Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss

18 June 2019

Adrien Gaidon

Papers citing "Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss"

50 / 316 papers shown

Title
CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning Yue Fan Dengxin Dai Anna Kukleva Bernt Schiele 21 44 0 08 Dec 2021
Boosting Mobile CNN Inference through Semantic Memory Yun Li Chen Zhang S. Han Li Zhang B. Yin Yunxin Liu Mengwei Xu ObjD 47 16 0 05 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 20 147 0 01 Dec 2021
Targeted Supervised Contrastive Learning for Long-Tailed Recognition Tianhong Li Peng Cao Yuan. Yuan Lijie Fan Yuzhe Yang Rogerio Feris Piotr Indyk Dina Katabi 48 176 0 27 Nov 2021
VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition Changyao Tian Wenhai Wang Xizhou Zhu Jifeng Dai Yu Qiao VLM 32 70 0 26 Nov 2021
Active Learning at the ImageNet Scale Z. Emam Hong-Min Chu Ping Yeh-Chiang W. Czaja R. Leapman Micah Goldblum Tom Goldstein 32 34 0 25 Nov 2021
Learning Representation for Clustering via Prototype Scattering and Positive Sampling Zhizhong Huang Jie Chen Junping Zhang Hongming Shan 36 88 0 23 Nov 2021
Label-Aware Distribution Calibration for Long-tailed Classification Chaozheng Wang Shuzheng Gao Cuiyun Gao Pengyun Wang Wenjie Pei Lujia Pan Zenglin Xu 36 20 0 09 Nov 2021
Towards Calibrated Model for Long-Tailed Visual Recognition from Prior Perspective Zhengzhuo Xu Zenghao Chai Chun Yuan 70 52 0 06 Nov 2021
IconQA: A New Benchmark for Abstract Diagram Understanding and Visual Language Reasoning Pan Lu Liang Qiu Jiaqi Chen Tony Xia Yizhou Zhao Wei Zhang Zhou Yu Xiaodan Liang Song-Chun Zhu AIMat 41 184 0 25 Oct 2021
ABC: Auxiliary Balanced Classifier for Class-imbalanced Semi-supervised Learning Hyuck Lee Seungjae Shin Heeyoung Kim CLL 24 90 0 20 Oct 2021
Improving Tail-Class Representation with Centroid Contrastive Learning A. M. H. Tiong Junnan Li Guosheng Lin Boyang Albert Li Caiming Xiong Guosheng Lin VLM 36 13 0 19 Oct 2021
Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning Hanzhe Hu Fangyun Wei Han Hu Qiwei Ye J. Cui Liwei Wang 28 153 0 11 Oct 2021
Self-supervised Learning is More Robust to Dataset Imbalance Hong Liu Jeff Z. HaoChen Adrien Gaidon Tengyu Ma OOD SSL 43 157 0 11 Oct 2021
Which Samples Should be Learned First: Easy or Hard? Xiaoling Zhou Ou Wu 32 17 0 11 Oct 2021
Label-Occurrence-Balanced Mixup for Long-tailed Recognition Shaoyu Zhang Chen Chen Xiujuan Zhang Silong Peng 21 7 0 11 Oct 2021
Long-tailed Distribution Adaptation Zhiliang Peng Wei Huang Zonghao Guo Xiaosong Zhang Jianbin Jiao QiXiang Ye 29 10 0 06 Oct 2021
KNN-BERT: Fine-Tuning Pre-Trained Models with KNN Classifier Linyang Li Demin Song Ruotian Ma Xipeng Qiu Xuanjing Huang 29 21 0 06 Oct 2021
Influence-Balanced Loss for Imbalanced Visual Classification Seulki Park Jongin Lim Younghan Jeon J. Choi CVBM 90 132 0 06 Oct 2021
Information-Theoretic Characterization of the Generalization Error for Iterative Semi-Supervised Learning Haiyun He Hanshu Yan Vincent Y. F. Tan 34 11 0 03 Oct 2021
Description-based Label Attention Classifier for Explainable ICD-9 Classification M. Feucht Zhiliang Wu Sophia Althammer Volker Tresp 22 18 0 24 Sep 2021
Deep Variational Clustering Framework for Self-labeling of Large-scale Medical Images Farzin Soleymani M. Eslami T. Elze B. Bischl Mina Rezaei 22 5 0 22 Sep 2021
Fairness-aware Class Imbalanced Learning Shivashankar Subramanian Afshin Rahimi Timothy Baldwin Trevor Cohn Lea Frermann FaML 109 28 0 21 Sep 2021
Self-Supervised Neural Architecture Search for Imbalanced Datasets A. Timofeev Grigorios G. Chrysos V. Cevher OOD 35 5 0 17 Sep 2021
