Scaling Experiments in Self-Supervised Cross-Table Representation
Learning

Scaling Experiments in Self-Supervised Cross-Table Representation Learning

29 September 2023

Maximilian Schambach

Dominique Paul

Papers citing "Scaling Experiments in Self-Supervised Cross-Table Representation Learning"

5 / 5 papers shown

Title
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
Reasoning Like Program Executors Xinyu Pi Qian Liu Bei Chen Morteza Ziyadi Zeqi Lin Qiang Fu Yan Gao Jian-Guang Lou Weizhu Chen ReLM LRM 246 52 0 27 Jan 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,337 0 11 Nov 2021
TabTransformer: Tabular Data Modeling Using Contextual Embeddings Xin Huang A. Khetan Milan Cvitkovic Zohar S. Karnin ViT LMTD 140 412 0 11 Dec 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 220 4,424 0 23 Jan 2020