Class-Balanced Loss Based on Effective Number of Samples

16 January 2019

Papers citing "Class-Balanced Loss Based on Effective Number of Samples"

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Title
White Paper Assistance: A Step Forward Beyond the Shortcut Learning Xuan Cheng Tianshu Xie Xiaomin Wang Jiali Deng Minghui Liu Meilin Liu AAML 55 0 0 08 Jun 2021
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Energy Aligning for Biased Models Bowen Zhao Chen Chen Qi Ju Shutao Xia 49 1 0 07 Jun 2021
Self-Damaging Contrastive Learning Ziyu Jiang Tianlong Chen Bobak J. Mortazavi Zhangyang Wang CLL 77 71 0 06 Jun 2021
Online Coreset Selection for Rehearsal-based Continual Learning Jaehong Yoon Divyam Madaan Eunho Yang Sung Ju Hwang CLL 105 145 0 02 Jun 2021
Rethinking Re-Sampling in Imbalanced Semi-Supervised Learning Ju He Adam Kortylewski Shaokang Yang Shuai Liu Cheng Yang Changhu Wang Alan Yuille 54 25 0 01 Jun 2021
Identity and Attribute Preserving Thumbnail Upscaling Noam Gat Sagie Benaim Lior Wolf CVBM 14 2 0 30 May 2021
A Spectral-Spatial-Dependent Global Learning Framework for Insufficient and Imbalanced Hyperspectral Image Classification Qiqi Zhu Weihuan Deng Zhuo Zheng Yanfei Zhong Qingfeng Guan Weihua Lin Liangpei Zhang Deren Li 76 126 0 29 May 2021
The Power of Log-Sum-Exp: Sequential Density Ratio Matrix Estimation for Speed-Accuracy Optimization Taiki Miyagawa Akinori F. Ebihara 59 3 0 28 May 2021
Boosting-GNN: Boosting Algorithm for Graph Networks on Imbalanced Node Classification S. Shi Kai Qiao Shuai Yang Linyuan Wang Jian Chen B. Yan AI4CE 59 30 0 25 May 2021
PLM: Partial Label Masking for Imbalanced Multi-label Classification Kevin Duarte Yogesh S Rawat M. Shah 81 15 0 22 May 2021
Automated Detection of Abnormalities from an EEG Recording of Epilepsy Patients With a Compact Convolutional Neural Network Takuhei Shoji Noboru Yoshida Toshihisa Tanaka 39 27 0 21 May 2021
Drill the Cork of Information Bottleneck by Inputting the Most Important Data Xinyu Peng Jiawei Zhang Feiyue Wang Li Li 51 6 0 15 May 2021
Biometrics: Trust, but Verify Anil K. Jain Debayan Deb Joshua J. Engelsma FaML 91 84 0 14 May 2021
Disentangling Sampling and Labeling Bias for Learning in Large-Output Spaces A. S. Rawat A. Menon Wittawat Jitkrittum Sadeep Jayasumana Felix X. Yu Sashank J. Reddi Sanjiv Kumar 67 9 0 12 May 2021
VideoLT: Large-scale Long-tailed Video Recognition Xing Zhang Zuxuan Wu Zejia Weng Huazhu Fu Jingjing Chen Yu-Gang Jiang Larry S. Davis 118 42 0 06 May 2021
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Breadcrumbs: Adversarial Class-Balanced Sampling for Long-tailed Recognition Bo Liu Haoxiang Li Hao Kang G. Hua Nuno Vasconcelos 77 14 0 01 May 2021
Faster Meta Update Strategy for Noise-Robust Deep Learning Youjiang Xu Linchao Zhu Lu Jiang Yi Yang 75 51 0 30 Apr 2021
[Re] Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias Sunnie S. Y. Kim Sharon Zhang Nicole Meister Olga Russakovsky 18 2 0 28 Apr 2021
Less is more: Selecting informative and diverse subsets with balancing constraints Srikumar Ramalingam Daniel Glasner Kaushal Patel R. Vemulapalli Sadeep Jayasumana Sanjiv Kumar 60 6 0 26 Apr 2021
AttWalk: Attentive Cross-Walks for Deep Mesh Analysis Ran Ben Izhak Alon Lahav A. Tal 3DV 109 10 0 23 Apr 2021
Balanced Knowledge Distillation for Long-tailed Learning Shaoyu Zhang Chen Chen Xiyuan Hu Silong Peng 155 61 0 21 Apr 2021
Concept Drift Detection from Multi-Class Imbalanced Data Streams Lukasz Korycki Bartosz Krawczyk 45 41 0 20 Apr 2021
