshumali_ Zhiding Weiyung on detecting hard examples @NvidiaAI Active learning with @HuPeiyun @zacharylipton Deva Ramanan. Crowdsourcing with Ashish Khetan @zacharylipton Semi-supervised learning with neural rendering @TanNguyen689 Nhat Ho..

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    3. Prof. Anima Anandkumar‏ @AnimaAnandkumar 16 Jun 2019
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      Otherwise you can attend my talk at 10:30AM tomorrow at #CVPR2019 workshop on semantic information https://sites.google.com/view/wsi-2019/  on Beyond Black-Boxes: Embedding Semantic Structures into Learning

      1 reply 2 retweets 8 likes
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    4. Prof. Anima Anandkumar‏ @AnimaAnandkumar 16 Jun 2019
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      #tensor operations in #NeuralNetworks lead to compression @JeanKossaifi @zacharylipton @furlanel @arankhanna #tensor-train LSTMs are much better for long-term #forecasting @yuqirose @StephanZheng @yisongyue + video prediction Jiahao Wonmin @furongh @jankautz @NvidiaAI

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    5. Prof. Anima Anandkumar‏ @AnimaAnandkumar 16 Jun 2019
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      Other ways to add semantic structure into learning: blending symbolic expressions with data and learning common embeddings @ForoughArabsha1 Sameer Singh. Adding learning to control while retaining stability: @yisongyue @GuanyaShi Anqi Liu Soon Jo Chung @kazizzad @yuqirose

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      Prof. Anima Anandkumar‏ @AnimaAnandkumar 16 Jun 2019
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      Lastly, important to study domain adaptation. We study label shift where label proportions change. More relevant in modern #AI applications (e.g. in cloud services, disease prediction). New generalization bounds for this problem. @kazizzad Anqi Liu Fanny Yang

      12:18 AM - 16 Jun 2019
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      • Sriraam Natarajan Chhavi Yadav Aniket Datir Arth Dubey ❤️🐍 Kamyar Azizzadenesheli søren Milad Sadeghi DM Ramanarayan Mohanty
      0 replies 0 retweets 11 likes

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