NeurIPS 2023 Workshop TRL Submissions

A Deep Learning Blueprint for Relational Databases
Lukáš Zahradník, Jan Neumann, Gustav Šír
- Published: 28 Oct 2023, Last Modified: 03 Nov 2023
- TRL @ NeurIPS 2023 Poster
- Readers: Everyone
Data Ambiguity Strikes Back: How Documentation Improves GPT's Text-to-SQL
Zezhou Huang, Pavan Kalyan Damalapati, Eugene Wu
- Published: 28 Oct 2023, Last Modified: 23 Nov 2023
- TRL @ NeurIPS 2023 Oral
- Readers: Everyone
MultiTabQA: Generating Tabular Answers for Multi-Table Question Answering
Vaishali Pal, Andrew Yates, Evangelos Kanoulas, Maarten Rijke
- Published: 28 Oct 2023, Last Modified: 28 Nov 2023
- TRL @ NeurIPS 2023 Oral
- Readers: Everyone
Tree-Regularized Tabular Embeddings
Xuan Li, Yun Wang, Bo Li
- Published: 28 Oct 2023, Last Modified: 06 Nov 2023
- TRL @ NeurIPS 2023 Poster
- Readers: Everyone
Beyond Individual Input for Deep Anomaly Detection on Tabular Data
Hugo Thimonier, Fabrice Popineau, Arpad Rimmel, Bich-Liên DOAN
- Published: 28 Oct 2023, Last Modified: 03 Nov 2023
- TRL @ NeurIPS 2023 Poster
- Readers: Everyone
ReConTab: Regularized Contrastive Representation Learning for Tabular Data
Suiyao Chen, Jing Wu, Naira Hovakimyan, Handong Yao
- Published: 28 Oct 2023, Last Modified: 13 Nov 2023
- TRL @ NeurIPS 2023 Poster
- Readers: Everyone
Unnormalized Density Estimation with Root Sobolev Norm Regularization
Mark Kozdoba, Binyamin Perets, Shie Mannor
- Published: 28 Oct 2023, Last Modified: 20 Nov 2023
- TRL @ NeurIPS 2023 Poster
- Readers: Everyone
Multitask-Guided Self-Supervised Tabular Learning for Patient-Specific Survival Prediction
You Wu, Omid Bazgir, Yongju Lee, Tommaso Biancalani, James Lu, Ehsan Hajiramezanali
- Published: 28 Oct 2023, Last Modified: 09 Nov 2023
- TRL @ NeurIPS 2023 Poster
- Readers: Everyone
Hopular: Modern Hopfield Networks for Tabular Data
Bernhard Schäfl, Lukas Gruber, Angela Bitto-Nemling, Sepp Hochreiter
- Published: 28 Oct 2023, Last Modified: 31 Oct 2023
- TRL @ NeurIPS 2023 Poster
- Readers: Everyone
Scaling Experiments in Self-Supervised Cross-Table Representation Learning
Maximilian Schambach, Dominique Paul, Johannes Otterbach
- Published: 28 Oct 2023, Last Modified: 07 Nov 2023
- TRL @ NeurIPS 2023 Poster
- Readers: Everyone
In Defense of Zero Imputation for Tabular Deep Learning
Mike Van Ness, Madeleine Udell
- Published: 28 Oct 2023, Last Modified: 10 Nov 2023
- TRL @ NeurIPS 2023 Poster
- Readers: Everyone
Fine-Tuning the Retrieval Mechanism for Tabular Deep Learning
Felix den Breejen, Sangmin Bae, Stephen Cha, Tae-Young Kim, Seoung Hyun Koh, Se-Young Yun
- Published: 28 Oct 2023, Last Modified: 13 Nov 2023
- TRL @ NeurIPS 2023 Poster
- Readers: Everyone
Binning as a Pretext Task: Improving Self-Supervised Learning in Tabular Domains
Kyungeun Lee, Ye Seul Sim, Hyeseung Cho, Suhee Yoon, Sanghyu Yoon, Woohyung Lim
- Published: 28 Oct 2023, Last Modified: 07 Nov 2023
- TRL @ NeurIPS 2023 Poster
- Readers: Everyone
How to Prompt LLMs for Text-to-SQL: A Study in Zero-shot, Single-domain, and Cross-domain Settings
Shuaichen Chang, Eric Fosler-Lussier
- Published: 28 Oct 2023, Last Modified: 29 Nov 2023
- TRL @ NeurIPS 2023 Oral
- Readers: Everyone
TabPFGen – Tabular Data Generation with TabPFN
Junwei Ma, Apoorv Dankar, George Stein, Guangwei Yu, Anthony Caterini
- Published: 28 Oct 2023, Last Modified: 28 Nov 2023
- TRL @ NeurIPS 2023 Oral
- Readers: Everyone
High-Performance Transformers for Table Structure Recognition Need Early Convolutions
Anthony Peng, Seongmin Lee, Xiaojing Wang, Rajarajeswari (Raji) Balasubramaniyan, Duen Horng Chau
- Published: 28 Oct 2023, Last Modified: 14 Nov 2023
- TRL @ NeurIPS 2023 Oral
- Readers: Everyone
GradTree: Learning Axis-Aligned Decision Trees with Gradient Descent
Sascha Marton, Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt
- Published: 28 Oct 2023, Last Modified: 03 Nov 2023
- TRL @ NeurIPS 2023 Poster
- Readers: Everyone