Kevin Swersky

@kswersk

Research Scientist at Google Brain in Toronto. Interested in all things machine learning and AI.

Vrijeme pridruživanja: lipanj 2015.
21 fotografija ili videozapis Fotografije i videozapisi

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  1. 14. pro 2019.

    Full schedule at

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  2. 14. pro 2019.

    Last session: 

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  3. 14. pro 2019.

    Afternoon talks:

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  4. 14. pro 2019.

    Contributed Talks (up next): 

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  5. 14. pro 2019.

    Morning sessions (already happened): Morning: 

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  6. 14. pro 2019.

    We are live-streaming the ML for systems workshop. Next session is the contributed talks. Below are the links for people who wish to watch remotely.

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    14. pro 2019.

    Shining light on how to get live experiments right at Facebook. “Making multi-objective optimization to be compatible with human decision-making (esp at big organizations) is hard” It’s never a pure optimization problem in practice.

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    14. pro 2019.

    I'm looking forward to giving a talk on Saturday from 1:45-2:15 PM at the Workshop on Machine Learning for Systems. I'll be talking about some work we're doing in this area at , including RL for ASIC chip design & (cont)

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    11. pro 2019.
    Odgovor korisnicima i sljedećem broju korisnika:

    Code is now available!

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    9. pro 2019.

    Classifiers are secretly energy-based models! Every softmax giving p(c|x) has an unused degree of freedom, which we use to compute the input density p(x). This makes classifiers into generative models without changing the architecture.

    , , i još njih 2
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    8. pro 2019.

    Excited for the tutorial tomorrow (Dec 9) at 9am at If you are at the conference and would to chat, please send me an email (also, if you are interested in a post-doc position in our group at Tokyo).

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  12. 8. pro 2019.

    My journey into machine learning research began with energy based models (RBMs). It’s been fun revisiting them! They can be quite powerful if trained well.

    if y'all r lookin for somethin to read while walking around Vancouver, check out my newest paper: "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One" with
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    7. stu 2019.

    An update: has been in contact with Canadian immigration officials. They told him that anyone who has been denied a visa to attend can request their case to be reconsidered via this form:   No guarantees, but please pass along!

    The denial of visas for people to attend scientific conferences inhibits the free flow of ideas that is essential for scientific progress. I wish visas weren't such a hindrance, especially for those from underrepresented countries in the field of ML. We need everyone's voice!
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    5. stu 2019.

    I ask students and new authors of to not take reviews to heart. If you believe in your work, you have to keep fighting for it. Try to read objectively and decide which comments are constructive. Don't let reviewers determine your self worth. You deserve to be here!

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    4. stu 2019.

    Looking forward to many wonderful talks at the Conference on Data Science at Fields institute that I am co-organizing in Toronto from Nov 12-15. See full list of speakers here

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    2. stu 2019.

    Meta-Dataset: a new benchmark for training and evaluating models that is large-scale, consists of diverse datasets, and presents more realistic tasks by

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    24. lis 2019.

    Our research team is using graph neural networks to predict the olfactory properties of molecules, expanding our understanding of smell & odor, with potential applications ranging from odorant synthesis to scent digitization. Learn more at

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    25. ruj 2019.

    Thank you Machine Learning community for getting off to such a great start 🎉. Congratulations to everyone who submitted and for pushing our science to new heights 📈. Read the papers: 2594 now online Next phase: Bidding, instructions on Friday.

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    16. ruj 2019.

    deadlines posted: Abstracts due: Jan 30 Papers due: Feb 6 Reviews out: Mar 31 Response due: Apr 7 Notifications: May 8 Conference: Jul 11-17 We aimed 8+ weeks notification->conference to decrease the number who cannot attend for Visa reasons.

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    10. ruj 2019.

    Happy to announce 'ML for Systems' workshop is accepted to w/ , , , M. Hashemi, . Looking forward to your papers (CFP ) & invited talks (TBA). See the website for previous edition's accepted papers :)

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