TabText: A Flexible and Contextual Approach to Tabular Data Representation

21 June 2022

Papers citing "TabText: A Flexible and Contextual Approach to Tabular Data Representation"

7 / 7 papers shown

Title
On Embeddings for Numerical Features in Tabular Deep Learning Yura Gorishniy Ivan Rubachev Artem Babenko LMTD 94 172 0 10 Mar 2022
Data Harmonisation for Information Fusion in Digital Healthcare: A State-of-the-Art Systematic Review, Meta-Analysis and Future Research Directions Yang Nan Javier Del Ser Simon Walsh Carola Schönlieb M. Roberts ... Philippe Lambin Leonor Cerdá Alberich L. Martí-Bonmatí Francisco Herrera Guang Yang 83 108 0 17 Jan 2022
SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training Gowthami Somepalli Micah Goldblum Avi Schwarzschild C. Bayan Bruss Tom Goldstein LMTD 85 328 0 02 Jun 2021
Longformer: The Long-Document Transformer Iz Beltagy Matthew E. Peters Arman Cohan RALM VLM 168 4,071 0 10 Apr 2020
TAPAS: Weakly Supervised Table Parsing via Pre-training Jonathan Herzig Pawel Krzysztof Nowak Thomas Müller Francesco Piccinno Julian Martin Eisenschlos LMTD RALM 96 651 0 05 Apr 2020
Publicly Available Clinical BERT Embeddings Emily Alsentzer John R. Murphy Willie Boag W. Weng Di Jin Tristan Naumann Matthew B. A. McDermott AI4MH 153 1,974 0 06 Apr 2019
BioBERT: a pre-trained biomedical language representation model for biomedical text mining Jinhyuk Lee Wonjin Yoon Sungdong Kim Donghyeon Kim Sunkyu Kim Chan Ho So Jaewoo Kang OOD 156 5,659 0 25 Jan 2019