Joost van Amersfoort

@joost_v_amersf

PhD student in ML at Oxford by day, walking perceptron by night. Formerly .

Vrijeme pridruživanja: rujan 2009.

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  1. proslijedio/la je Tweet
    30. sij

    Our 3rd Challenge on Learned Image Compression (CLIC) is live! As always, winners will be announced at our workshop at CVPR. If you are working on image reconstruction, generative modeling or compression (learned or not), consider taking part.

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  2. 14. sij

    I wrote this self-contained, 150 line script that trains a ResNet-18 to ~94% accuracy on CIFAR-10. Useful for obtaining a strong baseline with minimal tricks. Uses / Torchvision: 👉

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  3. 12. sij

    If anyone else used in the past and was disappointed with the experience: they've made some big improvements. The app is now a joy to use. End-to-end encryption 🔑 + no metadata stored 🤫 (not even members of groups!)

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  4. 7. sij

    The superior format for an academic paper in ML is:

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  5. proslijedio/la je Tweet

    Hey! Where are you all sleeping tonight? Anywhere good? Bad? Indifferent? 1/5

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  6. Interested in active learning? Do you want to acquire diverse batches of data instead of single datapoints? Learn about our approach BatchBALD at 10:45, at board #1 at ! , and me are looking forward to chat!

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  8. Testing the new GPT2-XL from with my lab mate . We prompt it with "Milad is" and "Joost is", these are the results:

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  9. A true information-theoretic approach. Claude Shannon would be proud.

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  10. Removes PIL, applies normalization just once and preloads onto GPU (h/t ). It keeps all other great features (such as automatic downloading)! Can be used as a drop in replacement if you don't need fancy image transformations.

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  11. Do you often use MNIST on a GPU for prototyping? Do you use ? You can get 2-3x *training* speed up and save CPU by using this 🔥FastMNIST🔥 dataset class. Code 👉

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  12. proslijedio/la je Tweet
    26. lip 2019.

    Big thanks to for providing an open source implementation of our Glow CIFAR-10 vs SVHN experiment:

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  13. I'm happy to share my implementation of Glow that reproduces results from "Do Deep Generative Models Know What They Don't Know?" ( et al.) Includes pretrained model, evaluation notebooks and training code!

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  14. We present BatchBALD, a theoretically grounded batch acquisition method for active learning that promotes diversity. 🧐🥳 Check out the blog post below or the preprint () and code ().

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  15. Area Chair to disagreeing reviewers: “DIVISION, CLEAR THE LOBBY”.

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  16. "NICE", "Real NVP" and "Glow" are a lovely stack of papers that allow following and in 2 year increments. Compute and algorithmic improvements go hand in hand. NICE: Real NVP: Glow:

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  17. proslijedio/la je Tweet
    30. lis 2018.

    Excited to announce our new research group at : Oxford Applied and Theoretical Machine Learning Group (OATML) Have a look at the website and ping me at NIPS if you'd like to join us!

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  18. Excited to announce that I’m starting a PhD in ML with and ! Looking forward to the next 3+ years here in Oxford 🤓🏰

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  19. The Idaho stop: “A law that allows cyclists to treat a stop sign as a yield sign, and a red light as a stop sign.” Sounds wonderful! Wish this was possible in London. 🚲 🇬🇧

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  20. Very happy to be cycling behind more of these electric black cabs in London! My lungs are ready for the battery powered future. 🚕🔋 (Bonus points for anyone who can guess the location of this pic!)

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