Qiming (Bill) Bao

@qiming_bao

Ph.D. Candidate in ; R&D Engineer LAIR, AIIT, ; AI, NLP, DL; ex: (First-class Honours), , Orion Health.

Auckland, New Zealand
Vrijeme pridruživanja: studeni 2019.

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  1. proslijedio/la je Tweet
    3. velj

    Break it down! Introducing the "Break" benchmark for testing the ability of models to break down a question into required steps for computing the answer. Accepted for . Learn more about Break in this post by Tomer Wolfson on the AI2 Blog:

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  2. 27. sij
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  3. proslijedio/la je Tweet
    22. sij

    I see many papers that begin with a sentence equivalent to "Topic X is popular". Popularity is not a sound scientific reason for studying a topic, so such opening sentences strike me as lame. How about "This paper shows how to solve issue Y with method M for X"? 1/2

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  4. proslijedio/la je Tweet
    21. sij

    Do not apply over-sampling before splitting train and test

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  5. proslijedio/la je Tweet
    18. pro 2018.

    What goes on in the mind of BERT? Using an interactive visualization tool, we uncovered some surprisingly intuitive patterns. Article: Colab: Github: Play with it and share what you find!

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  6. proslijedio/la je Tweet
    20. sij

    Terrific to see our workshop in graph neural networks (DLG'19 in KDD'19) to be highlighted from IBM Research in 2019! Our upcoming GNN workshop - DLGMA'20 in AAAI20: Welcome everyone to attend and share!

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  7. proslijedio/la je Tweet
    10. sij

    I'd love to see a serious attempt to do imagenet using scaled Inductive logic programming - not because I think it'd be competitive, or even good, but because I think we'd learn a lot if it worked at all. (If you think you can succeed at this, consider applying for PhD with me)

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  8. 8. sij

    A great talk from Prof. WAYNE LUK who has shared an application of the back-propagation method to the compiler architecture design and a new interpretability of deep learning models.

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  9. proslijedio/la je Tweet
    28. stu 2018.

    Wayne Luk’s team gets impressive improvements in performance and energy-efficiency when moving computation from CPUs to FPGAs – mjesto: 170 Queen's Gate

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

    What if Harry Potter had been a Vampire? Our @emnlp2019 paper, “Counterfactual Story Reasoning and Generation”, presents the TimeTravel dataset that tests causal reasoning capabilities over natural language narratives.1/2 Paper: from and

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  11. 24. pro 2019.
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  12. proslijedio/la je Tweet
    28. lis 2019.

    Check out our new paper "On the Cross-lingual Transferability of Monolingual Representations" (w/ & ) We challenge common beliefs of why mBERT works by showing that a monolingual BERT can also be transferred to new languages

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  13. 23. pro 2019.

    I guess the reason why the UC browser has such a high download volume is that the software is pre-installed on the phone, but I have to say that this browser is very powerful in news recommendations.

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

    Some of the keywords in paper titles that have seen the most change from NeurIPS 2018 to 2019. - meta-learning, kernel methods, reinforcement learning are 🔥 - more hardware-aware, more theory-driven - recurrent & convolutional get little love Full NeurIPS recap coming soon!

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  15. proslijedio/la je Tweet
    24. stu 2019.

    I wrote an 8k word doc on machine learning systems design. This covers: 1. Project setup 2. Data pipeline 3. Training & debugging 4. Serving with case studies, resources, and 27 exercises. This is the 1st draft so feedback is much needed. Thank you!

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  16. proslijedio/la je Tweet
    18. pro 2019.

    It took me a while to recap bc some papers are complex. Key points: - Destructing black box: convergence, generalization, neural tangent kernel - New approaches: Bayesian & uncertainty, graph, convex optimization - Neuroscience & bio-inspired algos - ...

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  17. proslijedio/la je Tweet
    15. pro 2019.
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  18. proslijedio/la je Tweet
    15. pro 2019.

    What if faking the cat's face? This could be A superinteresting tool for studying consciousness of animals.

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  19. 20. pro 2019.

    A list of topic-centric public data sources organized by . The project has been stared at more than 36.8k.

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  20. 20. pro 2019.
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