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  1. proslijedio/la je Tweet
    31. sij

    We are releasing HiPlot, a lightweight interactive visualization tool to help AI researchers discover correlations and patterns in high-dimensional data.

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  2. proslijedio/la je Tweet
    31. sij
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  3. proslijedio/la je Tweet
    24. sij

    We're releasing mBART, a new seq2seq multilingual pretraining system for machine translation across 25 languages. It gives significant improvements for document-level translation and low-resource languages. Read our paper to learn more:

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  4. 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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  5. proslijedio/la je Tweet
    22. sij

    FixMatch: focusing on simplicity for semi-supervised learning and improving state of the art (CIFAR 94.9% with 250 labels, 88.6% with 40). Collaboration with Kihyuk Sohn, Nicholas Carlini

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  6. proslijedio/la je Tweet
    22. sij

    OpenMined + collaborating to advance open source software development. Learn about these talented teams on our blog: Many opportunities ahead. Join our Slack community to find out more!

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  7. proslijedio/la je Tweet
    21. sij

    🚨New lecture series🚨 We've teamed up with to bring you the Deep Learning Lecture Series: 12 lectures covering a range of topics in Deep Learning - all led by DeepMind researchers, all free, and all open to everyone. Info & tickets:

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  8. proslijedio/la je Tweet
    20. sij

    A toolbox to generate adversarial examples with zero coding, from Baidu. Works with TF, PyTorch, etc. Paper: Code:

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  9. proslijedio/la je Tweet
    13. sij

    We have open-sourced wav2letter@anywhere, an inference framework for online speech recognition that delivers state-of-the-art performance.

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  10. proslijedio/la je Tweet
    10. sij

    Train a neural network using and run it on 's Azure Sphere Starter Kit and an ESP32:

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  11. proslijedio/la je Tweet

    We've achieved state-of-the-art results in Hanabi, a collaborative card game in which players must work together. We use a new real-time search method similar to the one used in Pluribus.

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

    CNX Software Jean-Luc Aufranc published an article based on our RISC-V experiment with QEMU and the mainline Linux kernel. This article starts a discussion about the possibility to run Linux on affordable RISC-V SoCs.

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

    YOLOv3: An Incremental Improvement Old, but really struck by the writing. A glimpse of a mirror universe where scientific papers have a drastically different style. abs: site:

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

    Check out our extensive review paper on normalizing flows! This paper is the product of years of thinking about flows: it contains everything we know about them, and many new insights. With , , , . Thread 👇

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

    PyTorch Elastic for distributed elastic training — where nodes can join and leave during training — is now available as an experimental feature, along with ClassyVision, a new framework for large-scale training of image and video classification models:

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  16. proslijedio/la je Tweet
    28. stu 2019.

    Excited to share our work on Contrastive Learning of Structured World Models! C-SWMs learn object-factorized models & discover objects without supervision, using a simple loss inspired by work on graph embeddings Paper: Code: 1/5

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

    Congratulations to the best paper award winners! 4/4 == Best Demo Paper Award == AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models Eric Wallace, Jens Tuyls, Junlin Wang, Sanjay Subramanian, Matt Gardner, Sameer Singh

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  18. proslijedio/la je Tweet

    Facebook AI is open-sourcing XLM-R, a multilingual model that uses self-supervised training to achieve state-of-the-art performance on four cross-lingual understanding benchmarks.

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  19. proslijedio/la je Tweet
    3. stu 2019.
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  20. proslijedio/la je Tweet

    We’ve achieved large-scale 3D reconstruction of nonrigid shapes on 3 benchmarks by interpreting 3D geometry using only 2D keypoints — without requiring 3D annotations. Read more: . And we’ve made the code available here:

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