A Survey on Self-Supervised Learning for Non-Sequential Tabular Data

2 February 2024

Papers citing "A Survey on Self-Supervised Learning for Non-Sequential Tabular Data"

7 / 7 papers shown

Title
ReConTab: Regularized Contrastive Representation Learning for Tabular Data Suiyao Chen Jing Wu N. Hovakimyan Handong Yao 29 31 0 28 Oct 2023
Enhancing Unsupervised Speech Recognition with Diffusion GANs Xianchao Wu DiffM 11 2 0 23 Mar 2023
A Survey on User Behavior Modeling in Recommender Systems Zhicheng He Weiwen Liu Wei Guo Jiarui Qin Yingxue Zhang Yaochen Hu Ruiming Tang 52 29 0 22 Feb 2023
Transfer Learning with Deep Tabular Models Roman Levin Valeriia Cherepanova Avi Schwarzschild Arpit Bansal C. B. Bruss Tom Goldstein A. Wilson Micah Goldblum OOD FedML LMTD 66 58 0 30 Jun 2022
TabTransformer: Tabular Data Modeling Using Contextual Embeddings Xin Huang A. Khetan Milan Cvitkovic Zohar S. Karnin ViT LMTD 140 412 0 11 Dec 2020
AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data Nick Erickson Jonas W. Mueller Alexander Shirkov Hang Zhang Pedro Larroy Mu Li Alex Smola LMTD 81 576 0 13 Mar 2020
Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data Sergei Popov S. Morozov Artem Babenko LMTD 80 290 0 13 Sep 2019