Minsuk Kahng

@minsukkahng

Assistant Professor . CS PhD . PhD Fellow. Research in Human-Centered AI, Data Visualization

Corvallis, OR
Vrijeme pridruživanja: srpanj 2009.

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  1. Prikvačeni tweet
    4. ruj 2018.

    Excited to announce GAN Lab! Interactive visualization to learn by , powered by .js! Try in your browser Great collaboration with ! '18 paper:

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  2. proslijedio/la je Tweet
    31. sij

    Interested in software engineering for AI/ML-enabled systems? After teaching a course on the topic last semester, I finally managed to compile a reading list in the form of an annotated bibliography: (PRs welcome)

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

    Machine learning loss functions are a UX problem, not just a math problem! Defines the end-goal of the system. keynote by

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  5. proslijedio/la je Tweet
    27. lis 2019.

    I just published What does it mean for a machine to ‘understand’? 1/

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  6. proslijedio/la je Tweet
    24. lis 2019.

    A great group of current and former Georgia Tech researchers gathered at the IEEE VIS Conference in Vancouver this week.

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  7. proslijedio/la je Tweet
    24. lis 2019.

    AutoML now supports exporting TensorFlow.js models - a huge step forward in making it easier to get high quality custom models running in browser!

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  8. proslijedio/la je Tweet
    24. lis 2019.

    Awesome presentation on FairVis for discovering biases in ML by and Will Epperson

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  9. proslijedio/la je Tweet
    24. lis 2019.

    “Fairness is a wicked problem” and session

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  10. proslijedio/la je Tweet
    23. lis 2019.

    I love the idea of verbalization in visualization. It’s at the same time very relevant and quite under-explored. Verbal representations make visualizations more accessible. This is true in general but even more when explaining ML. Great talk also. Congrats !

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

    Machine learning can automate important tasks, but these systems can be biased against different demographic groups. Learn how FairVis can help data scientists find biases in their models Thursday @ 9AM w/ !

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

    How can visualization help people learn ? will be presenting on the evaluation of GAN Lab at EVIVA-ML Workshop today at 10:50am - Room 3.

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  13. proslijedio/la je Tweet

    Microsoft open sources SandDance, the beloved data visualization tool from . Read here:

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  14. proslijedio/la je Tweet

    Want to see how an AI trained on ImageNet will classify you? Try ImageNet Roulette, based on ImageNet's Person classes. It's part of the 'Training Humans' exhibition by & me - on the history & politics of training sets. Full project out soon

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  15. proslijedio/la je Tweet
    12. ruj 2019.

    The School of Interactive Computing at Georgia Tech is hiring faculty in Data Visualization this year!

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

    Excited to share FairVis, an interactive visualization for discovering bias in machine learning we will present ’19! Joint work w/ Will Epperson Read our blog post to learn more!

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

    Excited to share our paper, Summit, that scales up deep learning interpretability! Try in your browser () to summarize and visualize what features a neural network has learned and how they interact! Video, paper, code, and examples below 👇

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

    Are you working on and ? Consider submitting your work to 2020 Workshop on Visualization Meets AI! Accepted papers will appear in a special issue of the Visual Informatics. Submission deadline is Dec 12.

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  19. proslijedio/la je Tweet
    30. kol 2019.
    Odgovor korisniku/ci

    Congrats, Doc!!!!!!!!!

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  20. 28. kol 2019.

    Have you tried out our GAN Lab tool for playing with before? What do you think about GAN Lab? Please take this short survey to help us evaluate and improve it.

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  21. proslijedio/la je Tweet
    20. kol 2019.

    Excited to share our notebook curriculum for learning visualization! Visual encoding, data transformation, interaction, maps, & more! Into Python? Here's Altair + Jupyter: Prefer JavaScript? See Vega-Lite + :

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