Vladimir Iglovikov

@viglovikov

Computer Vision for Autonomous Vehicles at . PhD in Physics. Grandmaster. Co-creator of .

Vrijeme pridruživanja: rujan 2016.

Tweetovi

Blokirali ste korisnika/cu @viglovikov

Jeste li sigurni da želite vidjeti te tweetove? Time nećete deblokirati korisnika/cu @viglovikov

  1. Prikvačeni tweet
    23. sij

    Question for those who studied in graduate school but moved to industry after graduation. What did you learn in the industry that could make you more productive while you were still in academia? More productive: better papers, faster graduation, better after graduate position

    Poništi
  2. proslijedio/la je Tweet
    3. velj

    Added ImageNet validation results for 164 pretrained models on several datasets, incl ImageNet-A, ImageNetV2, and Imagenet-Sketch. No surprise, models with exposure to more data do quite well. Without extra, EfficientNets are holding their own.

    Prikaži ovu nit
    Poništi
  3. proslijedio/la je Tweet
    31. sij

    "Self-Driving Research in Review: NeurIPS 2019" – short reviews of papers from Machine Learning for Autonomous Driving Workshop and main conference by and from

    Poništi
  4. 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:

    Poništi
  5. proslijedio/la je Tweet
    23. sij

    . is right. There are 5 ways to accumulate a billion dollars in America: 1) Profiting from a monopoly 2) Insider-trading 3) Political payoffs 4) Fraud 5) Inheritance None of these are earned or have anything to do with being successful in the supposed free market.

    Poništi
  6. proslijedio/la je Tweet
    23. sij

    The January DVC Heartbeat is here. In this issue we're discussing , reaching 100 contributors, reducing technical debt, and learning about MLOps.

    Poništi
  7. proslijedio/la je Tweet
    20. sij
    Poništi
  8. proslijedio/la je Tweet
    20. sij

    I am trilled to see Catalyst usage for Social Good initiatives. This time – smoke prediction to help win the fight against California wildfires crisis. Everything is Open Sourced. Thanks Dmitry Bleklov and for making this happen.

    Poništi
  9. proslijedio/la je Tweet
    19. sij

    Thank you Bleklov Dmitry for contributing a PyTorch sample tutorial for Lets Stop Wildfires Hackathon. Thanks   for helping to make this happens. Checkout PyTorch Notebook: Hackathon info:

    Poništi
  10. proslijedio/la je Tweet
    17. sij

    A fresh release of pytorch-toolbelt 0.3 is out: Changelog: If you're unfamiliar - it's a python library with a lot of bells and whistles for PyTorch for fast R&D prototyping and Kaggle farming:

    Poništi
  11. proslijedio/la je Tweet
    17. sij
    Poništi
  12. proslijedio/la je Tweet
    15. sij

    v1.4: customizable mobile builds, Distributed Model Parallelism via experimental RPC API, Java Bindings, Chaining LRSchedulers Summary: Release Notes: Last release for Python 2 (bye bye!)

    Prikaži ovu nit
    Poništi
  13. proslijedio/la je Tweet
    12. sij

    Thank you for taking the time to provide great tips on how to improve deep learning model to our participants of Lets Stop Wildfires Hackathon at

    Poništi
  14. proslijedio/la je Tweet
    10. sij

    This isn't a gif but a still image

    Poništi
  15. proslijedio/la je Tweet

    Inspiring story for new machine learners trying to break into the job market.

    Poništi
  16. 8. sij

    On my new year flight from Lima to SF, I wrote a blog post on the path from my previous job to the current one. TL;DR => it was an ocean of pain and experience obtained at was very useful 😀 If you like it => 50 claps. If not => 49 😀

    Poništi
  17. proslijedio/la je Tweet
    Poništi
  18. proslijedio/la je Tweet
    23. pro 2019.

    “The maximum score I am willing to assign to a experimental paper without code is a ‘weak accept’ (as a NeurIPS and ICML reviewer).” 🔥 An active discussion going on r/ML about whether reproducibility of ML research is important for the field:

    Prikaži ovu nit
    Poništi
  19. proslijedio/la je Tweet
    16. pro 2019.

    A nice summary of : . Interestingly, it's almost completely orthogonal to my experience...

    Poništi
  20. 13. pro 2019.

    If you are at and interested in the winning solutions to the 3D detection challenge, hosted by , feel free to stop by. Location: W116-117 Time: 4:15pm

    Poništi

Čini se da učitavanje traje već neko vrijeme.

Twitter je možda preopterećen ili ima kratkotrajnih poteškoća u radu. Pokušajte ponovno ili potražite dodatne informacije u odjeljku Status Twittera.

    Možda bi vam se svidjelo i ovo:

    ·