🚨What is SOTA on tabular data, really? We are excited to announce 𝗧𝗮𝗯𝗔𝗿𝗲𝗻𝗮, a living benchmark for machine learning on IID tabular data with: 📊 an online leaderboard (submit!) 📑 carefully curated datasets 📈 strong tree-based, deep learning, and foundation models 🧵

🚨 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! 📅 Deadline: May 19 🔗 CFP: icml-structured-fm-workshop.github.io/call-for-pap...

🚀 AutoGluon 1.3 is out! ✅ Stability & usability improvements 🔥 AutoML Benchmark 2025: AutoGluon is SOTA in tabular ML 🧠 Huge boost to Multimodal with "Bag of Tricks" 📦 Major refactors, bug fixes, and 140+ commits from 20 contributors! 🔗 github.com/autogluon/au... #OpenSource #AutoML

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

The #AutoMLConf deadline was extended! We’re looking for groundbreaking contributions in #AutoML, NAS, LLMs, agent-based systems, hyperparameter optimization, benchmarking, algorithm selection, and more. Don’t miss your chance to showcase your work in #NYC! 📅 Deadline: March 31 🌐 CfP: 2025.automl.cc

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 🎉

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

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