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TabContrast: A Local-Global Level Method for Tabular Contrastive Learning
Hao Liu, Yixin Chen, Bradley Fritz, Christopher King
- Published: 28 Oct 2023, Last Modified: 15 Nov 2023
- TRL @ NeurIPS 2023 Poster
- Readers: Everyone
Modeling string entries for tabular data prediction: do we need big large language models?
Leo Grinsztajn, Myung Jun Kim, Edouard Oyallon, Gael Varoquaux
- Published: 28 Oct 2023, Last Modified: 16 Nov 2023
- TRL @ NeurIPS 2023 Poster
- Readers: Everyone
On Incorporating new Variables during Evaluation
Harsimran Bhasin, Soumyadeep Ghosh
- Published: 28 Oct 2023, Last Modified: 05 Dec 2023
- TRL @ NeurIPS 2023 Poster
- Readers: Everyone
Unlocking the Transferability of Tokens in Deep Models for Tabular Data
Qile Zhou, Han-Jia Ye, Leye Wang, De-Chuan Zhan
- Published: 28 Oct 2023, Last Modified: 16 Nov 2023
- TRL @ NeurIPS 2023 Poster
- Readers: Everyone
Benchmarking Tabular Representation Models in Transfer Learning Settings
Qixuan Jin, Talip Ucar
- Published: 28 Oct 2023, Last Modified: 16 Nov 2023
- TRL @ NeurIPS 2023 Poster
- Readers: Everyone
HyperFast: Instant Classification for Tabular Data
David Bonet, Daniel Mas Montserrat, Xavier Giró-i-Nieto, Alexander Ioannidis
- Published: 28 Oct 2023, Last Modified: 02 Dec 2023
- TRL @ NeurIPS 2023 Oral
- Readers: Everyone
A Performance-Driven Benchmark for Feature Selection in Tabular Deep Learning
Valeriia Cherepanova, Roman Levin, Gowthami Somepalli, Jonas Geiping, C. Bruss, Andrew Wilson, Tom Goldstein, Micah Goldblum
- Published: 28 Oct 2023, Last Modified: 10 Nov 2023
- TRL @ NeurIPS 2023 Poster
- Readers: Everyone
Testing the Limits of Unified Sequence to Sequence LLM Pretraining on Diverse Table Data Tasks
Soumajyoti Sarkar, Leonard Lausen
- Published: 28 Oct 2023, Last Modified: 15 Nov 2023
- TRL @ NeurIPS 2023 Poster
- Readers: Everyone
Training-Free Generalization on Heterogeneous Tabular Data via Meta-Representation
Han-Jia Ye, Qile Zhou, De-Chuan Zhan
- Published: 28 Oct 2023, Last Modified: 29 Nov 2023
- TRL @ NeurIPS 2023 Oral
- Readers: Everyone
InterpreTabNet: Enhancing Interpretability of Tabular Data Using Deep Generative Models and Large Language Models
Jacob Yoke Hong Si, Michael Cooper, Wendy Yusi Cheng, Rahul Krishnan
- Published: 28 Oct 2023, Last Modified: 08 Nov 2023
- TRL @ NeurIPS 2023 Poster
- Readers: Everyone
CHORUS: Foundation Models for Unified Data Discovery and Exploration
Moe Kayali, Anton Lykov, Ilias Fountalis, Nikolaos Vasiloglou, Dan Olteanu, Dan Suciu
- Published: 28 Oct 2023, Last Modified: 16 Nov 2023
- TRL @ NeurIPS 2023 Poster
- Readers: Everyone
Generating Data Augmentation Queries Using Large Language Models
Christopher Buss, Jasmin Mousavi, Mikhail Tokarev, Arash Termehchy, David Maier, Stefan Lee
- Published: 28 Oct 2023, Last Modified: 16 Nov 2023
- TRL @ NeurIPS 2023 Poster
- Readers: Everyone
Explaining Explainers: Necessity and Sufficiency in Tabular Data
Prithwijit Chowdhury, Mohit Prabhushankar, Ghassan AlRegib
