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Predicting and Enhancing the Fairness of DNNs with the Curvature of Perceptual Manifolds

22 March 2023

Lingling Li

Shuyuan Yang

Papers citing "Predicting and Enhancing the Fairness of DNNs with the Curvature of Perceptual Manifolds"

50 / 56 papers shown

Title
Geometric Prior Guided Feature Representation Learning for Long-Tailed Classification Yanbiao Ma Licheng Jiao Fan Liu Shuyuan Yang Xu Liu Puhua Chen 66 10 0 21 Jan 2024
Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment Mengke Li Yiu-ming Cheung Yang Lu 115 99 0 19 May 2023
Class-Difficulty Based Methods for Long-Tailed Visual Recognition Saptarshi Sinha Hiroki Ohashi Katsuyuki Nakamura 116 32 0 29 Jul 2022
Long-tail Recognition via Compositional Knowledge Transfer Sarah Parisot P. Esperança Jingyu Sun T. Madarász Yongxin Yang Zhenguo Li 115 27 0 13 Dec 2021
The Majority Can Help The Minority: Context-rich Minority Oversampling for Long-tailed Classification Seulki Park Youngkyu Hong Byeongho Heo Sangdoo Yun J. Choi 119 155 0 01 Dec 2021
Towards Calibrated Model for Long-Tailed Visual Recognition from Prior Perspective Zhengzhuo Xu Zenghao Chai Chun Yuan 113 53 0 06 Nov 2021
Learning in High Dimension Always Amounts to Extrapolation Randall Balestriero J. Pesenti Yann LeCun 115 104 0 18 Oct 2021
Deep Long-Tailed Learning: A Survey Yifan Zhang Bingyi Kang Bryan Hooi Shuicheng Yan Jiashi Feng VLM 105 588 0 09 Oct 2021
Learning Fast Sample Re-weighting Without Reward Data Zizhao Zhang Tomas Pfister 71 75 0 07 Sep 2021
Learning of Visual Relations: The Devil is in the Tails Alakh Desai Tz-Ying Wu Subarna Tripathi Nuno Vasconcelos 111 90 0 22 Aug 2021
ACE: Ally Complementary Experts for Solving Long-Tailed Recognition in One-Shot Jiarui Cai Yizhou Wang Lei Li OODD 115 139 0 05 Aug 2021
Parametric Contrastive Learning Jiequan Cui Zhisheng Zhong Shu Liu Bei Yu Jiaya Jia 87 280 0 26 Jul 2021
RSG: A Simple but Effective Module for Learning Imbalanced Datasets Jianfeng Wang Thomas Lukasiewicz Xiaolin Hu Jianfei Cai Zhenghua Xu SyDa 83 87 0 18 Jun 2021
GistNet: a Geometric Structure Transfer Network for Long-Tailed Recognition Bo Liu Haoxiang Li Hao Kang G. Hua Nuno Vasconcelos CVBM 67 38 0 01 May 2021
Improving Calibration for Long-Tailed Recognition Zhisheng Zhong Jiequan Cui Shu Liu Jiaya Jia 122 301 0 01 Apr 2021
Distilling Virtual Examples for Long-tailed Recognition Yingying He Jianxin Wu Xiu-Shen Wei 82 102 0 28 Mar 2021
MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition Shuang Li Kaixiong Gong Chi Harold Liu Yulin Wang Feng Qiao Xinjing Cheng 67 154 0 23 Mar 2021
FASA: Feature Augmentation and Sampling Adaptation for Long-Tailed Instance Segmentation Yuhang Zang Chen Huang Chen Change Loy 84 115 0 25 Feb 2021
Disentangling Label Distribution for Long-tailed Visual Recognition Youngkyu Hong Seungju Han Kwanghee Choi Seokjun Seo Beomsu Kim Buru Chang 60 238 0 01 Dec 2020
Class-Wise Difficulty-Balanced Loss for Solving Class-Imbalance Saptarshi Sinha Hiroki Ohashi Katsuyuki Nakamura 41 37 0 05 Oct 2020
Long-tailed Recognition by Routing Diverse Distribution-Aware Experts Xudong Wang Long Lian Zhongqi Miao Ziwei Liu Stella X. Yu 110 390 0 05 Oct 2020
Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect Kaihua Tang Jianqiang Huang Hanwang Zhang CML 101 446 0 28 Sep 2020
Memory-based Jitter: Improving Visual Recognition on Long-tailed Data with Diversity In Memory Jialun Liu Jingwei Zhang Yi yang Wenhui Li Chi Zhang Yifan Sun 65 41 0 22 Aug 2020
