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Simon Says: Evaluating and Mitigating Bias in Pruned Neural Networks with Knowledge Distillation
15 June 2021
Cody Blakeney
Nathaniel Huish
Yan Yan
Ziliang Zong
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Papers citing
"Simon Says: Evaluating and Mitigating Bias in Pruned Neural Networks with Knowledge Distillation"
17 / 17 papers shown
MST-KD: Multiple Specialized Teachers Knowledge Distillation for Fair Face Recognition
Eduarda Caldeira
Jaime S. Cardoso
Ana F. Sequeira
Pedro C. Neto
CVBM
325
5
0
29 Aug 2024
Contexts Matter: An Empirical Study on Contextual Influence in Fairness Testing for Deep Learning Systems
International Symposium on Empirical Software Engineering and Measurement (ESEM), 2024
Chengwen Du
Tao Chen
247
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
256
0
0
03 Jul 2024
AuthNet: Neural Network with Integrated Authentication Logic
Yuling Cai
Fan Xiang
Guozhu Meng
Yinzhi Cao
Kai Chen
AAML
350
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
274
1
0
21 Mar 2024
Disparate Impact on Group Accuracy of Linearization for Private Inference
International Conference on Machine Learning (ICML), 2024
Saswat Das
Marco Romanelli
Ferdinando Fioretto
FedML
286
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
363
20
0
18 Jan 2024
Bias in Pruned Vision Models: In-Depth Analysis and Countermeasures
Computer Vision and Pattern Recognition (CVPR), 2023
Eugenia Iofinova
Alexandra Peste
Dan Alistarh
306
14
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
261
3
0
15 Apr 2023
(Un)fair devices: Moving beyond AI accuracy in personal sensing
Sofia Yfantidou
Marios Constantinides
Dimitris Spathis
Athena Vakali
Daniele Quercia
F. Kawsar
HAI
FaML
346
22
0
27 Mar 2023
Debiased Distillation by Transplanting the Last Layer
Jiwoon Lee
Jaeho Lee
237
5
0
22 Feb 2023
Pruning's Effect on Generalization Through the Lens of Training and Regularization
Neural Information Processing Systems (NeurIPS), 2022
Tian Jin
Michael Carbin
Daniel M. Roy
Jonathan Frankle
Gintare Karolina Dziugaite
319
38
0
25 Oct 2022
FairGRAPE: Fairness-aware GRAdient Pruning mEthod for Face Attribute Classification
European Conference on Computer Vision (ECCV), 2022
Xiao-Ze Lin
Seungbae Kim
Jungseock Joo
CVBM
311
48
0
22 Jul 2022
Recall Distortion in Neural Network Pruning and the Undecayed Pruning Algorithm
Neural Information Processing Systems (NeurIPS), 2022
Aidan Good
Jia-Huei Lin
Hannah Sieg
Mikey Ferguson
Xin Yu
Shandian Zhe
J. Wieczorek
Thiago Serra
394
12
0
07 Jun 2022
Pruning has a disparate impact on model accuracy
Neural Information Processing Systems (NeurIPS), 2022
Cuong Tran
Ferdinando Fioretto
Jung-Eun Kim
Rakshit Naidu
328
49
0
26 May 2022
Data-Efficient Pretraining via Contrastive Self-Supervision
Nils Rethmeier
Isabelle Augenstein
527
22
0
02 Oct 2020
Contrastive Representation Distillation
International Conference on Learning Representations (ICLR), 2019
Yonglong Tian
Dilip Krishnan
Phillip Isola
1.6K
1,280
0
23 Oct 2019
1
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