The Ekho

@wilderrodrigues

Sr. Data Scientist & Deep Learning practitioner; creator of the Keras; Ambassador; IBM Watson AI XPRIZE contestant; Committer & PMC

Vleuten, Netherlands
Joined April 2009

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  1. Retweeted
    Sep 4

    We've used reinforcement learning from human feedback to train language models for summarization. The resulting models produce better summaries than 10x larger models trained only with supervised learning:

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  2. Retweeted
    Sep 4

    🔥 Introducing... the ML Reproducibility Challenge 2020! The 4th annual edition now expands to cover papers from 7 major ML conferences: NeurIPS, EMNLP, ACL, ICML, ICLR, CVPR and ECCV. Find more here at Papers With Code:

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  3. Retweeted
    Sep 3

    Very excited about the 2020 Deep RL Workshop! Amazing line-up of invited speakers: Matt Botvinick Karen Liu Anusha Nagabandi Peter Stone Paper submission deadline: Oct 5, 2020

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  4. Retweeted
    Sep 4
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  5. Aug 20

    Taking the rest of my holidays to recycle my Big-O, Data Structures and Algorithms knowledge. Just using frameworks makes one very rusty.

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  6. Retweeted
    Aug 11

    New code example on , created by Amy: pneumonia x-ray slides classification, using TPUs

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  7. Aug 4

    Reading this article and finding out I have met the 3 professors whom featured on it, somehow made me feel good.

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  8. Retweeted
    Jul 28

    Happy to share EfficientDet-D7x: new SOTA 55.1 COCO AP at 153ms latency (10x faster than other multi-scale models). TF2+keras supported! Arxiv: github: paperwithcode:

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  9. Jul 24

    That's my way of telling a "short" story to my team. lol

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  10. Retweeted
    Jul 23

    Congrats to the awesome Sepp Hochreiter for the well-deserved 2021 IEEE Neural Networks Pioneer Award! It was my great honor to be Sepp's nominator.

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  11. Retweeted
    Jul 21

    If you can't understand a paper, don't be discouraged The current academic style *must* change: - arxiv has no page limits to drive density - ideas are more influential if more ppl can read them - true masters can explain it like I'm 5 Humble communication > self flagellation

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  12. Jul 19

    How do you call your projects? I give mine related names. For instance, an object detection project I’m working on is called Cyclops, the training module. The inference module is called Cerebro; the CI/CD pipeline is Storm and the utility library is Forge.

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  13. Jul 18

    After 7 years of being a committer and PMC member of , I finally decided to start using my email for private matters. :)

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  14. Retweeted
    Jul 14

    Keras R-CNN, library for cell detection. Identifying malaria parasite development is often manual and subjective. We make it easier to apply object detection algorithms to this and other biological images. w/ et al.

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  15. Retweeted
    Jul 12

    The tutorial on Bayesian Deep Learning and Probabilistic Model Construction is tomorrow! July 13, 11 am - 2 pm and 9 pm - 12 am EDT See you there!

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  16. Retweeted
    Jul 12

    Neat package: "DeepXi is used for speech enhancement, noise estimation, for mask estimation, and as a front-end for robust ASR"

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  17. Retweeted
    Jul 10

    🔥 Our new autocomplete gives you 𝙛𝙖𝙨𝙩 access to 25k papers with code, 2.8k leaderboards, 1.6k tasks, 760 methods. Researchers can add results & methods for papers to enhance their discoverability (). We'll be featuring the best additions next week!

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  18. Retweeted
    Jul 9

    Want to train your Keras models on a beefy machine on GCP (or just many machines)? With TensorFlow Cloud, you can just add a single line to your script or notebook and get it running -- no config work necessary past the initial setup. Try it:

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  19. Retweeted
    Jul 8

    We just open-sourced differentiable SDE solvers in PyTorch: Now you can put stochastic differential equations in your deep learning models, and neural nets in your SDEs! Credit to .

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  20. Retweeted
    Jun 18

    A non-linearity that works much better than ReLUs. The work described in this video might also be relevant to understanding grid cells.

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