AutoGluon @autogluon
Fast and Accurate ML in 3 Lines of Code #AutoML #opensource auto.gluon.ai pip install autogluon Joined December 2020-
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🚀 AutoGluon 1.5 is out - pushing the frontier of tabular and time series learning! 🏆New SOTA on TabArena: +60 Elo, 2x faster training, 50% faster inference, 3% lower rel error vs 1.4 🧠New Models: RealTabPFN-2.5, TabDPT, Chronos-2 ⏱️AutoGluon-TimeSeries: 80% win-rate vs 1.4
💥 Tabular ML just got a massive upgrade. 🚀 AutoGluon 1.4.0 is here — our biggest release yet. 🔥 Extreme Preset → biggest performance leap ever 🧠 5 new SOTA models 🤖 MLZero 1.0 (zero‑code multimodal AutoML) 📊 TabArena benchmark ⚡ Time series speedups
I'm excited to see RealMLP on top of the full TabArena leaderboard! The RealMLP version in TabArena uses an improved hyperparameter search space, which I designed on other benchmarks and (mostly) before I was invited as a co-author of TabArena. Here are some thoughts: 🧵
🚨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 🧵
🚨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 🧵
With TabArena, we are able to ensemble the results of all methods together, strongly outperforming all previous approaches, including the state-of-the-art, AutoGluon. The next release of AutoGluon, we plan to incorporate methods such as RealMLP to achieve a new SOTA. 2/
We put all the best practices for tabular data benchmarking in one place to make TabArena, a living benchmark for tabular data. Compare with the very best implementations of state-of-the-art methods out of the box! Here are my thoughts: 🧵
🚨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 🧵
Less than 2 weeks left to submit to the AutoML 2025 Non-archival track! We are looking for (1) journal/conference papers, (2) original 4-page papers, and (3) non-traditional content on the topic of AutoML. Details: 2025.automl.cc/call-for-non-a…
Deadline Extended to May 23rd AoE for the Foundation Models for Structured Data #ICML2025 workshop to better accomodate those with NeurIPS paper submissions! If you have a paper on structured FMs at NeurIPS, consider submitting to the FMSD workshop! icml-structured-fm-workshop.github.io/call-for-paper…
🚨 Final countdown: Submissions for our @icmlconf '25 Workshop on Foundation Models for Structured Data close today (May 19) at 11:59 PM AoE ⏰. We're excited to see your best work! Submit now: openreview.net/group?id=ICML.…
Today is the last day to submit papers to the Foundation Models for Structured Data (FMSD) Workshop at ICML 2025! Deadline is May 19th, 11:59 PM AoE! Submit your short-form 4 page papers that delve into the emerging structured data foundation model field. icml-structured-fm-workshop.github.io/call-for-paper…
🚀 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/auto…
📢 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/call-for-paper…
Really great talk by Oleksandr from the @autogluon team on #Chronos, an new foundation model for #timeseries: youtu.be/6eDVkNBxURo?si…
📢 Exciting news! #AutoML2025 introduces a Non-Archival Track to spotlight engaging, impactful, and creative content! Submit short papers, journal papers, interactive demos, videos, blog posts, surveys & more! Deadline: June 16th AoE Details 👉 2025.automl.cc/call-for-non-a… #AutoML
‼️Now things are getting interesting :). This is exceptional work that is going to push the tabular data field forward massively. We integrated TabPFN into AutoGluon starting in our v1.2 release with TabPFNMix, and I suspect this trend will continue with TabPFNv2! Time to code.
The data science revolution is getting closer. TabPFN v2 is published in Nature: nature.com/articles/s4158… On tabular classification with up to 10k data points & 500 features, in 2.8s TabPFN on average outperforms all other methods, even when tuning them for up to 4 hours🧵1/19
🚀 AutoGluon 1.2 is here! Key highlights: 1. Tabular & TimeSeries: 70% win-rate over v1.1. 2. New Features: TabPFNMix foundation model, parallel fit, Chronos-Bolt (250x faster + accurate). 3. AutoGluon-Assistant: Zero-code ML with LLMs. #AutoML tinyurl.com/autogluon-v120
🚀 Become a Kaggle Grandmaster with Zero Code! Excited to announce the release of AutoGluon Assistant (AG-A): An ML Assistant, powered by AutoGluon and LLMs, turn your natural language task descriptions into winning ML models. ~ Team @autogluon github.com/autogluon/auto… #AutoML
🥇🥈🥉AutoGluon was used in the 1st, 2nd, 3rd, and 4th place solutions to @kaggle's latest ML competition out of 2718 competitors! kaggle.com/competitions/p…
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