Stochastic Optimization of Areas Under Precision-Recall Curves with Provable Convergence Qi Qi Youzhi Luo Zhao Xu Shuiwang Ji Tianbao Yang 70 62 0 18 Apr 2021
Augmenting Deep Classifiers with Polynomial Neural Networks Grigorios G. Chrysos Markos Georgopoulos Jiankang Deng Jean Kossaifi Yannis Panagakis Anima Anandkumar 63 20 0 16 Apr 2021
Exploring Visual Engagement Signals for Representation Learning Menglin Jia Zuxuan Wu A. Reiter Claire Cardie Serge Belongie Ser-Nam Lim 82 13 0 15 Apr 2021
Do Deep Neural Networks Forget Facial Action Units? -- Exploring the Effects of Transfer Learning in Health Related Facial Expression Recognition Pooja Prajod Dominik Schiller Tobias Huber Elisabeth André CVBM 36 8 0 15 Apr 2021
DropLoss for Long-Tail Instance Segmentation Ting-I Hsieh Esther Robb Hwann-Tzong Chen Jia-Bin Huang 65 50 0 13 Apr 2021
Adaptive Logit Adjustment Loss for Long-Tailed Visual Recognition Yan Zhao Weicong Chen Xu Tan Kai Huang Jihong Zhu 79 59 0 13 Apr 2021
Image-Level or Object-Level? A Tale of Two Resampling Strategies for Long-Tailed Detection Nadine Chang Zhiding Yu Yu-Xiong Wang Anima Anandkumar Sanja Fidler J. Álvarez 138 39 0 12 Apr 2021
Intra-Class Uncertainty Loss Function for Classification He Zhu Shan Yu UQCV 64 4 0 12 Apr 2021
Class-Balanced Distillation for Long-Tailed Visual Recognition Ahmet Iscen A. Araújo Boqing Gong Cordelia Schmid 128 36 0 12 Apr 2021
Enhancing Object Detection for Autonomous Driving by Optimizing Anchor Generation and Addressing Class Imbalance Manuel Carranza-García Pedro Lara-Benítez Jorge García-Gutiérrez José Cristóbal Riquelme Santos ObjD 74 35 0 08 Apr 2021
SiamReID: Confuser Aware Siamese Tracker with Re-identification Feature A. M. N. Taufique Andreas E. Savakis Michael Braun Daniel B. Kubacki Ethan Dell Lei Qian Sean M. O’Rourke 73 3 0 08 Apr 2021
Regularizing Generative Adversarial Networks under Limited Data Hung-Yu Tseng Lu Jiang Ce Liu Ming-Hsuan Yang Weilong Yang GAN 136 145 0 07 Apr 2021
Distributional Robustness Loss for Long-tail Learning Dvir Samuel Gal Chechik OOD 115 100 0 07 Apr 2021
Adversarial Robustness under Long-Tailed Distribution Tong Wu Ziwei Liu Qingqiu Huang Yu Wang Dahua Lin 91 77 0 06 Apr 2021
Procrustean Training for Imbalanced Deep Learning Han-Jia Ye De-Chuan Zhan Wei-Lun Chao 72 31 0 05 Apr 2021
A surrogate loss function for optimization of $F_β$ score in binary classification with imbalanced data Namgil Lee Heejung Yang Hojin Yoo 47 9 0 03 Apr 2021
Adaptive Class Suppression Loss for Long-Tail Object Detection Tong Wang Yousong Zhu Chaoyang Zhao Wei Zeng Jinqiao Wang Ming Tang 73 112 0 02 Apr 2021
Improving Calibration for Long-Tailed Recognition Zhisheng Zhong Jiequan Cui Shu Liu Jiaya Jia 138 304 0 01 Apr 2021
Bipartite Graph Network with Adaptive Message Passing for Unbiased Scene Graph Generation Rongjie Li Songyang Zhang Bo Wan Xuming He 275 221 0 01 Apr 2021
Improved and efficient inter-vehicle distance estimation using road gradients of both ego and target vehicles Robik Shrestha Jinkyu Lee Kushal Kafle S. Hwang Il Yong Chun 85 1 0 01 Apr 2021
Convolutional Dynamic Alignment Networks for Interpretable Classifications Christian Stewart Mario Fritz Bernt Schiele 44 57 0 31 Mar 2021
Graph Classification by Mixture of Diverse Experts Fenyu Hu Liping Wang Shu Wu Liang Wang Tieniu Tan 126 10 0 29 Mar 2021
Understanding the role of importance weighting for deep learning Da Xu Yuting Ye Chuanwei Ruan FAtt 101 44 0 28 Mar 2021
Meta-Mining Discriminative Samples for Kinship Verification Wanhua Li Shiwei Wang Jiwen Lu Jianjiang Feng Jie Zhou 82 20 0 28 Mar 2021