English(EN)Benchmarking Tabular Foundation Models as Surrogates in Expensive Evolutionary Optimization
表格基础模型在数据更少的情况下展现出改进的泛化能力，减少了特征工程的需求
作者PulseAugur 编辑部·[9 个来源]·
近期研究表明，表格基础模型（TFMs）能够以比之前想象的少得多的数据实现泛化能力，其中一些模型展示了从单个预训练表中强大的迁移学习能力。此外，对于TFMs的手动特征工程的必要性正在减弱，特别是对于最新一代的模型，因为它们能更熟练地直接从原始数据中学习表示。然而，提供额外的与任务相关的上下文仍然是提高TFM性能的关键因素。
AI
arXiv:2602.11139v2 Announce Type: replace Abstract: Tabular foundation models, such as TabPFNv2 and TabICL, have recently dethroned gradient-boosted trees at the top of predictive benchmarks, demonstrating the value of in-context learning for tabular data. We introduce TabICLv2, …
arXiv:2609.18130v1 Announce Type: cross Abstract: Surrogate-assisted evolutionary algorithms (SAEAs) are effective methods for solving expensive optimization problems (EOPs), where surrogate models replace most expensive evaluations and critically influence the final optimization…
arXiv cs.AI
TIER_1English(EN)·Junwei Ma, Nour Shaheen, Alex Labach, Amine Mhedhbi, Frank Hutter, Anthony L. Caterini, Valentin Thomas·
arXiv:2511.09665v1 Announce Type: cross Abstract: Deep tabular modelling increasingly relies on in-context learning where, during inference, a model receives a set of $(x,y)$ pairs as context and predicts labels for new inputs without weight updates. We challenge the prevailing v…
arXiv:2609.13202v1 Announce Type: new Abstract: Feature engineering has long been a cornerstone of tabular machine learning. Tabular foundation models (TFMs) are pretrained on a wide range of tabular datasets and applied via in-context learning. Their rise raises a natural questi…
<p>Prior Labs released TabPFN-3.5, a tabular foundation model pretrained only on synthetic data that beats Otto's winning solution.</p> <p>The post <a href="https://www.marktechpost.com/2026/09/15/prior-labs-releases-tabpfn-3-5-a-tabular-foundation-model-that-beats-the-winning-ot…
<p>Nums AI has released Causilo, a pretrained tabular foundation model for classification and regression with a scikit-learn interface. It posts the top TabArena Elo among single models, ahead of Google's TabFM and LG's EXAONE Tabular. The code is Apache-2.0, while weights are li…
Prior Labs has released TabPFN-3.5, a tabular foundation model that beats the winning Otto Kaggle solution with default settings. The model was pretrained only on synthetic data and scores 0.375 on the private leaderboard. https://www. marktechpost.com/2026/09/15/pr ior-labs-rele…
Nums AI has released Causilo, a pretrained tabular foundation model for classification and regression. The model tops TabArena rankings among single models for both classification and regression tasks, using an in-context learning approach. https://www. marktechpost.com/2026/09/1…
<!-- SC_OFF --><div class="md"><p>Prior Labs released their latest tabular foundation model, TabPFN-3.5 today.</p> <p>The model is top of both TabArena and BeyondArena and SOTA for 1M rows and up to 20k features</p> <p>It comes with:</p> <p>- TabPFN-3.5-Fast (in alpha): This one …
