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Can your NAS pipeline handle datasets it has never seen before? We’re officially inviting the ML community to the NAS Unseen Data Competition.
Website: nascompetition.com/
Winners will be celebrated at the AutoML 2026 conference in Ljubljana! @automl_conf
$ONRE Claim portal is now open 🚀
📌 MORE INFO: 👉 xitter.cf/onre_promo/status/2099… 👈
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$ONRE Claim portal is now open 🚀
📌 MORE INFO: 👉 xitter.cf/onre_promo/status/2099… 👈
xitter.cf/i/broadcasts/cFcVU4HBV…
Linus Ericsson retweeted
Check out our new work on NAS search spaces!
We have created einspace, a new expressive search space that unifies many architectural families, including convnets, transformers and mlp-only architectures.
paper: arxiv.org/abs/2405.20838
project page: linusericsson.github.io/eins…
This work was done at the University of Edinburgh with collaborators Miguel Espinosa, @CYang51746374, @AntreasAntonio, @AmosStorkey, Shay B. Cohen, @steve_mcdonagh and Elliot J. Crowley.
@SchoolOfEng_UoE , @InfAtEd
Check out our new work on NAS search spaces!
We have created einspace, a new expressive search space that unifies many architectural families, including convnets, transformers and mlp-only architectures.
paper: arxiv.org/abs/2405.20838
project page: linusericsson.github.io/eins…
Our space is based on a parameterised probabilistic context-free grammar. Through its recursively defined production rules, it's able to generate architectures that are arbitrarily wide and deep, containing branching and routing operations in addition to parameterised layers.
In our experiments we find new cool architectures as well as improvements on existing ones across a range of diverse datasets from the Unseen NAS suite. Here is an example of the wild (and high-performing) things einspace can generate.
code: github.com/linusericsson/ein…
Check out our new work on NAS search spaces!
We have created einspace, a new expressive search space that unifies many architectural families, including convnets, transformers and mlp-only architectures.
paper: arxiv.org/abs/2405.20838
project page: linusericsson.github.io/eins…
Linus Ericsson retweeted
🚨 MemControl: Mitigating Memorization in Medical Diffusion Models via Automated Parameter Selection
A new strategy to mitigate memorization in Diffusion models
Arxiv: arxiv.org/abs/2405.19458
Work done with @SnchzPedro_ @OBohdal @STsaftaris @tmh31 @BioMedAI_CDT
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