Papers citing 'Simon Says: Evaluating and Mitigating Bias in Pruned Neural Networks with Knowledge Distillation'

Title
MST-KD: Multiple Specialized Teachers Knowledge Distillation for Fair Face Recognition Eduarda Caldeira Jaime S. Cardoso Ana F. Sequeira Pedro C. Neto CVBM 230 5 0 29 Aug 2024
Contexts Matter: An Empirical Study on Contextual Influence in Fairness Testing for Deep Learning SystemsInternational Symposium on Empirical Software Engineering and Measurement (ESEM), 2024 Chengwen Du Tao Chen 162 1 0 12 Aug 2024
Efficient DNN-Powered Software with Fair Sparse Models Xuanqi Gao Weipeng Jiang Juan Zhai Shiqing Ma Xiaoyu Zhang Chao Shen 185 0 0 03 Jul 2024
AuthNet: Neural Network with Integrated Authentication Logic Yuling Cai Fan Xiang Guozhu Meng Yinzhi Cao Kai Chen AAML 243 0 0 24 May 2024
Debiasing surgeon: fantastic weights and how to find them Rémi Nahon Ivan Luiz De Moura Matos Van-Tam Nguyen Enzo Tartaglione 138 1 0 21 Mar 2024
Disparate Impact on Group Accuracy of Linearization for Private InferenceInternational Conference on Machine Learning (ICML), 2024 Saswat Das Marco Romanelli Ferdinando Fioretto FedML 179 4 0 06 Feb 2024
Model Compression Techniques in Biometrics Applications: A Survey Eduarda Caldeira Pedro C. Neto Marco Huber Naser Damer Ana F. Sequeira 258 13 0 18 Jan 2024
Bias in Pruned Vision Models: In-Depth Analysis and CountermeasuresComputer Vision and Pattern Recognition (CVPR), 2023 Eugenia Iofinova Alexandra Peste Dan Alistarh 237 11 0 25 Apr 2023
Beta-Rank: A Robust Convolutional Filter Pruning Method For Imbalanced Medical Image Analysis Morteza Homayounfar M. Koohi-Moghadam Reza Rawassizadeh V. Vardhanabhuti MedIm 172 2 0 15 Apr 2023
Beyond Accuracy: A Critical Review of Fairness in Machine Learning for Mobile and Wearable Computing Sofia Yfantidou Marios Constantinides Dimitris Spathis Athena Vakali Daniele Quercia F. Kawsar HAI FaML 175 22 0 27 Mar 2023
Debiased Distillation by Transplanting the Last Layer Jiwoon Lee Jaeho Lee 111 5 0 22 Feb 2023
Pruning's Effect on Generalization Through the Lens of Training and RegularizationNeural Information Processing Systems (NeurIPS), 2022 Tian Jin Michael Carbin Daniel M. Roy Jonathan Frankle Gintare Karolina Dziugaite 204 33 0 25 Oct 2022
FairGRAPE: Fairness-aware GRAdient Pruning mEthod for Face Attribute ClassificationEuropean Conference on Computer Vision (ECCV), 2022 Xiao-Ze Lin Seungbae Kim Jungseock Joo CVBM 190 45 0 22 Jul 2022
Recall Distortion in Neural Network Pruning and the Undecayed Pruning AlgorithmNeural Information Processing Systems (NeurIPS), 2022 Aidan Good Jia-Huei Lin Hannah Sieg Mikey Ferguson Xin Yu Shandian Zhe J. Wieczorek Thiago Serra 258 12 0 07 Jun 2022
Pruning has a disparate impact on model accuracyNeural Information Processing Systems (NeurIPS), 2022 Cuong Tran Ferdinando Fioretto Jung-Eun Kim Rakshit Naidu 197 45 0 26 May 2022
Data-Efficient Pretraining via Contrastive Self-Supervision Nils Rethmeier Isabelle Augenstein 355 22 0 02 Oct 2020
Contrastive Representation DistillationInternational Conference on Learning Representations (ICLR), 2019 Yonglong Tian Dilip Krishnan Phillip Isola 1.1K 1,195 0 23 Oct 2019