TabM: Advancing Tabular Deep Learning with Parameter-Efficient Ensembling

31 October 2024

Papers citing "TabM: Advancing Tabular Deep Learning with Parameter-Efficient Ensembling"

6 / 6 papers shown

Title
Representation Learning for Tabular Data: A Comprehensive Survey Jun-Peng Jiang Si-Yang Liu Hao-Run Cai Qile Zhou Han-Jia Ye LMTD 46 0 0 17 Apr 2025
Beyond Black-Box Predictions: Identifying Marginal Feature Effects in Tabular Transformer Networks Anton Thielmann Arik Reuter Benjamin Saefken LMTD 70 0 0 11 Apr 2025
Understanding the Limits of Deep Tabular Methods with Temporal Shift Hao-Run Cai Han-Jia Ye AI4TS 53 2 0 27 Feb 2025
TabICL: A Tabular Foundation Model for In-Context Learning on Large Data Jingang Qu David Holzmüller Gaël Varoquaux Marine Le Morvan LMTD 78 5 0 08 Feb 2025
(GG) MoE vs. MLP on Tabular Data Andrei Chernov BDL MoE 80 1 0 05 Feb 2025
TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems Si-Yang Liu Han-Jia Ye 68 5 0 04 Feb 2025