tabular data

Manipulating SHAP via Adversarial Data Perturbations (Student Abstract) AAAI 2022 Named Entity Recognition in Industrial Tables using Tabular Language Models EMNLP 2022 On Embeddings for Numerical Features in Tabular Deep Learning NeurIPS 2022 Parameter-Efficient Abstractive Question Answering over Tables or Text ACL 2022 Scarf: Self-Supervised Contrastive Learning using Random Feature Corruption ICLR 2022 Sparse Interaction Additive Networks via Feature Interaction Detection and Sparse Selection NeurIPS 2022 Subgroup Robustness Grows On Trees: An Empirical Baseline Investigation NeurIPS 2022 Synthsonic: Fast, Probabilistic modeling and Synthesis of Tabular Data AISTATS 2022 Table2Graph: Transforming Tabular Data to Unified Weighted Graph IJCAI 2022 TabNAS: Rejection Sampling for Neural Architecture Search on Tabular Datasets NeurIPS 2022 TransTab: Learning Transferable Tabular Transformers Across Tables NeurIPS 2022 Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML Evaluation NeurIPS 2022 Why do tree-based models still outperform deep learning on typical tabular data? NeurIPS 2022 A Package for Learning on Tabular and Text Data with Transformers NAACL 2021 BOUN at SemEval-2021 Task 9: Text Augmentation Techniques for Fact Verification in Tabular Data SemEval 2021 Combining sentence and table evidence to predict veracity of factual claims using TaPaS and RoBERTa EMNLP 2021 DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks NeurIPS 2021 Feature Convolutional Networks ACML 2021 Individually Fair Gradient Boosting ICLR 2021 Net-DNF: Effective Deep Modeling of Tabular Data ICLR 2021 Retiring Adult: New Datasets for Fair Machine Learning NeurIPS 2021 Revisiting Deep Learning Models for Tabular Data NeurIPS 2021 Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning NeurIPS 2021 SpreadsheetCoder: Formula Prediction from Semi-structured Context ICML 2021 SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning NeurIPS 2021