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 / 249 papers shown

Title
Avoiding spurious correlations via logit correction Sheng Liu Xu Zhang Nitesh Sekhar Yue Wu Prateek Singhal C. Fernandez‐Granda 25 29 0 02 Dec 2022
Compound Batch Normalization for Long-tailed Image Classification Lechao Cheng Chaowei Fang Dingwen Zhang Guanbin Li Gang Huang 43 11 0 02 Dec 2022
High Dimensional Binary Classification under Label Shift: Phase Transition and Regularization Jiahui Cheng Minshuo Chen Hao Liu Tuo Zhao Wenjing Liao 29 0 0 01 Dec 2022
Denoising after Entropy-based Debiasing A Robust Training Method for Dataset Bias with Noisy Labels Sumyeong Ahn Se-Young Yun NoLa 26 2 0 01 Dec 2022
Malign Overfitting: Interpolation Can Provably Preclude Invariance Yoav Wald G. Yona Uri Shalit Y. Carmon 17 5 0 28 Nov 2022
Distance Metric Learning Loss Functions in Few-Shot Scenarios of Supervised Language Models Fine-Tuning Witold Sosnowski Karolina Seweryn Anna Wróblewska P. Gawrysiak 20 0 0 28 Nov 2022
A Benchmark of Long-tailed Instance Segmentation with Noisy Labels Guanlin Li Guowen Xu Tianwei Zhang NoLa ISeg 16 0 0 24 Nov 2022
Supervised Contrastive Learning on Blended Images for Long-tailed Recognition Minki Jeong Changick Kim 27 1 0 22 Nov 2022
An Embarrassingly Simple Baseline for Imbalanced Semi-Supervised Learning Haoxing Chen Yue Fan Yidong Wang Jindong Wang Bernt Schiele Xingxu Xie Marios Savvides Bhiksha Raj 29 12 0 20 Nov 2022
When Noisy Labels Meet Long Tail Dilemmas: A Representation Calibration Method Manyi Zhang Xuyang Zhao Jun Yao Chun Yuan Weiran Huang 30 20 0 20 Nov 2022
Learning from Long-Tailed Noisy Data with Sample Selection and Balanced Loss Lefan Zhang Zhang-Hao Tian Wujun Zhou W. Wang NoLa 19 2 0 20 Nov 2022
Long-tailed Food Classification Jiangpeng He Luotao Lin H. Eicher-Miller Fengqing M Zhu 30 22 0 26 Oct 2022
Towards Realistic Low-resource Relation Extraction: A Benchmark with Empirical Baseline Study Xin Xu Xiang Chen Ningyu Zhang Xin Xie Xi Chen Huajun Chen 26 10 0 19 Oct 2022
Understanding CNN Fragility When Learning With Imbalanced Data Damien Dablain Kristen N. Jacobson C. Bellinger Mark Roberts Nitesh V. Chawla 24 39 0 17 Oct 2022
TiDAL: Learning Training Dynamics for Active Learning Seong Min Kye Kwanghee Choi Hyeongmin Byun Buru Chang 31 13 0 13 Oct 2022
Fairness via Adversarial Attribute Neighbourhood Robust Learning Q. Qi Shervin Ardeshir Yi Tian Xu Tianbao Yang 40 0 0 12 Oct 2022
Language Models are Realistic Tabular Data Generators V. Borisov Kathrin Seßler Tobias Leemann Martin Pawelczyk Gjergji Kasneci LMTD 22 223 0 12 Oct 2022
SoLar: Sinkhorn Label Refinery for Imbalanced Partial-Label Learning Haobo Wang Mingxuan Xia Yixuan Li Yuren Mao Lei Feng Gang Chen J. Zhao 51 38 0 21 Sep 2022
UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup Zongbo Han Zhipeng Liang Fan Yang Liu Liu Lanqing Li Yatao Bian P. Zhao Bing Wu Changqing Zhang Jianhua Yao 53 34 0 19 Sep 2022
Importance Tempering: Group Robustness for Overparameterized Models Yiping Lu Wenlong Ji Zachary Izzo Lexing Ying 39 7 0 19 Sep 2022
Class-Level Logit Perturbation Mengyang Li Fengguang Su O. Wu Tianjin University AAML 29 3 0 13 Sep 2022
Data Augmentation by Selecting Mixed Classes Considering Distance Between Classes Shungo Fujii Yasunori Ishii Kazuki Kozuka Tsubasa Hirakawa Takayoshi Yamashita H. Fujiyoshi 37 2 0 12 Sep 2022
Inverse Image Frequency for Long-tailed Image Recognition Konstantinos Panagiotis Alexandridis Shang Luo Anh H. Nguyen Jiankang Deng S. Zafeiriou 40 9 0 11 Sep 2022
Difficulty-Net: Learning to Predict Difficulty for Long-Tailed Recognition Saptarshi Sinha Hiroki Ohashi 17 6 0 07 Sep 2022
Federated Learning with Label Distribution Skew via Logits Calibration Jie M. Zhang Zhiqi Li Bo-wen Li Jianghe Xu Shuang Wu Shouhong Ding Chao Wu FedML 10 140 0 01 Sep 2022
