Devendra Chaplot

@dchaplot

Ph.D. Student in Machine Learning Dept, . Advised by . Intern . Past: Intern , BTech CS.

Pittsburgh, PA
Vrijeme pridruživanja: travanj 2010.

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  1. Prikvačeni tweet
    16. lip 2019.

    We won the Navigation Challenge at ! 1st place in the RGBD track and joint 1st place in the RGB track. Congrats to my collaborators Saurabh Gupta, Abhinav Gupta, . Paper: Videos: Code coming soon!

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  2. proslijedio/la je Tweet
    2. velj

    Got promoted to a full professor at CMU:) Thanks to my amazing students, collaborators, and my mentors. CMU is a remarkable place, but what makes it truly unique is its brilliant students! Hard to find a better place to do ML and AI.

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  3. proslijedio/la je Tweet
    31. sij

    Very excited to see two of my PhD students Devendra Singh Chaplot ⁦⁦⁩ and Yao-Hung Hubert Tsai receive Facebook PhD fellowships. Congratulations!

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  4. proslijedio/la je Tweet

    Congratulations to Doctoral Researchers, Devendra Singh Chaplot , and Yao-Hung Hubert Tsai for winning a fellowship for 2020! Learn more →

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  5. 29. sij

    Honored to receive the 2020 Facebook Fellowship award! Thank you, Facebook!😀

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  6. proslijedio/la je Tweet
    17. pro 2019.

    Very happy to see our work featured on MIT Technology Review today!

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

    Happy to share our recent work, "Geometric Capsule Autoencoders for 3D Point Clouds." The main idea is that instead of finding agreement among parts of an object, we find agreement among different views of the object.

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

    We are at this week to present our two papers on Product Key Memory Layers, and Cross-lingual Language Model Pretraining. Please stop by our posters, Thursday at 5pm! Spotlight presentations are at 4:20 and 4:40pm with and

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  9. proslijedio/la je Tweet

    The is very pleased to announce , UPMC Professor of Computer Science at & Director of Research at , as a shortlisted nominee for 2019 🏅 Cast your vote for Ruslan here →

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  10. proslijedio/la je Tweet
    19. stu 2019.

    Computer Vision and Visual SLAM vs. AI Agents What do Artificial Intelligence Agents need (if anything) from the field of Computer Vision? A new blog post summarizing my thoughts on and

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  11. proslijedio/la je Tweet
    3. stu 2019.

    Interested in learning neural nets in a data-dependent and adaptive way? Check out our recent work to appear @ NeurIPS-19 on this topic! TL; DR: maintain two additional covariance matrices for a fully-connected layer and use them to regularize the model.

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  12. proslijedio/la je Tweet
    16. lis 2019.

    Our team just release v0.1.3 that includes objects interaction, physics, sim2robot, running simulator in a browser; and improved Replica renderings, embodied question answering task. Habitat, where AI agents live.

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  13. proslijedio/la je Tweet

    “When you spend with your card overseas, banks somehow believe they have the right to hide what they charge.” 🤷‍♀️🤷‍♂️ See how you can start spending money with our card only at the real exchange rate – and saving up to 7x what it costs you with your bank. (via )

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  14. proslijedio/la je Tweet
    16. lis 2019.

    “I just searched for ‘unfortunately’ and ‘we regret to inform you’ in my email.” Michigan State PhD student made a skirt using rejection letters she received through the course of her doctoral program while defending her dissertation last week.

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  15. proslijedio/la je Tweet
    11. lis 2019.

    Nice summary of virtual creatures in Nature Machine Intelligence by ! Article also highlights our upcoming NeurIPS 2019 paper on modular joint learning of control and morphology for zero-shot out of domain generalization. Paper:

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  16. proslijedio/la je Tweet
    5. ruj 2019.

    Check out our paper on using counterfactual evaluation and fairness in risk assessments with and

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  17. proslijedio/la je Tweet
    5. ruj 2019.

    Get to SOTA-level performance on realistic, high-dim sequences with just "one" layer 🥳 ! Thrilled to share our latest NeurIPS spotlight work that combines implicit deep learning with large-scale sequence models. Joint work with my advisor and Vladlen Koltun :-)

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  18. proslijedio/la je Tweet
    3. ruj 2019.

    Two papers accepted to this year, both with a spotlight presentation :) The first is on Cross-lingual Language Model Pretraining where we extend BERT to the multi-lingual setting, with (1/3)

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  19. proslijedio/la je Tweet
    30. kol 2019.

    Our paper on the poker AI is now in the print edition of , and we're on the front cover!

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  20. proslijedio/la je Tweet

    Machine Learning Department group 2019, including some members of our faculty, students, and staff. - at

    Machine Learning Department group 2019, including some members of our faculty, students and staff.
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  21. proslijedio/la je Tweet
    27. kol 2019.

    Just released a small and simple implementation of our Product-Key Memory (PKM) layer. A 12-layer transformer with a single PKM layer outperforms a 24-layer transformer while being almost twice faster!

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