Changhan Wang

@ChanghanWang

Research Engineer @ Facebook AI Research (FAIR). New York City. He/him.

Vrijeme pridruživanja: siječanj 2014.

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  1. proslijedio/la je Tweet
    24. sij

    Facebook's AI Residency program, which gives residents 12 months of practical experience in AI working with leading researchers, is accepting applications until January 31st! Current residents Diana and Eric discuss their experience in this Q&A:

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  2. proslijedio/la je Tweet
    15. sij

    We've open sourced VizSeq, a Python toolkit that makes it easy to visualize text generation outputs. With a user-friendly interface, VizSeq improves productivity and enables fast evaluation on large data sets.

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  3. proslijedio/la je Tweet
    14. sij

    Participants to the shared task on simultaneous speech translation () may have access to a limited amount of cloud credits! Apply here:

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  4. proslijedio/la je Tweet
    31. pro 2019.

    You can now follow for updates related to IWSLT () as well as the related shared tasks, including our shared task on simultaneous speech translation ()

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  5. proslijedio/la je Tweet

    We have a new research award opportunity on the topic of on-device AI! Academic faculty can submit proposals on enabling execution of AI-based capabilities within the constraints of edge devices. Applications are open until February 3.

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  6. proslijedio/la je Tweet

    We’re co-organizing a task on simultaneous speech translation as part of an workshop on spoken language translation. Entrants will be evaluated on real-time translation of TED talks from English into German. Learn more:

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  7. 12. pro 2019.

    Come and check out our poster on non-autoregressive decoding with Levenshtein Transformer (5-7pm East Exhibition Hall B + C #137)!

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  8. proslijedio/la je Tweet
    25. stu 2019.

    Applications for the Facebook AI Residency program are open. US (NYC, Seattle, Menlo Park): UK (London): Deadline: 2020-01-31

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  9. 5. stu 2019.
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  10. 11. ruj 2019.

    Can we build machine translation models on finer-grained vocabularies than characters? Can they be compacter and faster? Can they be generic and transferable to any languages? In with and , we study byte-level BPE for these questions.

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

    At we'll be hosting a panel on AI for Social Good, Bias and Ethics. Vote for the topic you'd like addressed below. To view a longer description of each answer choice, expand the comments below. Please retweet!

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

    Super excited to announce my first NeurIPS paper was accepted! We propose Levenshtein Transformer that learns to insert and delete words iteratively for sequence generation and refinement tasks! Thanks for my reliable coauthors !

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