Shiyu Chang

@CodeTerminator

Assistant Professor at UC Santa Barbara. Tweets reflect my views alone.

Santa Barbara, CA
code-terminator.github.io
Joined October 2016
2 Photos and videos Photos and videos

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  1. Retweeted
    Aug 2

    Very nice blog post explaining Zero-Shot Fact Verification and the use of claim generation model to tackle this problem. written/edited by

    4 retweets 13 likes
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  2. Retweeted
    Jul 22

    What if we train a classifier on one data environment and apply it on another environment? In , we show that its prediction results are informative of the unstable correlations between the input and the output. This allows us to effectively train a stable classifier.

    1 reply 26 retweets 49 likes
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  3. Retweeted
    May 5

    Checkout my new blog post on generative modeling by score matching and score-based models. I introduce the intuition behind these methods, their pros and cons, and also discuss the close connection to diffusion probabilistic models.

    3 replies 110 retweets 475 likes
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  4. Retweeted
    20 Aug 2020

    On Friday, August 21 at 8pm ET, Greater Boston’s beloved Coolidge Corner Theater () is hosting a virtual premiere of From Controversy to Cure, a documentary film chronicling the biotech boom in Cambridge. Learn more and watch it here:

    1 reply 17 retweets 20 likes
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  5. Retweeted
    24 Apr 2020

    AICures team releases top SARS-CoV-2 antiviral molecules from the Library. Read about our new adaptive invariance algorithm here:

    34 retweets 68 likes
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  6. Retweeted
    19 Apr 2020

    I feel like this song perfectly summarizes how many teachers feel about the transition to online teaching these days.

    0:27
    This is so beautiful ❤️ 🎶
    1 retweet 7 likes
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  7. Retweeted
    17 Apr 2020

    Today, over 300 clinical trials are focusing on antivirals. How much science is behind these trials? Below we compare two statistics for each drug: its relative frequency in trials vs the number of research papers that study it in the context of COVID-19.

    16 retweets 20 likes
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  8. Retweeted
    12 Apr 2020

    What can wastewater tell us about the COVID-19 spread? Prof. Eric Alm develops wastewater based epidemiology to estimate where, when, and for how long we need to intervene in order to protect lives. Read more:

    15 retweets 26 likes
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  9. Retweeted
    6 Apr 2020

    Check out our recent paper on how robustness of self-supervised learning transfers to down-stream fine-tuning tasks. A great collaboration with Dr. Atlas Wang's group (@CSE_at_TAMU ) and

    Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning by Tianlong Chen et al. including ,
    1 retweet 7 likes
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  10. Retweeted
    5 Apr 2020

    Prof. Bertsimas and his team are developing powerful analytics to confront COVID-19. Projects include predicting effective resource allocation, a disease progression calculator, and developing a new convenient test. Learn more here: 

    27 retweets 36 likes
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  11. Retweeted
    2 Apr 2020

    What does data tell us about policies used to combat the global COVID-19 spread? To understand the role of quarantine in halting infection spread, MIT researchers are combining ML with traditional epidemiological models. Read more:

    23 retweets 24 likes
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  12. Retweeted
    21 Jan 2020

    Attending your first academic conference...

    3 replies 43 retweets 395 likes
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  13. Retweeted
    13 Jan 2020

    . CFP seems to be up, deadline May 8:

    17 retweets 42 likes
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  14. Retweeted
    3 Jan 2020

    Friends in the US traveling to : consider vaccinating against yellow fever in advance! CDC says "availability in the United States is currently limited. Travelers may need to schedule appointments well in advance and visit a clinic some distance away. " 1/2

    1 reply 12 retweets 38 likes
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  15. Retweeted
    23 Dec 2019

    authors with > 5 submissions: 32 Sergey Levine 20 Yoshua Bengio 16 Cho-jui Hsieh 14 Pieter Abbeel 13 Liwei Wang, Tom Goldstein, Chelsea Finn, Bo Li, Jun Zhu # of accepted papers: 13 Sergey Levine 7 Le Song, Jun Zhu 6 Cho-jui Hsieh, Jimmy Ba, Liwei Wang, Pushmeet Kohli

    16 replies 48 retweets 357 likes
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  16. 20 Dec 2019

    Big Congrats to my coauthors , , and Regina Barzilay. Thank the reviewers, ACs, friends helped on this work, , and . Anyone who is working on low-resource NLP, please take a look of our paper and play around with our code.

    Accepted to . Congratulations to Regina, , and myself! Thank the reviewers and AC for their valuable suggestions and comments. Our code and data are already available on GitHub. Camera-ready will be coming soon.
    1 reply 1 retweet 8 likes
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  17. Retweeted
    15 Dec 2019

    every morning, gordon waits for his girls to get on the school bus safely (Becky Lynn FB)

    3,344 replies 144,117 retweets 664,548 likes
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  18. 9 Dec 2019

    Another work with MIT

    Towards theoretical guarantees on AI robustnesss. “Tight Certificates of Adversarial Robustness for Randomly Smoothed Classifiers” TUESDAY, Dec 10, 10:45am @ East Exhibition Hall B + C #4  
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  19. 9 Dec 2019

    Video: Code: Paper:

    1 retweet 1 like
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