Towards Robust Classification Model by Counterfactual and Invariant Data
Generation

Towards Robust Classification Model by Counterfactual and Invariant Data Generation

2 June 2021

Anna Goldenberg

Papers citing "Towards Robust Classification Model by Counterfactual and Invariant Data Generation"

9 / 9 papers shown

Title
Sebra: Debiasing Through Self-Guided Bias Ranking Adarsh Kappiyath Abhra Chaudhuri Ajay Jaiswal Ziquan Liu Yunpeng Li Xiatian Zhu L. Yin CML 111 1 1 30 Jan 2025
How Spurious Features Are Memorized: Precise Analysis for Random and NTK Features Simone Bombari Marco Mondelli AAML 19 4 0 20 May 2023
A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies Others Zhiheng Li Ivan Evtimov Albert Gordo C. Hazirbas Tal Hassner Cristian Canton Ferrer Chenliang Xu Mark Ibrahim 34 71 0 09 Dec 2022
AutoCAD: Automatically Generating Counterfactuals for Mitigating Shortcut Learning Jiaxin Wen Yeshuang Zhu Jinchao Zhang Jie Zhou Minlie Huang CML AAML 22 8 0 29 Nov 2022
Disentangle and Remerge: Interventional Knowledge Distillation for Few-Shot Object Detection from A Conditional Causal Perspective Jiangmeng Li Yanan Zhang Jingyao Wang Hui Xiong Chengbo Jiao Xiaohui Hu Changwen Zheng Gang Hua CML 34 28 0 26 Aug 2022
Efficient Classification with Counterfactual Reasoning and Active Learning A. Mohammed D. Nguyen Bao Duong T. Nguyen CML 27 0 0 25 Jul 2022
Understanding Rare Spurious Correlations in Neural Networks Yao-Yuan Yang Chi-Ning Chou Kamalika Chaudhuri AAML 16 25 0 10 Feb 2022
Counterfactual Samples Synthesizing for Robust Visual Question Answering Long Chen Xin Yan Jun Xiao Hanwang Zhang Shiliang Pu Yueting Zhuang OOD AAML 154 290 0 14 Mar 2020
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 233 674 0 17 Feb 2018