🚀 Daily, we marvel at #AI progress, yet one human ability stands unchallenged: immediate adaptation.
💡 Today, we're closing that gap! Introducing 💀 To Adapt or Not to Adapt? Real-Time Adaptation for Semantic Segmentation. An AI that shifts gears as swiftly as we do! #ICCV2023
Deep Double Descent via Smooth Interpolation
Matteo Gamba, Erik Englesson, Mårten Björkman, Hossein Azizpour.
Action editor: Sebastian Stich.
https://t.co/Y03vZ0ocWH
#overparameterized#deep#interpolated
Dense FixMatch: a simple semi-supervised learning method for pixel-wise prediction tasks
Miquel Martí i Rabadán,@alepieropan, @HosseinAzizpour, Atsuto Maki
tl;dr: use weak/strong aug consistency for segmentation.
#kornia used for augmentation
https://t.co/AWnuaLGJzP
15 bookmark-worthy tools for researchers that cost you nothing and will save you time (& nerves) when researching, writing and publishing.
A thread. 🧵
#AcademicTwitter#AcademicChatter
The call for papers for the @iclr_conf Workshop on the Elements of Reasoning: Objects, Structure, and Causality (OSC) is out! #osc2022
Submit your work by 25 Feb (end of day, AoE)
👉 https://t.co/MsImySkWB5
I’ve been using #AnnotatedEquations in my recent papers. I think it really adds to the readability and understanding of the math.
Here are some examples. It uses #tikz in #latex.
Let me know if you like it. Happy for any feedback. [GitHub link: next tweet]
#AcademicChatter
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You are strongly encouraged to apply!
[retweets r welcome]
Looking for postdoctoral positions? Come work in an exciting collaborative project to develop state-of-the-art deep learning techniques in order to push the boundaries of structural biology! Read more here: https://t.co/Fw7bSalVEA
Learn about the significance of overparametrization in neural networks, the universal law of robustness, and what “A Universal Law of Robustness via Isoperimetry” means for future research in this short video with @SebastienBubeck: https://t.co/IBUi2ICRCI.
PartImageNet: A Large, High-Quality Dataset of Parts
abs: https://t.co/q8AfX8mVab
a large, high-quality dataset with part segmentation annotations. It consists of 158 classes from ImageNet with approximately 240000 images