"Forgetting" in Machine Learning and Beyond: A Survey

31 May 2024

Alyssa Shuang Sha

Bernardo Pereira Nunes

Armin Haller

KELM

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Papers citing ""Forgetting" in Machine Learning and Beyond: A Survey"

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Title
RECOMP: Improving Retrieval-Augmented LMs with Compression and Selective Augmentation Fangyuan Xu Weijia Shi Eunsol Choi RALM 82 156 0 06 Oct 2023
An Information-Theoretic Approach to Transferability in Task Transfer Learning Yajie Bao Yongni Li Shao-Lun Huang Lin Zhang Lizhong Zheng Amir Zamir Leonidas Guibas 61 121 0 20 Dec 2022
Equalizing Credit Opportunity in Algorithms: Aligning Algorithmic Fairness Research with U.S. Fair Lending Regulation Indra Elizabeth Kumar Keegan E. Hines John P. Dickerson FaML 74 22 0 05 Oct 2022
Training Language Models with Memory Augmentation Zexuan Zhong Tao Lei Danqi Chen RALM 281 131 0 25 May 2022
PUMA: Performance Unchanged Model Augmentation for Training Data Removal Ga Wu Masoud Hashemi C. Srinivasa MU 42 71 0 02 Mar 2022
Efficient Attribute Unlearning: Towards Selective Removal of Input Attributes from Feature Representations Tao Guo Song Guo Jiewei Zhang Wenchao Xu Junxiao Wang MU 72 18 0 27 Feb 2022
Membership Inference Attacks From First Principles Nicholas Carlini Steve Chien Milad Nasr Shuang Song Andreas Terzis Florian Tramèr MIACV MIALM 83 695 0 07 Dec 2021
On the Necessity of Auditable Algorithmic Definitions for Machine Unlearning Anvith Thudi Hengrui Jia Ilia Shumailov Nicolas Papernot MU 63 155 0 22 Oct 2021
Unrolling SGD: Understanding Factors Influencing Machine Unlearning Anvith Thudi Gabriel Deza Varun Chandrasekaran Nicolas Papernot MU 107 179 0 27 Sep 2021
DeepObliviate: A Powerful Charm for Erasing Data Residual Memory in Deep Neural Networks Yingzhe He Guozhu Meng Kai Chen Jinwen He Xingbo Hu MU 38 27 0 13 May 2021
Unsupervised Multi-source Domain Adaptation Without Access to Source Data Sk. Miraj Ahmed Dripta S. Raychaudhuri S. Paul Samet Oymak Amit K. Roy-Chowdhury 55 132 0 05 Apr 2021
Dynamic Weighted Learning for Unsupervised Domain Adaptation Ning Xiao Lei Zhang 42 145 0 22 Mar 2021
Remember What You Want to Forget: Algorithms for Machine Unlearning Ayush Sekhari Jayadev Acharya Gautam Kamath A. Suresh FedML MU 86 308 0 04 Mar 2021
Source-free Domain Adaptation via Distributional Alignment by Matching Batch Normalization Statistics Masato Ishii Masashi Sugiyama OOD 47 41 0 19 Jan 2021
Mixed-Privacy Forgetting in Deep Networks Aditya Golatkar Alessandro Achille Avinash Ravichandran M. Polito Stefano Soatto CLL MU 194 165 0 24 Dec 2020
Distant Domain Transfer Learning for Medical Imaging Shuteng Niu Meryl Liu Yongxin Liu Jian Wang Haoze Song OOD 70 70 0 10 Dec 2020
RIFLE: Backpropagation in Depth for Deep Transfer Learning through Re-Initializing the Fully-connected LayEr Xingjian Li Haoyi Xiong Haozhe An Chengzhong Xu Dejing Dou ODL 52 39 0 07 Jul 2020
Descent-to-Delete: Gradient-Based Methods for Machine Unlearning Seth Neel Aaron Roth Saeed Sharifi-Malvajerdi MU 70 271 0 06 Jul 2020
Sequential Domain Adaptation through Elastic Weight Consolidation for Sentiment Analysis Avinash Madasu Anvesh Rao Vijjini CLL 31 14 0 02 Jul 2020
Influence Functions in Deep Learning Are Fragile S. Basu Phillip E. Pope Soheil Feizi TDI 125 235 0 25 Jun 2020
Continuous Transfer Learning with Label-informed Distribution Alignment Jun Wu Jingrui He CLL 63 12 0 05 Jun 2020
Countering Language Drift with Seeded Iterated Learning Yuchen Lu Soumye Singhal Florian Strub Olivier Pietquin Aaron Courville 68 76 0 28 Mar 2020