- Published: 28 Oct 2023, Last Modified: 16 Nov 2023
- TRL @ NeurIPS 2023 Poster
- Readers: Everyone
Elephants Never Forget: Testing Language Models for Memorization of Tabular Data
Sebastian Bordt, Harsha Nori, Rich Caruana
- Published: 28 Oct 2023, Last Modified: 16 Nov 2023
- TRL @ NeurIPS 2023 Poster
- Readers: Everyone
Scaling TabPFN: Sketching and Feature Selection for Tabular Prior-Data Fitted Networks
Benjamin Feuer, Niv Cohen, Chinmay Hegde
- Published: 28 Oct 2023, Last Modified: 15 Nov 2023
- TRL @ NeurIPS 2023 Poster
- Readers: Everyone
GCondNet: A Novel Method for Improving Neural Networks on Small High-Dimensional Tabular Data
Andrei Margeloiu, Nikola Simidjievski, Pietro Lio, Mateja Jamnik
- Published: 28 Oct 2023, Last Modified: 29 Nov 2023
- TRL @ NeurIPS 2023 Oral
- Readers: Everyone
NeuroDB: Efficient, Privacy-Preserving and Robust Query Answering with Neural Networks
Sepanta Zeighami, Cyrus Shahabi
- Published: 28 Oct 2023, Last Modified: 10 Nov 2023
- TRL @ NeurIPS 2023 Poster
- Readers: Everyone
Pool-Search-Demonstrate: Improving Data-wrangling LLMs via better in-context examples
Joon Suk Huh, Changho Shin, Elina Choi
- Published: 28 Oct 2023, Last Modified: 16 Dec 2023
- TRL @ NeurIPS 2023 Oral
- Readers: Everyone
A DB-First approach to query factual information in LLMs
Mohammed Saeed, Nicola De Cao, Paolo Papotti
- Published: 28 Oct 2023, Last Modified: 26 Nov 2023
- TRL @ NeurIPS 2023 Poster
- Readers: Everyone
Augmentation for Context in Financial Numerical Reasoning over Textual and Tabular Data with Large-Scale Language Model
Yechan Hwang, Jinsu Lim, Young-Jun Lee, Ho-Jin Choi
- Published: 28 Oct 2023, Last Modified: 16 Nov 2023
- TRL @ NeurIPS 2023 Poster
- Readers: Everyone
Incorporating LLM Priors into Tabular Learners
Max Zhu, Siniša Stanivuk, Andrija Petrovic, Mladen Nikolic, Pietro Lio
- Published: 28 Oct 2023, Last Modified: 12 Nov 2023
- TRL @ NeurIPS 2023 Poster
- Readers: Everyone
IngesTables: Scalable and Efficient Training of LLM-Enabled Tabular Foundation Models
Scott Yak, Yihe Dong, Javier Gonzalvo, Sercan Arik
- Published: 28 Oct 2023, Last Modified: 07 Dec 2023
- TRL @ NeurIPS 2023 Oral
- Readers: Everyone
Tabular Representation, Noisy Operators, and Impacts on Table Structure Understanding Tasks in LLMs
Ananya Singha, José Cambronero, Sumit Gulwani, Vu Le, Chris Parnin
- Published: 28 Oct 2023, Last Modified: 27 Nov 2023
- TRL @ NeurIPS 2023 Oral
- Readers: Everyone
Introducing the Observatory Library for End-to-End Table Embedding Inference
Tianji Cong, Zhenjie Sun, Paul Groth, H. Jagadish, Madelon Hulsebos
- Published: 28 Oct 2023, Last Modified: 15 Nov 2023
- TRL @ NeurIPS 2023 Poster
- Readers: Everyone
Self-supervised Representation Learning from Random Data Projectors
Yi Sui, Tongzi Wu, Jesse Cresswell, Ga Wu, George Stein, Xiao Shi Huang, Xiaochen Zhang, Maksims Volkovs
- Published: 28 Oct 2023, Last Modified: 29 Nov 2023
- TRL @ NeurIPS 2023 Oral
- Readers: Everyone

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