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
An extended asymmetric sigmoid with Perceptron (SIGTRON) for imbalanced linear classification Hyenkyun Woo 20 0 0 26 Dec 2023
Class Uncertainty: A Measure to Mitigate Class Imbalance Z. S. Baltaci K. Oksuz S. Kuzucu K. Tezoren B. K. Konar A. Ozkan Emre Akbas Sinan Kalkan 87 2 0 23 Nov 2023
Better Fair than Sorry: Adversarial Missing Data Imputation for Fair GNNs Debolina Halder Lina Arlei Silva 31 0 0 02 Nov 2023
Long-Tailed Learning as Multi-Objective Optimization Weiqi Li Fan Lyu Fanhua Shang Liang Wan Wei Feng 29 4 0 31 Oct 2023
Uncertainty-guided Boundary Learning for Imbalanced Social Event Detection Jiaqian Ren Hao Peng Lei Jiang Zhiwei Liu Jia Wu Zhengtao Yu Phillp S. Yu 33 13 0 30 Oct 2023
Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition Divin Yan Gengchen Wei Chen Yang Shengzhong Zhang Zengfeng Huang AI4CE 51 11 0 28 Oct 2023
Combating Representation Learning Disparity with Geometric Harmonization Zhihan Zhou Jiangchao Yao Feng Hong Ya Zhang Bo Han Yanfeng Wang 38 12 0 26 Oct 2023
DASA: Difficulty-Aware Semantic Augmentation for Speaker Verification Yuanyuan Wang Yang Zhang Zhiyong Wu Zhihan Yang Tao Wei Kun Zou Helen M. Meng 25 1 0 18 Oct 2023
Fed-GraB: Federated Long-tailed Learning with Self-Adjusting Gradient Balancer Zikai Xiao Zihan Chen Songshan Liu Hualiang Wang Yang Feng Jinxiang Hao Qiufeng Wang Jian Wu Howard H. Yang Zuo-Qiang Liu FedML 37 10 0 11 Oct 2023
Generalized Neural Collapse for a Large Number of Classes Jiachen Jiang Jinxin Zhou Peng Wang Qing Qu Dustin Mixon Chong You Zhihui Zhu AI4CE 39 25 0 09 Oct 2023
Dual Compensation Residual Networks for Class Imbalanced Learning Rui Hou Hong Chang Bingpeng Ma Shiguang Shan Xilin Chen 30 5 0 25 Aug 2023
Effect of Choosing Loss Function when Using T-batching for Representation Learning on Dynamic Networks Erfan Loghmani MohammadAmin Fazli 18 4 0 13 Aug 2023
Local-Global Information Interaction Debiasing for Dynamic Scene Graph Generation Xinyu Lyu Jingwei Liu Yuyu Guo Lianli Gao 29 1 0 10 Aug 2023
Novel Class Discovery for Long-tailed Recognition Zhang Chuyu Rui Xu Xuming He 35 16 0 06 Aug 2023
RAHNet: Retrieval Augmented Hybrid Network for Long-tailed Graph Classification Zhengyan Mao Wei Ju Yifang Qin Xiao Luo Ming Zhang 39 16 0 04 Aug 2023
Neural Collapse Terminus: A Unified Solution for Class Incremental Learning and Its Variants Yibo Yang Haobo Yuan Hefei Ling Jianlong Wu Lefei Zhang Zhouchen Lin Philip Torr Dacheng Tao Guohao Li CLL 33 8 0 03 Aug 2023
Federated Model Aggregation via Self-Supervised Priors for Highly Imbalanced Medical Image Classification Marawan Elbatel Hualiang Wang Robert Martí Huazhu Fu Xuelong Li FedML 45 8 0 27 Jul 2023
Omnipotent Adversarial Training in the Wild Guanlin Li Kangjie Chen Yuan Xu Han Qiu Tianwei Zhang 29 0 0 14 Jul 2023
AnuraSet: A dataset for benchmarking Neotropical anuran calls identification in passive acoustic monitoring Juan Sebastián Canas Maria Paula Toro-Gómez L. S. M. Sugai H. Benítez-Restrepo J. Rudas ... José Luiz Massao Moreira Sugai Carolina Emília dos Santos R. Bastos Diego Llusia J. Ulloa 41 18 0 11 Jul 2023
Long-Tailed Continual Learning For Visual Food Recognition Jiangpeng He Luotao Lin Jack Ma H. Eicher-Miller F. Zhu Fengqing M Zhu 64 14 0 01 Jul 2023
Can Continual Learning Improve Long-Tailed Recognition? Toward a Unified Framework Mahdiyar Molahasani Michael A. Greenspan Ali Etemad 24 2 0 23 Jun 2023
Enlarged Large Margin Loss for Imbalanced Classification S. Kato Kazuhiro Hotta 36 1 0 15 Jun 2023
Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability Jianing Zhu Hengzhuang Li Jiangchao Yao Tongliang Liu Jianliang Xu Bo Han OODD 48 12 0 06 Jun 2023
