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by ak92501 on 2022-01-27 (UTC).

Training Vision Transformers with Only 2040 Images
abs: https://t.co/F1IH07RCzy pic.twitter.com/o21cELiURr

— AK (@ak92501) January 27, 2022
researchcv
by ak92501 on 2022-01-27 (UTC).

CodeRetriever: Unimodal and Bimodal Contrastive Learning for Code Search
abs: https://t.co/lrX5FKqtSc

By fine-tuning with domain/language specified downstream data, CodeRetriever achieves the new sota performance with significant improvement over existing code pre-trained models pic.twitter.com/ZJDAxkljrQ

— AK (@ak92501) January 27, 2022
researchnlp
by PythonWeekly on 2022-01-26 (UTC).

XManager - A framework for managing machine learning experiments. https://t.co/ykOSBey2Sk #Python #MachineLearning pic.twitter.com/kJ5sqdhfj8

— Python Weekly (@PythonWeekly) January 26, 2022
tool
by PyTorchPractice on 2022-01-25 (UTC).

Implementation of Denoising Diffusion Probabilistic Model in Pytorch https://t.co/xfNQaLjVcK #deeplearning #machinelearning #ml #ai #neuralnetworks #datascience #PyTorch

— PyTorch Best Practices (@PyTorchPractice) January 25, 2022
w_coderesearchcv
In a group with 1 other tweets.
by ak92501 on 2022-01-25 (UTC).

RePaint: Inpainting using Denoising Diffusion Probabilistic Models
abs: https://t.co/zDuZTlNudr pic.twitter.com/FyDZUUXF1x

— AK (@ak92501) January 25, 2022
researchcv
In a group with 1 other tweets.
by ChristophMolnar on 2022-01-24 (UTC).

A lot of machine learning research has detached itself from solving real problems, and created their own "benchmark-islands".

How does this happen? And why are researchers not escaping this pattern?

A thread 🧵 pic.twitter.com/uggKd7RsJf

— Christoph Molnar (@ChristophMolnar) January 24, 2022
miscthought
by ak92501 on 2022-01-24 (UTC).

Learning from One and Only One Shot
abs: https://t.co/6tyuja6oMK pic.twitter.com/4IAsQXkuIQ

— AK (@ak92501) January 24, 2022
research
by deliprao on 2022-01-23 (UTC).

The more we understand the theory of deep learning, all the cushy ML engineering jobs will become mundane data processing jobs (some might argue it already is), and it will lower the competence/training needed to fill those jobs.

— Delip Rao (@deliprao) January 23, 2022
miscthought
by simongerman600 on 2022-01-23 (UTC).

In Australia education pays off. Unskilled & low-skilled workers struggle financially though. In my column I am suggesting that we want as many unskilled jobs done by students who are upskilling while working in low skilled jobs. Read full article (free):https://t.co/56GOVfZS40 pic.twitter.com/pXyGVu2lph

— Simon Kuestenmacher (@simongerman600) January 23, 2022
dataviz
by ankurhandos on 2022-01-22 (UTC).

interesting modern day alternatives to classic unix tools. love the colours and better readability. https://t.co/fiyCx6H9Wt

— Ankur Handa (@ankurhandos) January 22, 2022
tool
by GaryMarcus on 2022-01-21 (UTC).

New evidence from @Google that size isn't everything: "While model scaling alone can improve quality, it shows less improvements on safety and factual grounding"

Translation: making GPT-3-like models bigger makes them more fluent, but no more trustworthy. https://t.co/BUjQCP6ReZ

— Gary Marcus (@GaryMarcus) January 21, 2022
research
by ak92501 on 2022-01-20 (UTC).

data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language
blog: https://t.co/KP0OfddN3O
github: https://t.co/aNp78Sh48v pic.twitter.com/sA02jQpAt1

— AK (@ak92501) January 20, 2022
researchw_code
In a group with 1 other tweets.
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