Trompt: Towards a Better Deep Neural Network for Tabular Data

29 May 2023

Papers citing "Trompt: Towards a Better Deep Neural Network for Tabular Data"

6 / 6 papers shown

Title
TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems Si-Yang Liu Han-Jia Ye 68 6 0 04 Feb 2025
TabM: Advancing Tabular Deep Learning with Parameter-Efficient Ensembling Yury Gorishniy Akim Kotelnikov Artem Babenko LMTD MoE 94 6 0 31 Oct 2024
Anytime Neural Architecture Search on Tabular Data Naili Xing Shaofeng Cai Zhaojing Luo Bengchin Ooi Jian Pei 34 1 0 15 Mar 2024
Relational Deep Learning: Graph Representation Learning on Relational Databases Matthias Fey Weihua Hu Kexin Huang J. E. Lenssen Rishabh Ranjan Joshua Robinson Rex Ying Jiaxuan You J. Leskovec GNN 45 30 0 07 Dec 2023
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 280 3,858 0 18 Apr 2021
TabTransformer: Tabular Data Modeling Using Contextual Embeddings Xin Huang A. Khetan Milan Cvitkovic Zohar Karnin ViT LMTD 157 417 0 11 Dec 2020