Towards Calibrated Hyper-Sphere Representation via Distribution Overlap Coefficient for Long-tailed Learning Hualiang Wang Siming Fu Xiaoxuan He Han Fang Zuozhu Liu Haoji Hu 30 17 0 22 Aug 2022
Cross-Domain Evaluation of a Deep Learning-Based Type Inference System Bernd Gruner Tim Sonnekalb Thomas S. Heinze C. Brust 23 2 0 19 Aug 2022
Mere Contrastive Learning for Cross-Domain Sentiment Analysis Yun Luo Fang Guo Zihan Liu Yue Zhang 31 15 0 18 Aug 2022
Open Long-Tailed Recognition in a Dynamic World Ziwei Liu Zhongqi Miao Xiaohang Zhan Jiayun Wang Boqing Gong Stella X. Yu VLM 31 18 0 17 Aug 2022
Maximising the Utility of Validation Sets for Imbalanced Noisy-label Meta-learning D. Hoang Cuong C. Nguyen Cuong Nguyen anh Belagiannis Vasileios G. Carneiro 13 2 0 17 Aug 2022
Context-aware Mixture-of-Experts for Unbiased Scene Graph Generation Liguang Zhou Yuhongze Zhou Tin Lun Lam Yangsheng Xu EDL MoE 28 2 0 15 Aug 2022
Learning to Re-weight Examples with Optimal Transport for Imbalanced Classification D. Guo Zhuo Li Meixi Zheng He Zhao Mingyuan Zhou H. Zha 32 24 0 05 Aug 2022
Class-Difficulty Based Methods for Long-Tailed Visual Recognition Saptarshi Sinha Hiroki Ohashi Katsuyuki Nakamura 13 30 0 29 Jul 2022
Imbalanced Semi-supervised Learning with Bias Adaptive Classifier Renzhen Wang Xixi Jia Quanziang Wang Yichen Wu Deyu Meng 18 16 0 28 Jul 2022
Long-tailed Instance Segmentation using Gumbel Optimized Loss Konstantinos Panagiotis Alexandridis Jiankang Deng A. Nguyen Shang Luo 27 22 0 22 Jul 2022
Estimating Model Performance under Domain Shifts with Class-Specific Confidence Scores Zeju Li Konstantinos Kamnitsas Mobarakol Islam Chen Chen Ben Glocker 27 9 0 20 Jul 2022
Invariant Feature Learning for Generalized Long-Tailed Classification Kaihua Tang Mingyuan Tao Jiaxin Qi Zhenguang Liu Hanwang Zhang VLM 24 52 0 19 Jul 2022
Balanced Contrastive Learning for Long-Tailed Visual Recognition Jianggang Zhu Z. Wang Jingjing Chen Yi-Ping Phoebe Chen Yueping Jiang 24 167 0 19 Jul 2022
Rank-based Decomposable Losses in Machine Learning: A Survey Shu Hu Xin Wang Siwei Lyu 30 32 0 18 Jul 2022
Learning Discriminative Representation via Metric Learning for Imbalanced Medical Image Classification Chenghua Zeng Huijuan Lu Kanghao Chen Ruixuan Wang Weishi Zheng 21 2 0 14 Jul 2022
Efficient Augmentation for Imbalanced Deep Learning Damien Dablain C. Bellinger Bartosz Krawczyk Nitesh V. Chawla 30 7 0 13 Jul 2022
Benchmark Dataset for Precipitation Forecasting by Post-Processing the Numerical Weather Prediction Taehyeon Kim Namgyu Ho Donggyu Kim Se-Young Yun BDL 15 6 0 30 Jun 2022
Towards Federated Long-Tailed Learning Zihan Chen Songshan Liu Hualiang Wang Howard H. Yang Tony Q. S. Quek Zuozhu Liu FedML 23 10 0 30 Jun 2022
Maximum Class Separation as Inductive Bias in One Matrix Tejaswi Kasarla Gertjan J. Burghouts Max van Spengler Elise van der Pol Rita Cucchiara Pascal Mettes 26 22 0 17 Jun 2022
Learning Imbalanced Datasets with Maximum Margin Loss Haeyong Kang Thang Vu Chang-Dong Yoo 21 18 0 11 Jun 2022
Balanced Product of Calibrated Experts for Long-Tailed Recognition Emanuel Sanchez Aimar Arvi Jonnarth M. Felsberg Marco Kuhlmann 15 22 0 10 Jun 2022
A Survey on Long-Tailed Visual Recognition Lu Yang He Jiang Q. Song Jun Guo 11 123 0 27 May 2022
Importance Weighted Structure Learning for Scene Graph Generation Daqing Liu M. Bober J. Kittler 21 5 0 14 May 2022
Optimising Equal Opportunity Fairness in Model Training Aili Shen Xudong Han Trevor Cohn Timothy Baldwin Lea Frermann FaML 23 28 0 05 May 2022
Scene Clustering Based Pseudo-labeling Strategy for Multi-modal Aerial View Object Classification Jun-chen Yu Hao Chang Keda Lu Liwen Zhang Shenshen Du Zhong Zhang 16 2 0 04 May 2022