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 / 238 papers shown

Title
Empowering Vision Transformers with Multi-Scale Causal Intervention for Long-Tailed Image Classification Xiaoshuo Yan Z. Li Lei Meng Zhuang Qi Wei Wu Zixuan Li X. Meng CML BDL 40 0 0 13 May 2025
Focal-SAM: Focal Sharpness-Aware Minimization for Long-Tailed Classification Sicong Li Qianqian Xu Zhiyong Yang Zitai Wang L. Zhang Xiaochun Cao Q. Huang 67 0 0 03 May 2025
Cost-Sensitive Learning for Long-Tailed Temporal Action Segmentation Zhanzhong Pang Fadime Sener Shrinivas Ramasubramanian Angela Yao 56 1 0 24 Mar 2025
Long-tailed Adversarial Training with Self-Distillation Seungju Cho Hongsin Lee Changick Kim AAML TTA 170 0 0 09 Mar 2025
Balanced Representation Learning for Long-tailed Skeleton-based Action Recognition Hongda Liu Yunlong Wang Min Ren Junxing Hu Zhengquan Luo Guangqi Hou Zhe Sun 48 0 0 24 Feb 2025
Early Stopping Against Label Noise Without Validation Data Suqin Yuan Lei Feng Tongliang Liu NoLa 96 14 0 11 Feb 2025
FairDropout: Using Example-Tied Dropout to Enhance Generalization of Minority Groups Géraldin Nanfack Eugene Belilovsky 59 0 0 10 Feb 2025
Long-tailed Medical Diagnosis with Relation-aware Representation Learning and Iterative Classifier Calibration Li Pan Yupei Zhang Qiushi Yang Tan Li Zhen Chen 49 0 0 05 Feb 2025
CSPCL: Category Semantic Prior Contrastive Learning for Deformable DETR-Based Prohibited Item Detectors Mingyuan Li Tong Jia Hui Lu Bowen Ma Hao Wang Dongyue Chen 72 0 0 28 Jan 2025
Making Reliable and Flexible Decisions in Long-tailed Classification Bolian Li Ruqi Zhang 146 0 0 23 Jan 2025
Bridging Diversity and Uncertainty in Active learning with Self-Supervised Pre-Training Paul Doucet Benjamin Estermann Till Aczél Roger Wattenhofer 150 4 0 20 Jan 2025
Towards Unbiased and Robust Spatio-Temporal Scene Graph Generation and Anticipation Rohith Peddi Saurabh Ayush Abhay Shrivastava Parag Singla Vibhav Gogate 76 0 0 20 Nov 2024
Conformal-in-the-Loop for Learning with Imbalanced Noisy Data J. B. Graham-Knight Jamil Fayyad Nourhan Bayasi Patricia Lasserre H. Najjaran 35 0 0 04 Nov 2024
Fractal Calibration for long-tailed object detection Konstantinos Panagiotis Alexandridis Ismail Elezi Jiankang Deng Anh H. Nguyen Shan Luo 117 0 0 15 Oct 2024
Distributionally robust self-supervised learning for tabular data Shantanu Ghosh Tiankang Xie Mikhail Kuznetsov OOD 19 1 0 11 Oct 2024
MONICA: Benchmarking on Long-tailed Medical Image Classification Lie Ju Siyuan Yan Yukun Zhou Yang Nan Xiaodan Xing Peibo Duan Zongyuan Ge 57 0 0 02 Oct 2024
Multiplicative Logit Adjustment Approximates Neural-Collapse-Aware Decision Boundary Adjustment Naoya Hasegawa Issei Sato 36 0 0 26 Sep 2024
VLMine: Long-Tail Data Mining with Vision Language Models Mao Ye Gregory P. Meyer Zaiwei Zhang Dennis Park Siva Karthik Mustikovela Yuning Chai Eric M. Wolff VLM 31 1 0 23 Sep 2024
When resampling/reweighting improves feature learning in imbalanced classification?: A toy-model study Tomoyuki Obuchi Toshiyuki Tanaka 46 0 0 09 Sep 2024
LoGex: Improved tail detection of extremely rare histopathology classes via guided diffusion Maximilian Mueller Matthias Hein MedIm 40 0 0 02 Sep 2024
An Embedding is Worth a Thousand Noisy Labels Francesco Di Salvo Sebastian Doerrich Ines Rieger Christian Ledig NoLa 73 0 0 26 Aug 2024
Learning from Noisy Labels for Long-tailed Data via Optimal Transport Mengting Li Chuang Zhu 34 0 0 07 Aug 2024
Effective-LDAM: An Effective Loss Function To Mitigate Data Imbalance for Robust Chest X-Ray Disease Classification S. SreeRamaVamsidhar Bhargava Satya Rama Krishna Sai Subrahmanyam Gorthi 20 1 0 06 Jul 2024
