๐จWhat is SOTA on tabular data, really? We are excited to announce ๐ง๐ฎ๐ฏ๐๐ฟ๐ฒ๐ป๐ฎ, a living benchmark for machine learning on IID tabular data with:
๐ an online leaderboard (submit!)
๐ carefully curated datasets
๐ strong tree-based, deep learning, and foundation models
๐งต
23.06.2025 10:14 โ ๐ 13 ๐ 8 ๐ฌ 1 ๐ 0
Call for Papers | Foundation Models for Structured Data
๐จ Reminder: Paper submissions for the 1st Workshop on Foundation Models for Structured Data (#FMSD) at #ICML2025 are due May 19!
Working on tab/ts foundation models (TabPFN/Chronos/etc.)? This is the workshop for you!
๐
Deadline: May 19
๐ CFP: icml-structured-fm-workshop.github.io/call-for-pap...
07.05.2025 20:33 โ ๐ 2 ๐ 0 ๐ฌ 0 ๐ 0
Release v1.3.0 ยท autogluon/autogluon
Version 1.3.0
We are happy to announce the AutoGluon 1.3.0 release!
AutoGluon 1.3 focuses on stability & usability improvements, bug fixes, and dependency upgrades.
This release contains 144 commit...
๐ AutoGluon 1.3 is out!
โ
Stability & usability improvements
๐ฅ AutoML Benchmark 2025: AutoGluon is SOTA in tabular ML
๐ง Huge boost to Multimodal with "Bag of Tricks"
๐ฆ Major refactors, bug fixes, and 140+ commits from 20 contributors!
๐ github.com/autogluon/au...
#OpenSource #AutoML
01.05.2025 18:38 โ ๐ 4 ๐ 1 ๐ฌ 0 ๐ 0
We are excited to announce #FMSD: "1st Workshop on Foundation Models for Structured Data" has been accepted to #ICML 2025!
Call for Papers: icml-structured-fm-workshop.github.io
25.03.2025 17:59 โ ๐ 16 ๐ 10 ๐ฌ 0 ๐ 2
AutoML
The #AutoMLConf deadline was extended! Weโre looking for groundbreaking contributions in #AutoML, NAS, LLMs, agent-based systems, hyperparameter optimization, benchmarking, algorithm selection, and more. Donโt miss your chance to showcase your work in #NYC!
๐
Deadline: March 31
๐ย CfP: 2025.automl.cc
13.03.2025 10:15 โ ๐ 8 ๐ 5 ๐ฌ 0 ๐ 1
This might be the first time after 10 years that boosted trees are not the best default choice when working with data in tables.
Instead a pre-trained neural network is, the new TabPFN, as we just published in Nature ๐
08.01.2025 18:00 โ ๐ 39 ๐ 15 ๐ฌ 3 ๐ 6
Release v1.2.0 ยท autogluon/autogluon
Version 1.2.0
We're happy to announce the AutoGluon 1.2.0 release.
AutoGluon 1.2 contains massive improvements to both Tabular and TimeSeries modules, each achieving a 70% win-rate vs AutoGluon 1.1...
AutoGluon 1.2 is now public! Some highlights for tabular data:
1. 70% win-rate vs version 1.1.
2. TabPFNMix foundation model, parallel fit
3. AutoGluon-Assistant: Zero-code ML with LLMs.
Also, very cool improvements for TimeSeries related to Chronos!
#AutoML #TabularData
27.11.2024 20:40 โ ๐ 16 ๐ 4 ๐ฌ 1 ๐ 0
Hello! Happy to join!
11.12.2024 18:07 โ ๐ 1 ๐ 0 ๐ฌ 1 ๐ 0
Hello world! Feel free to follow me for updates on AutoGluon and AutoML!
11.12.2024 18:04 โ ๐ 0 ๐ 0 ๐ฌ 0 ๐ 0
https://rasoolfa.github.io/
Postdoc in machine learning with Francis Bach &
@GaelVaroquaux: neural networks, tabular data, uncertainty, active learning, atomistic ML, learning theory.
https://dholzmueller.github.io
Full Professor of ML & #AutoML at Leibniz University Hannover. #ERC Grant Holder. Interested in: AutoML, ML, RL, iML, LLMs, foundation models and a lot more ;-)
Subgroup Lead at the University of Freiburg researching generalizability of RL and Automated RL
Thomas Bayes Fellow at @ LMU Munich @munichcenterml.bsky.social @slds-lmu.bsky.social . Working on #AutoML, #HPO, #TabularData #OpenML
Building AI systems that learn how to learn, grow and adapt continuously, and push humanity forward. Continual learning, meta-learning, open-endedness. Group Lead at TU Eindhoven, Founder of OpenML, NeurIPS D&B Track.
PhD Student working on Generlization and State abstractions in #RL, #MetaLearning, and #AutoRL
amsks.github.io
(Tab)PFNs, TrivialAugment etc.
Staff research scientist at Google DeepMind. AI and neuro.
Former physicist, current human.
Find more at www.janexwang.com
Research & code: Research director @inria
โบData, Health, & Computer science
โบPython coder, (co)founder of scikit-learn, joblib, & @probabl.bsky.social
โบSometimes does art photography
โบPhysics PhD
Institute of AI at Leibniz University Hannover led by Marius Lindauer and Henning Wachsmuth
https://www.ai.uni-hannover.de/en/
PhD student @LUH-AI
Researching the utilization of LLMs for AutoML.
He/him and they/them are both fine.
Opinions are my own :)
Official account for International Conference on Automated Machine Learning. #AutoMLConf25 New York City, USA
Talking about all things AutoML.
Full episode list: https://automlpodcast.com/