Subgroup Robustness Grows On Trees: An Empirical Baseline Investigation

Subgroup Robustness Grows On Trees: An Empirical Baseline Investigation

23 November 2022

Papers citing "Subgroup Robustness Grows On Trees: An Empirical Baseline Investigation"

18 / 18 papers shown

Title
LLM Embeddings Improve Test-time Adaptation to Tabular $Y\|X$ -Shifts Yibo Zeng Jiashuo Liu H. Lam Hongseok Namkoong LMTD 19 1 0 09 Oct 2024
ABCFair: an Adaptable Benchmark approach for Comparing Fairness Methods Marybeth Defrance Maarten Buyl Tijl De Bie 31 3 0 25 Sep 2024
Large Scale Transfer Learning for Tabular Data via Language Modeling Josh Gardner Juan C. Perdomo Ludwig Schmidt LMTD 34 13 0 17 Jun 2024
Why Tabular Foundation Models Should Be a Research Priority B. V. Breugel M. Schaar LMTD VLM AI4CE 34 33 0 02 May 2024
Multigroup Robustness Lunjia Hu Charlotte Peale Judy Hanwen Shen OOD 21 1 0 01 May 2024
Are Compressed Language Models Less Subgroup Robust? Leonidas Gee Andrea Zugarini Novi Quadrianto 21 1 0 26 Mar 2024
CARTE: Pretraining and Transfer for Tabular Learning Myung Jun Kim Léo Grinsztajn Gaël Varoquaux LMTD 49 13 0 26 Feb 2024
Multi-group Learning for Hierarchical Groups Samuel Deng Daniel Hsu AI4CE 20 1 0 01 Feb 2024
Benchmarking Distribution Shift in Tabular Data with TableShift Josh Gardner Zoran Popovic Ludwig Schmidt OOD 13 32 0 10 Dec 2023
Survival Prediction from Imbalance colorectal cancer dataset using hybrid sampling methods and tree-based classifiers Sadegh Soleimani Mahsa Bahrami M. Vali 11 1 0 04 Sep 2023
Bias Testing and Mitigation in LLM-based Code Generation Dong Huang Qingwen Bu Jie M. Zhang Xiaofei Xie Junjie Chen Heming Cui 33 20 0 03 Sep 2023
Cross-Institutional Transfer Learning for Educational Models: Implications for Model Performance, Fairness, and Equity Joshua Gardner Renzhe Yu Quan Nguyen Christopher A. Brooks René F. Kizilcec FedML 33 14 0 01 May 2023
An Operational Perspective to Fairness Interventions: Where and How to Intervene Brian Hsu Xiaotong Chen Ying Han Hongseok Namkoong Kinjal Basu 13 1 0 03 Feb 2023
FARE: Provably Fair Representation Learning with Practical Certificates Nikola Jovanović Mislav Balunović Dimitar I. Dimitrov Martin Vechev 41 10 0 13 Oct 2022
Comparing Human and Machine Bias in Face Recognition Samuel Dooley Ryan Downing George Z. Wei N. Shankar Bradon Thymes ... Olufemi Obiwumi Valeriia Cherepanova Micah Goldblum John P. Dickerson Tom Goldstein CVBM 57 12 0 15 Oct 2021
Fairness in Machine Learning L. Oneto Silvia Chiappa FaML 233 486 0 31 Dec 2020
TabTransformer: Tabular Data Modeling Using Contextual Embeddings Xin Huang A. Khetan Milan Cvitkovic Zohar S. Karnin ViT LMTD 140 415 0 11 Dec 2020
Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data Sergei Popov S. Morozov Artem Babenko LMTD 83 292 0 13 Sep 2019