Personalized federated learning based on feature fusion Wolong Xing Zhenkui Shi Hongyan Peng Xiantao Hu Xianxian Li FedML 33 0 0 24 Jun 2024
A General Online Algorithm for Optimizing Complex Performance Metrics Wojciech Kotłowski Marek Wydmuch Erik Schultheis Rohit Babbar Krzysztof Dembczyñski 44 0 0 20 Jun 2024
SMCL: Saliency Masked Contrastive Learning for Long-tailed Recognition Sanglee Park Seung-won Hwang Jungmin So 41 0 0 04 Jun 2024
AI-Face: A Million-Scale Demographically Annotated AI-Generated Face Dataset and Fairness Benchmark Li Lin Santosh Xin Eric Wang Shu Hu Shu Hu EGVM 81 11 0 02 Jun 2024
Pursuing Feature Separation based on Neural Collapse for Out-of-Distribution Detection Yingwen Wu Ruiji Yu Xinwen Cheng Zhengbao He Xiaolin Huang OODD 72 1 0 28 May 2024
Improving Multi-label Recognition using Class Co-Occurrence Probabilities Samyak Rawlekar Shubhang Bhatnagar Vishnuvardhan Pogunulu Srinivasulu Narendra Ahuja VLM 34 5 0 24 Apr 2024
TrACT: A Training Dynamics Aware Contrastive Learning Framework for Long-tail Trajectory Prediction Junrui Zhang Mozhgan Pourkeshavarz Amir Rasouli 44 3 0 18 Apr 2024
PAT: Pixel-wise Adaptive Training for Long-tailed Segmentation Khoi Do Duong Nguyen Nguyen-Hoang Tran Viet Dung Nguyen 39 1 0 08 Apr 2024
Class Similarity Transition: Decoupling Class Similarities and Imbalance from Generalized Few-shot Segmentation Shihong Wang Ruixun Liu Kaiyu Li Jiawei Jiang Xiangyong Cao 35 2 0 08 Apr 2024
Latent-based Diffusion Model for Long-tailed Recognition Pengxiao Han Changkun Ye Jieming Zhou Jing Zhang Jie Hong Xuesong Li 45 4 0 06 Apr 2024
RoNet: Rotation-oriented Continuous Image Translation Yi Li Xinxiong Xie Lina Lei Haiyan Fu Yanqing Guo 3DH 41 0 0 06 Apr 2024
Long-Tailed Anomaly Detection with Learnable Class Names Chih-Hui Ho Kuan-Chuan Peng Nuno Vasconcelos OODD 37 6 0 29 Mar 2024
Delving into the Trajectory Long-tail Distribution for Muti-object Tracking Sijia Chen En Yu Jinyang Li Wenbing Tao DiffM 35 12 0 07 Mar 2024
SUPClust: Active Learning at the Boundaries Yuta Ono Till Aczél Benjamin Estermann Roger Wattenhofer 33 1 0 06 Mar 2024
Revisiting Confidence Estimation: Towards Reliable Failure Prediction Fei Zhu Xu-Yao Zhang Zhen Cheng Cheng-Lin Liu UQCV 49 10 0 05 Mar 2024
On the Inductive Biases of Demographic Parity-based Fair Learning Algorithms Haoyu Lei Amin Gohari Farzan Farnia FaML 29 1 0 28 Feb 2024
CLCE: An Approach to Refining Cross-Entropy and Contrastive Learning for Optimized Learning Fusion Zijun Long George Killick Lipeng Zhuang Gerardo Aragon Camarasa Zaiqiao Meng R. McCreadie VLM 39 2 0 22 Feb 2024
Reviving Undersampling for Long-Tailed Learning Hao Yu Yingxiao Du Jianxin Wu 26 1 0 30 Jan 2024
Rectify the Regression Bias in Long-Tailed Object Detection Ke Zhu Minghao Fu Jie Shao Tianyu Liu Jianxin Wu 38 2 0 29 Jan 2024
Twice Class Bias Correction for Imbalanced Semi-Supervised Learning Lan Li Bowen Tao Lu Han De-Chuan Zhan Han-jia Ye SSL 29 4 0 27 Dec 2023
An extended asymmetric sigmoid with Perceptron (SIGTRON) for imbalanced linear classification Hyenkyun Woo 15 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 82 2 0 23 Nov 2023
Better Fair than Sorry: Adversarial Missing Data Imputation for Fair GNNs Debolina Halder Lina Arlei Silva 18 0 0 02 Nov 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 23 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 38 11 0 28 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 17 1 0 18 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 32 23 0 09 Oct 2023