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Invariant Representations through Adversarial Forgetting

11 November 2019

Papers citing "Invariant Representations through Adversarial Forgetting"

25 / 25 papers shown

Title
Robust Concept Erasure via Kernelized Rate-Distortion Maximization Somnath Basu Roy Chowdhury Nicholas Monath Kumar Avinava Dubey Amr Ahmed Snigdha Chaturvedi 82 4 0 30 Nov 2023
Learning Fair Representations with High-Confidence Guarantees Yuhong Luo Austin Hoag Philip S Thomas FaML AI4TS 190 1 0 23 Oct 2023
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning Zhenyi Wang Enneng Yang Li Shen Heng-Chiao Huang KELM MU 96 52 0 16 Jul 2023
Scalable Infomin Learning Yanzhi Chen Wei-Der Sun Yingzhen Li Adrian Weller 100 8 0 21 Feb 2023
Deep Learning on a Healthy Data Diet: Finding Important Examples for Fairness A. Zayed Prasanna Parthasarathi Gonçalo Mordido Hamid Palangi Samira Shabanian Sarath Chandar 54 22 0 20 Nov 2022
CAT: Controllable Attribute Translation for Fair Facial Attribute Classification Jiazhi Li Wael AbdAlmageed CVBM 85 9 0 14 Sep 2022
I2CR: Improving Noise Robustness on Keyword Spotting Using Inter-Intra Contrastive Regularization Dianwen Ng J. Yip Tanmay Surana Zhao Yang Chong Zhang Yukun Ma Chongjia Ni Chng Eng Siong B. Ma 83 6 0 14 Sep 2022
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey Max Hort Zhenpeng Chen Jie M. Zhang Mark Harman Federica Sarro FaML AI4CE 105 177 0 14 Jul 2022
SoFaiR: Single Shot Fair Representation Learning Xavier Gitiaux Huzefa Rangwala 68 4 0 26 Apr 2022
Distraction is All You Need for Fairness Mehdi Yazdani-Jahromi Amirarsalan Rajabi Ali Khodabandeh Yalabadi Aida Tayebi O. Garibay 113 3 0 15 Mar 2022
Information-Theoretic Bias Assessment Of Learned Representations Of Pretrained Face Recognition Jiazhi Li Wael AbdAlmageed 92 6 0 08 Nov 2021
Attributing Fair Decisions with Attention Interventions Ninareh Mehrabi Umang Gupta Fred Morstatter Greg Ver Steeg Aram Galstyan 68 21 0 08 Sep 2021
Fair Normalizing Flows Mislav Balunović Anian Ruoss Martin Vechev AAML 57 38 0 10 Jun 2021
Training Domain-invariant Object Detector Faster with Feature Replay and Slow Learner Chaehyeon Lee Junghoon Seo Heechul Jung 32 3 0 31 May 2021
Fair Representations by Compression Xavier Gitiaux Huzefa Rangwala FaML 114 14 0 28 May 2021
Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation Umang Gupta Aaron Ferber B. Dilkina Greg Ver Steeg 101 58 0 11 Jan 2021
Disentangled Information Bottleneck Ziqi Pan Li Niu Jianfu Zhang Liqing Zhang 73 37 0 14 Dec 2020
Class-agnostic Object Detection Ayush Jaiswal Yue Wu P. Natarajan Premkumar Natarajan ObjD 143 32 0 28 Nov 2020
mask-Net: Learning Context Aware Invariant Features using Adversarial Forgetting (Student Abstract) Hemant Yadav A. Singh Rachit Mittal Sunayana Sitaram Yi Yu R. Shah OOD CLL 31 1 0 25 Nov 2020
Improving Transformation Invariance in Contrastive Representation Learning Adam Foster Rattana Pukdee Tom Rainforth 102 23 0 19 Oct 2020
FIND: Human-in-the-Loop Debugging Deep Text Classifiers Piyawat Lertvittayakumjorn Lucia Specia Francesca Toni 54 54 0 10 Oct 2020
Privacy Enhancing Machine Learning via Removal of Unwanted Dependencies Mert Al Semih Yagli S. Kung 55 3 0 30 Jul 2020
Incorporating Symmetry into Deep Dynamics Models for Improved Generalization Rui Wang Robin Walters Rose Yu AI4CE 143 177 0 08 Feb 2020
Inverse Learning of Symmetries Mario Wieser S. Parbhoo Aleksander Wieczorek Volker Roth 76 6 0 07 Feb 2020
Discovery and Separation of Features for Invariant Representation Learning Ayush Jaiswal Rob Brekelmans Daniel Moyer Greg Ver Steeg Wael AbdAlmageed Premkumar Natarajan CML OOD 46 11 0 02 Dec 2019