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226 papers

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large language model (13587) question answering (2963) code generation (746) table question answering (121) table understanding (132) representation learning (6206) synthetic data generation (590) few-shot learning (3398) zero-shot learning (3650) neural network (6616)

Papers

Locally Sparse Neural Networks for Tabular Biomedical Data ICML 2022
Synthsonic: Fast, Probabilistic modeling and Synthesis of Tabular Data AISTATS 2022
Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning NIPS 2021
BreakingBERT@IITK at SemEval-2021 Task 9: Statement Verification and Evidence Finding with Tables ACL 2021
SemEval-2021 Task 9: Fact Verification and Evidence Finding for Tabular Data in Scientific Documents (SEM-TAB-FACTS) ACL 2021
BOUN at SemEval-2021 Task 9: Text Augmentation Techniques for Fact Verification in Tabular Data ACL 2021
Retiring Adult: New Datasets for Fair Machine Learning NIPS 2021
BOUN at SemEval-2021 Task 9: Text Augmentation Techniques for Fact Verification in Tabular Data SEMEVAL 2021
Well-tuned Simple Nets Excel on Tabular Datasets NIPS 2021
SpreadsheetCoder: Formula Prediction from Semi-structured Context ICML 2021
SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning NIPS 2021
A Package for Learning on Tabular and Text Data with Transformers NAACL 2021
Revisiting Deep Learning Models for Tabular Data NIPS 2021
Translating Headers of Tabular Data: A Pilot Study of Schema Translation EMNLP 2021
BOUN at SemEval-2021 Task 9: Text Augmentation Techniques for Fact Verification in Tabular Data IJCNLP 2021
Combining sentence and table evidence to predict veracity of factual claims using TaPaS and RoBERTa EMNLP 2021
Interactive Anomaly Detection in Mixed Tabular Data using Bayesian Networks PGM 2020
VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain NIPS 2020
Fast, Accurate, and Simple Models for Tabular Data via Augmented Distillation NIPS 2020
Program Enhanced Fact Verification with Verbalization and Graph Attention Network EMNLP 2020
HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data EMNLP 2020
DataWig: Missing Value Imputation for Tables JMLR 2019
Modeling Tabular data using Conditional GAN NIPS 2019
Multi-Layered Gradient Boosting Decision Trees NIPS 2018
Regularization Learning Networks: Deep Learning for Tabular Datasets NIPS 2018