Oriol VinyalsOvjeren akaunt

@OriolVinyalsML

Research Scientist, Machine Learning/Deep Learning/AI, Google DeepMind. Creator of AlphaStar. Previous: Google Brain.

Vrijeme pridruživanja: listopad 2015.

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  1. Prikvačeni tweet

    Excited to have won the MIT TR35 innovator award! Very grateful to do research alongside brilliant colleagues : )

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  3. seq2seq still delivers : ) Incredible how far we've gotten in ~5 years of progress in neural conversational models, with relatively small changes. More exciting is that there's still LOTS to be done! Paper: Blog:

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  4. Although neural networks usually require massive datasets to do impressive things, for me the highlight of is the fact that it achieved state-of-the-art using only 30K training examples. Code: Paper:

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  5. The figure above is an (old) slide I usually show in lectures and talks. Mix and matching those components creates cool architectures such as the one used in or .

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  6. The "Deep Learning Toolbox" has greatly expanded in the last decade thanks to our wonderful research community. Also, important progress has been made to make our community more inclusive and less toxic. Still, there's LOTS to do, and I plan to keep focusing on advancing both.

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

    Many gems in Deep RL workshop talk at on AlphaStar. Including scatter connections, imitation-based regularization, the league & the unique problem decomposition.

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  8. I have loved relativity theory and black holes my whole life. Super exciting to have been at talk at . Great example of the research diversity in our field!

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  9. Also check out the competition! (in a parallel session)

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  10. Exciting day tomorrow for those who love Deep RL! Deep RL Workshop (West Exhibition Hall C): -We will start by presenting at 9:00 (also as poster) - Five will follow at 9:30 Full schedule:

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  11. This was one of the highlights of for me! Met so many brilliant UG/MS students and discussed anecdotes, issues we all go through, advice, paper titles, etc. Given the size & growth, meetups are a great way for communities to get together.

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  12. Pointer Networks -------> Welcome to Twitter!😃

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  13. I enjoyed Yoshua's talk! We still have a lot of work to do to define WHAT the benchmarks should be towards System 2 to research HOW to make progress on them. In ML, setting the right problem is often more important than its solution. Talk:

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  14. Wednesday: Fun day ahead! -9:20 to 10:05 Meet the team at the stand -CAS Score for evaluating gen. models, 10:45 Poster #111 -VQVAE2, 17:00 Poster #140

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  15. -Awesome work by Sanaa Mansoor et al on protein structure generation w/ VAEs ( full advice: )

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  16. Daily Highlights -'s great talk included precious advice to men "You deserve to benefit from the innovations and ideas of the women at your institutions. We deserve to be interacted with as equal colleagues. We need each other to innovate and thrive."

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

    Unsupervised pre-training now outperforms supervised learning on ImageNet for any data regime (see figure) and also for transfer learning to Pascal VOC object detection

    , , i još njih 2
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  18. Prikaži ovu nit
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  19. tutorial on efficient deep learning by Vivienne Sze (). The tutorial will focus on evaluation and metrics, rather than techniques, which is a great idea!

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  20. I am looking forward to ! Let's remind ourselves to use scientific and empirical evidence to back our claims, and to be kind to each other and set a good example to current and future generations : )

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  21. A nice 8 minute "Two Minute Paper" summary of : )

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