Learning Qualitatively Diverse and Interpretable Rules for
Classification

Learning Qualitatively Diverse and Interpretable Rules for Classification

22 June 2018

Finale Doshi-Velez

Papers citing "Learning Qualitatively Diverse and Interpretable Rules for Classification"

6 / 6 papers shown

Title
Learning Diverse Features in Vision Transformers for Improved Generalization A. Nicolicioiu Andrei Liviu Nicolicioiu B. Alexe Damien Teney 29 3 0 30 Aug 2023
Predicting is not Understanding: Recognizing and Addressing Underspecification in Machine Learning Damien Teney Maxime Peyrard Ehsan Abbasnejad 22 29 0 06 Jul 2022
Controlling Directions Orthogonal to a Classifier Yilun Xu Hao He T. Shen Tommi Jaakkola 61 19 0 27 Jan 2022
Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions with Superior OOD Generalization Damien Teney Ehsan Abbasnejad Simon Lucey A. Hengel 23 86 0 12 May 2021
Uncertainty-Aware (UNA) Bases for Deep Bayesian Regression Using Multi-Headed Auxiliary Networks Sujay Thakur Cooper Lorsung Yaniv Yacoby Finale Doshi-Velez Weiwei Pan BDL UQCV 20 4 0 21 Jun 2020
Human-in-the-Loop Interpretability Prior Isaac Lage A. Ross Been Kim S. Gershman Finale Doshi-Velez 21 120 0 29 May 2018