Beyond Confidence: Reliable Models Should Also Consider Atypicality Mert Yuksekgonul Linjun Zhang James Zou Carlos Guestrin 32 20 0 29 May 2023
FoPro-KD: Fourier Prompted Effective Knowledge Distillation for Long-Tailed Medical Image Recognition Marawan Elbatel Robert Martí Xuelong Li AAML 44 10 0 27 May 2023
Decoupled Kullback-Leibler Divergence Loss Jiequan Cui Zhuotao Tian Zhisheng Zhong Xiaojuan Qi Bei Yu Hanwang Zhang 39 38 0 23 May 2023
Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment Mengke Li Yiu-ming Cheung Yang Lu 30 90 0 19 May 2023
Feature-Balanced Loss for Long-Tailed Visual Recognition Mengke Li Y. Cheung Juyong Jiang CVBM 37 13 0 18 May 2023
NoisywikiHow: A Benchmark for Learning with Real-world Noisy Labels in Natural Language Processing Tingting Wu Xiao Ding Minji Tang Haotian Zhang Bing Qin Ting Liu NoLa 36 10 0 18 May 2023
Imbalanced Aircraft Data Anomaly Detection Hao Yang Junyuan Gao Yuan. Yuan Xuelong Li AI4TS 19 4 0 17 May 2023
Deep Visual-Genetic Biometrics for Taxonomic Classification of Rare Species Tayfun Karaderi T. Burghardt R. Morard D. Schmidt 40 1 0 11 May 2023
LMPT: Prompt Tuning with Class-Specific Embedding Loss for Long-tailed Multi-Label Visual Recognition Peng Xia Di Xu Ming Hu Lie Ju Zongyuan Ge VLM 37 11 0 08 May 2023
FCA: Taming Long-tailed Federated Medical Image Classification by Classifier Anchoring Jeffry Wicaksana Zengqiang Yan Kwang-Ting Cheng FedML 48 5 0 01 May 2023
Transfer Knowledge from Head to Tail: Uncertainty Calibration under Long-tailed Distribution Jiahao Chen Bingyue Su 32 11 0 13 Apr 2023
Reliable learning in challenging environments Maria-Florina Balcan Steve Hanneke Rattana Pukdee Dravyansh Sharma OOD 30 4 0 06 Apr 2023
Exploring Vision-Language Models for Imbalanced Learning Yidong Wang Zhuohao Yu Jindong Wang Qiang Heng Haoxing Chen Wei Ye Rui Xie Xingxu Xie Shi-Bo Zhang VLM 46 30 0 04 Apr 2023
Predicting and Enhancing the Fairness of DNNs with the Curvature of Perceptual Manifolds Yanbiao Ma Licheng Jiao F. Liu Maoji Wen Lingling Li Wenping Ma Shuyuan Yang Xu Liu Puhua Chen 40 5 0 22 Mar 2023
A Survey on Class Imbalance in Federated Learning Jing Zhang Chuanwen Li Jianzgong Qi Jiayuan He FedML 47 13 0 21 Mar 2023
Equiangular Basis Vectors Yang Shen Xuhao Sun Xiuying Wei 41 7 0 21 Mar 2023
TempT: Temporal consistency for Test-time adaptation O. Mutlu Mohammadmahdi Honarmand Saimourya Surabhi Dennis Paul Wall 35 6 0 19 Mar 2023
General Loss Functions Lead to (Approximate) Interpolation in High Dimensions Kuo-Wei Lai Vidya Muthukumar 34 5 0 13 Mar 2023
InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised Learning Zhuliang Yu Yin Li Yong Jae Lee 27 10 0 13 Mar 2023
Generalizing and Decoupling Neural Collapse via Hyperspherical Uniformity Gap Weiyang Liu L. Yu Adrian Weller Bernhard Schölkopf 37 18 0 11 Mar 2023
Pseudo Labels Regularization for Imbalanced Partial-Label Learning Mingyu Xu Zheng Lian 28 1 0 06 Mar 2023
GraphSR: A Data Augmentation Algorithm for Imbalanced Node Classification Mengting Zhou Zhiguo Gong 16 20 0 24 Feb 2023
A Log-linear Gradient Descent Algorithm for Unbalanced Binary Classification using the All Pairs Squared Hinge Loss Kyle R. Rust T. Hocking 32 1 0 21 Feb 2023
CUDA: Curriculum of Data Augmentation for Long-Tailed Recognition Sumyeong Ahn Jongwoo Ko Se-Young Yun 43 30 0 10 Feb 2023
Delving Deep into Simplicity Bias for Long-Tailed Image Recognition Xiu-Shen Wei Xuhao Sun Yang Shen Anqi Xu Peng Wang Faen Zhang 38 1 0 07 Feb 2023
SCCAM: Supervised Contrastive Convolutional Attention Mechanism for Ante-hoc Interpretable Fault Diagnosis with Limited Fault Samples Mengxuan Li Peng Peng Jingxin Zhang Hongwei Wang Weiming Shen 30 17 0 03 Feb 2023
Learning Prototype Classifiers for Long-Tailed Recognition Saurabh Sharma Yongqin Xian Ning Yu Ambuj K. Singh 43 13 0 01 Feb 2023