Domain Adaptation by Class Centroid Matching and Local Manifold Self-Learning Lei Tian Yongqiang Tang Liangchen Hu Zhida Ren Wensheng Zhang 72 62 0 20 Mar 2020
LEEP: A New Measure to Evaluate Transferability of Learned Representations Cuong V Nguyen Tal Hassner Matthias Seeger Cédric Archambeau 77 217 0 27 Feb 2020
PrIU: A Provenance-Based Approach for Incrementally Updating Regression Models Yinjun Wu V. Tannen S. Davidson 58 37 0 26 Feb 2020
Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation Jian Liang Dapeng Hu Jiashi Feng 102 1,244 0 20 Feb 2020
Compositional Languages Emerge in a Neural Iterated Learning Model Yi Ren Shangmin Guo Matthieu Labeau Shay B. Cohen S. Kirby 133 98 0 04 Feb 2020
Universal Adversarial Perturbations for CNN Classifiers in EEG-Based BCIs Zihan Liu Lubin Meng Xiao Zhang Weili Fang Dongrui Wu AAML 46 39 0 03 Dec 2019
The relationship between trust in AI and trustworthy machine learning technologies Ehsan Toreini Mhairi Aitken Kovila P. L. Coopamootoo Karen Elliott Carlos Vladimiro Gonzalez Zelaya Aad van Moorsel FaML 55 258 0 27 Nov 2019
Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling Qian Wang T. Breckon OOD 65 216 0 18 Nov 2019
Towards Making Deep Transfer Learning Never Hurt Ruosi Wan Haoyi Xiong Xingjian Li Zhanxing Zhu Jun Huan 54 21 0 18 Nov 2019
Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Networks Aditya Golatkar Alessandro Achille Stefano Soatto CLL MU 73 495 0 12 Nov 2019
Self-training with Noisy Student improves ImageNet classification Qizhe Xie Minh-Thang Luong Eduard H. Hovy Quoc V. Le NoLa 307 2,387 0 11 Nov 2019
Certified Data Removal from Machine Learning Models Chuan Guo Tom Goldstein Awni Y. Hannun Laurens van der Maaten MU 110 446 0 08 Nov 2019
Manifold Embedded Knowledge Transfer for Brain-Computer Interfaces Wen Zhang Dongrui Wu 43 125 0 14 Oct 2019
Adaptively Sparse Transformers Gonçalo M. Correia Vlad Niculae André F. T. Martins 84 256 0 30 Aug 2019
Transferability and Hardness of Supervised Classification Tasks Anh Tran Cuong V Nguyen Tal Hassner 175 167 0 21 Aug 2019
Ease-of-Teaching and Language Structure from Emergent Communication Fushan Li Michael Bowling 167 102 0 06 Jun 2019
Adaptive Attention Span in Transformers Sainbayar Sukhbaatar Edouard Grave Piotr Bojanowski Armand Joulin 76 285 0 19 May 2019
Characterizing and Avoiding Negative Transfer Zirui Wang Zihang Dai Barnabás Póczós J. Carbonell 85 415 0 24 Nov 2018
Transfer Learning for Brain-Computer Interfaces: A Euclidean Space Data Alignment Approach He He Dongrui Wu OOD 46 308 0 08 Aug 2018
Pool-Based Sequential Active Learning for Regression Dongrui Wu 34 107 0 12 May 2018
Data-Dependent Coresets for Compressing Neural Networks with Applications to Generalization Bounds Cenk Baykal Lucas Liebenwein Igor Gilitschenski Dan Feldman Daniela Rus 71 79 0 15 Apr 2018
Detecting and Correcting for Label Shift with Black Box Predictors Zachary Chase Lipton Yu Wang Alex Smola OOD 63 554 0 12 Feb 2018
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 307 12,069 0 19 Jun 2017
Understanding Black-box Predictions via Influence Functions Pang Wei Koh Percy Liang TDI 210 2,894 0 14 Mar 2017
Concept Drift Adaptation by Exploiting Historical Knowledge Yu Sun K. Tang Zexuan Zhu Xin Yao CLL 54 118 0 12 Feb 2017
Membership Inference Attacks against Machine Learning Models Reza Shokri M. Stronati Congzheng Song Vitaly Shmatikov SLR MIALM MIACV 261 4,135 0 18 Oct 2016
Learning Transferable Features with Deep Adaptation Networks Mingsheng Long Yue Cao Jianmin Wang Michael I. Jordan OOD 220 5,199 0 10 Feb 2015
How transferable are features in deep neural networks? J. Yosinski Jeff Clune Yoshua Bengio Hod Lipson OOD 231 8,336 0 06 Nov 2014