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  1. proslijedio/la je Tweet
    1. velj

    Rotation, Translation, and Cropping for Zero-Shot Generalization Makes a lot of sense. Try playing Doom not from an agent-centric perspective! I think agent-centric view is a better prior for encoding useful information using fewer bits for the policy.

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  2. proslijedio/la je Tweet
    31. sij

    Through this great story from James Briggs, a computational physicist turned data scientist, I came across his totally amazing deep learning notes, which are some of the best I've seen:

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  3. proslijedio/la je Tweet
    30. sij

    So are we admitting that Service Oriented Architecture was always what we wanted, and microservices was a weird over-correction for both lack of discipline and horrific developer->production pipeline design? Or too soon?

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  4. proslijedio/la je Tweet
    31. sij

    tip The WMSLayer is too limited? No problem, you can add new custom parameters to the URL defining your own WMSLayer class! Here I needed a new "time" parameter:

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  5. proslijedio/la je Tweet
    30. sij
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  6. proslijedio/la je Tweet
    31. sij

    ERNIE-GEN: An Enhanced Multi-Flow Pre-training and Fine-tuning Framework for Natural Language Generation pdf: abs:

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  7. proslijedio/la je Tweet
    29. sij

    Machine Unlearning “Once users have shared their data online, it is difficult to revoke access and ask for the data to be deleted. ML exacerbates this problem because any model trained with said data may have memorized it, putting users' privacy at risk.”

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  8. proslijedio/la je Tweet

    In response to the outbreak, we are opening up LinearFold, an algorithm to speed up RNA secondary structure prediction, to the scientific community. It reduces the analysis time of the 2019-nCoV RNA from 55 minutes to 27 seconds. Read more at

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  9. 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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  10. proslijedio/la je Tweet
    31. sij

    On Tuesday, in my class, we have learnt that all a neural net does is stretching / contracting the space fabric. For example this 3-layer net (1 hidden layer of 100 positive neurons) gets its 5D logits (2D projections) linearly separable by the classifier hyperplanes (lines).

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  11. proslijedio/la je Tweet
    31. sij

    Today we announce a novel, open-source method for text generation tasks (e.g., summarization or sentence fusion), which uses edit operations instead of generating text from scratch, leading to less errors and faster model execution. Read about it below.

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  12. proslijedio/la je Tweet
    30. sij

    40x faster predictions for even the deepest random forests with FIL’s new sparse forest support -

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  13. proslijedio/la je Tweet
    31. sij

    This is a nice package for making pyplot animations more intuitive: All you do is call "camera.snap()" every time you re-do the plot.

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  14. proslijedio/la je Tweet
    27. sij

    We rewrote David MacKay's Bayesian Neural Network examples in Python/JAX

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  15. proslijedio/la je Tweet
    31. sij

    Why Random Forests can’t predict trends and how to overcome this problem. by

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  16. proslijedio/la je Tweet
    27. sij

    New NLP News: NLP Progress, Restrospectives and look ahead, New NLP courses, Independent research initiatives, Interviews, Lots of resources (via )

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  17. proslijedio/la je Tweet
    31. sij

    If you're running xgboost, lgbm, or other forest based models in production you need to check out our new forest inference library. 40x faster predictions, cheaper than cpu and way less rack space.

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  18. proslijedio/la je Tweet
    26. sij

    In the tradition of xxxToVec - here is Time2Vec - pretty interesting - represent time as a learned embedding - might try this with some eeg data.

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  19. proslijedio/la je Tweet
    31. sij

    Transformers 2.4.0 is out 🤗 - Training transformers from scratch is now supported - New models, including *FlauBERT*, Dutch BERT, *UmBERTo* - Revamped documentation - First multi-modal model, MMBT from , text & images Bye bye Python 2 🙃

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  20. proslijedio/la je Tweet
    31. sij

    I highly recommend checking out the lecture series from "Full Stack Deep Learning" on YouTube

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