Feature Space Augmentation for Long-Tailed Data Peng Chu Xiao Bian Shaopeng Liu Haibin Ling 87 241 0 09 Aug 2020
The Devil is in Classification: A Simple Framework for Long-tail Object Detection and Instance Segmentation Tao Wang Yu Li Bingyi Kang Junnan Li Jun Hao Liew Sheng Tang Guosheng Lin Jiashi Feng ISeg 93 182 0 23 Jul 2020
Balanced Meta-Softmax for Long-Tailed Visual Recognition Jiawei Ren Cunjun Yu Shunan Sheng Xiao Ma Haiyu Zhao Shuai Yi Hongsheng Li 204 572 0 21 Jul 2020
Overcoming Classifier Imbalance for Long-tail Object Detection with Balanced Group Softmax Yu Li Tao Wang Bingyi Kang Sheng Tang Chunfeng Wang Jintao Li Jiashi Feng 159 265 0 18 Jun 2020
Rethinking the Value of Labels for Improving Class-Imbalanced Learning Yuzhe Yang Zhi Xu SSL 126 409 0 13 Jun 2020
Learning to Segment the Tail Xinting Hu Yi Jiang Kaihua Tang Jingyuan Chen Chunyan Miao Hanwang Zhang VLM CLL 75 81 0 02 Apr 2020
M2m: Imbalanced Classification via Major-to-minor Translation Jaehyung Kim Jongheon Jeong Jinwoo Shin 95 224 0 01 Apr 2020
Equalization Loss for Long-Tailed Object Recognition Jingru Tan Changbao Wang Buyu Li Quanquan Li Wanli Ouyang Changqing Yin Junjie Yan 318 463 0 11 Mar 2020
Deep Representation Learning on Long-tailed Data: A Learnable Embedding Augmentation Perspective Jialun Liu Yifan Sun Chuchu Han Zhaopeng Dou Wenhui Li 74 207 0 25 Feb 2020
Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification Liuyu Xiang Guiguang Ding Jungong Han 80 285 0 06 Jan 2020
Identifying and Compensating for Feature Deviation in Imbalanced Deep Learning Han-Jia Ye Hong-You Chen De-Chuan Zhan Wei-Lun Chao 92 102 0 06 Jan 2020
Cross-Batch Memory for Embedding Learning Xun Wang H. Zhang Weilin Huang Matthew R. Scott 129 247 0 14 Dec 2019
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition Boyan Zhou Quan Cui Xiu-Shen Wei Zhao-Min Chen 291 801 0 05 Dec 2019
Decoupling Representation and Classifier for Long-Tailed Recognition Bingyi Kang Saining Xie Marcus Rohrbach Zhicheng Yan Albert Gordo Jiashi Feng Yannis Kalantidis OODD 180 1,219 0 21 Oct 2019
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss Kaidi Cao Colin Wei Adrien Gaidon Nikos Arechiga Tengyu Ma 127 1,607 0 18 Jun 2019
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features Sangdoo Yun Dongyoon Han Seong Joon Oh Sanghyuk Chun Junsuk Choe Y. Yoo OOD 620 4,780 0 13 May 2019
Class-Balanced Loss Based on Effective Number of Samples Huayu Chen Menglin Jia Nayeon Lee Yang Song Serge J. Belongie 202 2,288 0 16 Jan 2019
Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning Huayu Chen Yang Song Chen Sun Andrew G. Howard Serge J. Belongie 116 480 0 16 Jun 2018
Geometric Understanding of Deep Learning Na Lei Zhongxuan Luo S. Yau X. Gu GNN 73 145 0 26 May 2018
Adaptive Cost-sensitive Online Classification P. Zhao Yifan Zhang Min-man Wu Guosheng Lin Mingkui Tan Junzhou Huang 30 64 0 06 Apr 2018
Class Rectification Hard Mining for Imbalanced Deep Learning Qi Dong S. Gong Xiatian Zhu 59 199 0 08 Dec 2017
mixup: Beyond Empirical Risk Minimization Hongyi Zhang Moustapha Cissé Yann N. Dauphin David Lopez-Paz NoLa 280 9,797 0 25 Oct 2017
Squeeze-and-Excitation Networks Jie Hu Li Shen Samuel Albanie Gang Sun Enhua Wu 424 26,500 0 05 Sep 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 283 8,904 0 25 Aug 2017
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Zhuowen Tu Kaiming He 522 10,330 0 16 Nov 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 775 36,861 0 25 Aug 2016
Factors in Finetuning Deep Model for object detection Wanli Ouyang Xiaogang Wang Cong Zhang Xiaokang Yang 48 189 0 20 Jan 2016