Robust Contrastive Active Learning with Feature-guided Query Strategies R. Krishnan Nilesh A. Ahuja Alok Sinha Mahesh Subedar Omesh Tickoo Ravi Iyer 26 1 0 13 Sep 2021
Joint Debiased Representation Learning and Imbalanced Data Clustering Mina Rezaei Emilio Dorigatti David Rügamer Bernd Bischl SSL 27 3 0 11 Sep 2021
Self Supervision to Distillation for Long-Tailed Visual Recognition Tianhao Li Limin Wang Gangshan Wu 45 101 0 09 Sep 2021
Robust Attentive Deep Neural Network for Exposing GAN-generated Faces Hui Guo Shu Hu Xin Wang Ming-Ching Chang Siwei Lyu CVBM 21 34 0 05 Sep 2021
Calibrating Class Activation Maps for Long-Tailed Visual Recognition Chi Zhang Guosheng Lin Lvlong Lai Henghui Ding Qingyao Wu 29 1 0 29 Aug 2021
Robust Long-Tailed Learning under Label Noise Tong Wei Jiang-Xin Shi Wei-Wei Tu Yu-Feng Li NoLa 30 50 0 26 Aug 2021
Exploring Classification Equilibrium in Long-Tailed Object Detection Chengjian Feng Yujie Zhong Weilin Huang 26 92 0 17 Aug 2021
Imbalanced Adversarial Training with Reweighting Wentao Wang Han Xu Xiaorui Liu Yaxin Li B. Thuraisingham Jiliang Tang 37 16 0 28 Jul 2021
Learning with Multiclass AUC: Theory and Algorithms Zhiyong Yang Qianqian Xu Shilong Bao Xiaochun Cao Qingming Huang 41 67 0 28 Jul 2021
Just Train Twice: Improving Group Robustness without Training Group Information E. Liu Behzad Haghgoo Annie S. Chen Aditi Raghunathan Pang Wei Koh Shiori Sagawa Percy Liang Chelsea Finn OOD 37 540 0 19 Jul 2021
Feature Mining: A Novel Training Strategy for Convolutional Neural Network Tianshu Xie Xuan Cheng Xiaomin Wang Minghui Liu Jiali Deng Ming Liu 39 5 0 18 Jul 2021
Online Adaptation to Label Distribution Shift Ruihan Wu Chuan Guo Yi-Hsun Su Kilian Q. Weinberger 21 47 0 09 Jul 2021
Deep Extrapolation for Attribute-Enhanced Generation Alvin Chan Ali Madani Ben Krause Nikhil Naik 29 24 0 07 Jul 2021
On Bridging Generic and Personalized Federated Learning for Image Classification Hong-You Chen Wei-Lun Chao FedML 32 21 0 02 Jul 2021
Striking the Right Balance: Recall Loss for Semantic Segmentation Junjiao Tian Niluthpol Chowdhury Mithun Zachary Seymour Han-Pang Chiu Z. Kira 11 31 0 28 Jun 2021
The Hitchhiker's Guide to Prior-Shift Adaptation Tomas Sipka Milan Šulc Jirí Matas VLM 16 16 0 22 Jun 2021
Teacher's pet: understanding and mitigating biases in distillation Michal Lukasik Srinadh Bhojanapalli A. Menon Sanjiv Kumar 18 25 0 19 Jun 2021
RSG: A Simple but Effective Module for Learning Imbalanced Datasets Jianfeng Wang Thomas Lukasiewicz Xiaolin Hu Jianfei Cai Zhenghua Xu SyDa 30 84 0 18 Jun 2021
DASO: Distribution-Aware Semantics-Oriented Pseudo-label for Imbalanced Semi-Supervised Learning Youngtaek Oh Dong-Jin Kim In So Kweon 44 64 0 10 Jun 2021
PLM: Partial Label Masking for Imbalanced Multi-label Classification Kevin Duarte Yogesh S Rawat M. Shah 39 15 0 22 May 2021
Relational Subsets Knowledge Distillation for Long-tailed Retinal Diseases Recognition Lie Ju Xin Wang Lin Wang Tongliang Liu Xin Zhao Tom Drummond Dwarikanath Mahapatra Z. Ge 21 42 0 22 Apr 2021
Balanced Knowledge Distillation for Long-tailed Learning Shaoyu Zhang Chen Chen Xiyuan Hu Silong Peng 51 57 0 21 Apr 2021
Stochastic Optimization of Areas Under Precision-Recall Curves with Provable Convergence Qi Qi Youzhi Luo Zhao Xu Shuiwang Ji Tianbao Yang 18 59 0 18 Apr 2021
Adaptive Logit Adjustment Loss for Long-Tailed Visual Recognition Yan Zhao Weicong Chen Xu Tan Kai Huang Jihong Zhu 33 56 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 43 37 0 12 Apr 2021
Adversarial Robustness under Long-Tailed Distribution Tong Wu Ziwei Liu Qingqiu Huang Yu Wang Dahua Lin 26 76 0 06 Apr 2021