NeurIPS 2022 Workshop TRL Submissions

The Need for Tabular Representation Learning: An Industry Perspective
Joyce Cahoon, Alexandra Savelieva, Andreas C Mueller, Avrilia Floratou, Carlo Curino, Hiren Patel, Jordan Henkel, Markus Weimer, Nellie Gustafsson, Richard Wydrowski, Roman Batoukov, Shaleen Deep, Venkatesh Emani
- Published: 21 Oct 2022, Last Modified: 16 May 2023
- TRL @ NeurIPS 2022 Poster
- Readers: Everyone
SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training
Gowthami Somepalli, Avi Schwarzschild, Micah Goldblum, C. Bayan Bruss, Tom Goldstein
- Published: 21 Oct 2022, Last Modified: 16 May 2023
- TRL @ NeurIPS 2022 Poster
- Readers: Everyone
Generic Entity Resolution Models
Jiawei Tang, Yifei Zuo, Lei Cao, Samuel Madden
- Published: 21 Oct 2022, Last Modified: 16 May 2023
- TRL @ NeurIPS 2022 Poster
- Readers: Everyone
RoTaR: Efficient Row-Based Table Representation Learning via Teacher-Student Training (Short Paper)
Zui Chen, Lei Cao, Samuel Madden
- Published: 21 Oct 2022, Last Modified: 16 May 2023
- TRL @ NeurIPS 2022 Poster
- Readers: Everyone
STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables
Jaehyun Nam, Jihoon Tack, Kyungmin Lee, Hankook Lee, Jinwoo Shin
- Published: 21 Oct 2022, Last Modified: 14 Apr 2024
- TRL @ NeurIPS 2022 Poster
- Readers: Everyone
Analysis of the Attention in Tabular Language Models
Aneta Koleva, Martin Ringsquandl, Volker Tresp
- Published: 21 Oct 2022, Last Modified: 16 May 2023
- TRL @ NeurIPS 2022 Oral
- Readers: Everyone
Towards Foundation Models for Relational Databases [Vision Paper]
Liane Vogel, Benjamin Hilprecht, Carsten Binnig
- Published: 21 Oct 2022, Last Modified: 16 May 2023
- TRL @ NeurIPS 2022 Poster
- Readers: Everyone
Transfer Learning with Deep Tabular Models
Roman Levin, Valeriia Cherepanova, Avi Schwarzschild, Arpit Bansal, C. Bayan Bruss, Tom Goldstein, Andrew Gordon Wilson, Micah Goldblum
- Published: 21 Oct 2022, Last Modified: 14 Apr 2024
- TRL @ NeurIPS 2022 Oral
- Readers: Everyone
RegCLR: A Self-Supervised Framework for Tabular Representation Learning in the Wild
Weiyao Wang, Byung-Hak Kim, Varun Ganapathi
- Published: 21 Oct 2022, Last Modified: 16 May 2023
- TRL @ NeurIPS 2022 Oral
- Readers: Everyone
Diffusion models for missing value imputation in tabular data
Shuhan Zheng, Nontawat Charoenphakdee
- Published: 21 Oct 2022, Last Modified: 14 Apr 2024
- TRL @ NeurIPS 2022 Poster
- Readers: Everyone
STab: Self-supervised Learning for Tabular Data
Ehsan Hajiramezanali, Nathaniel Lee Diamant, Gabriele Scalia, Max W Shen
- Published: 21 Oct 2022, Last Modified: 16 May 2023
- TRL @ NeurIPS 2022 Poster
- Readers: Everyone
TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second
Noah Hollmann, Samuel Müller, Katharina Eggensperger, Frank Hutter
- Published: 21 Oct 2022, Last Modified: 16 May 2023
- TRL @ NeurIPS 2022 Oral
- Readers: Everyone
MapQA: A Dataset for Question Answering on Choropleth Maps
Shuaichen Chang, David Palzer, Jialin Li, Eric Fosler-Lussier, Ningchuan Xiao
- Published: 21 Oct 2022, Last Modified: 14 Apr 2024
- TRL @ NeurIPS 2022 Poster
- Readers: Everyone
Towards Parameter-Efficient Automation of Data Wrangling Tasks with Prefix-Tuning
David Vos, Till Döhmen, Sebastian Schelter
- Published: 21 Oct 2022, Last Modified: 16 May 2023
- TRL @ NeurIPS 2022 Oral
- Readers: Everyone
CASPR: Customer Activity Sequence-based Prediction and Representation
Pin-Jung Chen, Sahil Bhatnagar, Damian Konrad Kowalczyk
- Published: 21 Oct 2022, Last Modified: 16 May 2023
- TRL @ NeurIPS 2022 Poster
- Readers: Everyone
MET: Masked Encoding for Tabular Data
Kushal Alpesh Majmundar, Sachin Goyal, Praneeth Netrapalli, Prateek Jain
- Published: 21 Oct 2022, Last Modified: 16 May 2023
- TRL @ NeurIPS 2022 Poster
- Readers: Everyone
Conditional Contrastive Networks
Emily Mu, John Guttag
- Published: 21 Oct 2022, Last Modified: 16 May 2023
- TRL @ NeurIPS 2022 Poster
- Readers: Everyone
Structural Embedding of Data Files with MAGRITTE
Gerardo Vitagliano, Mazhar Hameed, Felix Naumann
- Published: 21 Oct 2022, Last Modified: 16 May 2023
- TRL @ NeurIPS 2022 Poster
- Readers: Everyone
Active Learning with Tabular Language Models
Martin Ringsquandl, Aneta Koleva
- Published: 21 Oct 2022, Last Modified: 16 May 2023
- TRL @ NeurIPS 2022 Poster
- Readers: Everyone
Self-supervised Representation Learning Across Sequential and Tabular Features Using Transformers
Rajat Agarwal, Anand Muralidhar, Agniva Som, Hemant Kowshik
- Published: 21 Oct 2022, Last Modified: 16 May 2023
- TRL @ NeurIPS 2022 Poster
- Readers: Everyone
Self Supervised Pre-training for Large Scale Tabular Data
Sharad Chitlangia, Anand Muralidhar, Rajat Agarwal
- Published: 21 Oct 2022, Last Modified: 16 May 2023
- TRL @ NeurIPS 2022 Poster
- Readers: Everyone
STable: Table Generation Framework for Encoder-Decoder Models
Michał Pietruszka, Michał Turski, Łukasz Borchmann, Tomasz Dwojak, Gabriela Pałka, Karolina Szyndler, Dawid Jurkiewicz, Łukasz Garncarek
- Published: 21 Oct 2022, Last Modified: 16 May 2023
- TRL @ NeurIPS 2022 Oral
- Readers: Everyone
Tabular Data Generation: Can We Fool XGBoost ?
EL Hacen Zein, Tanguy Urvoy
- Published: 21 Oct 2022, Last Modified: 16 May 2023
- TRL @ NeurIPS 2022 Poster
- Readers: Everyone