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
Procrustean Training for Imbalanced Deep Learning Han-Jia Ye De-Chuan Zhan Wei-Lun Chao 29 31 0 05 Apr 2021
Improving Calibration for Long-Tailed Recognition Zhisheng Zhong Jiequan Cui Shu Liu Jiaya Jia 27 288 0 01 Apr 2021
Bipartite Graph Network with Adaptive Message Passing for Unbiased Scene Graph Generation Rongjie Li Songyang Zhang Bo Wan Xuming He 196 214 0 01 Apr 2021
Graph Classification by Mixture of Diverse Experts Fenyu Hu Liping Wang Shu Wu Liang Wang Tieniu Tan 42 10 0 29 Mar 2021
TransICD: Transformer Based Code-wise Attention Model for Explainable ICD Coding Biplob Biswas Thai-Hoang Pham Ping Zhang 21 29 0 28 Mar 2021
Contrastive Learning based Hybrid Networks for Long-Tailed Image Classification Peng Wang Kai Han Xiu-Shen Wei Lei Zhang Lei Wang SSL 35 233 0 26 Mar 2021
On Exposing the Challenging Long Tail in Future Prediction of Traffic Actors Osama Makansi Özgün Çiçek Yassine Marrakchi Thomas Brox 31 46 0 23 Mar 2021
Detecting Human-Object Interaction via Fabricated Compositional Learning Zhi Hou B. Yu Yu Qiao Xiaojiang Peng Dacheng Tao 38 96 0 15 Mar 2021
Label-Imbalanced and Group-Sensitive Classification under Overparameterization Ganesh Ramachandra Kini Orestis Paraskevas Samet Oymak Christos Thrampoulidis 36 94 0 02 Mar 2021
Analyzing Overfitting under Class Imbalance in Neural Networks for Image Segmentation Zeju Li Konstantinos Kamnitsas Ben Glocker SSeg UQCV 20 127 0 20 Feb 2021
CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning Chen Wei Kihyuk Sohn Clayton Mellina Alan Yuille Fan Yang CLL 40 257 0 18 Feb 2021
Delving into Deep Imbalanced Regression Yuzhe Yang Kaiwen Zha Ying-Cong Chen Hongya Wang Dina Katabi 37 259 0 18 Feb 2021
Open-World Semi-Supervised Learning Kaidi Cao Maria Brbic J. Leskovec BDL 30 178 0 06 Feb 2021
Exploring Deep Neural Networks via Layer-Peeled Model: Minority Collapse in Imbalanced Training Cong Fang Hangfeng He Qi Long Weijie J. Su FAtt 132 168 0 29 Jan 2021
BENDR: using transformers and a contrastive self-supervised learning task to learn from massive amounts of EEG data Demetres Kostas Stephane Aroca-Ouellette Frank Rudzicz SSL 54 203 0 28 Jan 2021
Deep Visual Domain Adaptation G. Csurka OOD 144 185 0 28 Dec 2020
Towards Overcoming False Positives in Visual Relationship Detection Daisheng Jin Xiao Ma Chongzhi Zhang Yizhuo Zhou Jiashu Tao ... Haiyu Zhao Shuai Yi Zhoujun Li Xianglong Liu Hongsheng Li 25 5 0 23 Dec 2020
Equalization Loss v2: A New Gradient Balance Approach for Long-tailed Object Detection Jingru Tan Xin Lu Gang Zhang Changqing Yin Quanquan Li VLM 27 167 0 15 Dec 2020
WILDS: A Benchmark of in-the-Wild Distribution Shifts Pang Wei Koh Shiori Sagawa Henrik Marklund Sang Michael Xie Marvin Zhang ... A. Kundaje Emma Pierson Sergey Levine Chelsea Finn Percy Liang OOD 106 1,386 0 14 Dec 2020
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation Golnaz Ghiasi Huayu Chen A. Srinivas Rui Qian Nayeon Lee E. D. Cubuk Quoc V. Le Barret Zoph ISeg 252 971 0 13 Dec 2020
Attentional-Biased Stochastic Gradient Descent Q. Qi Yi Tian Xu Rong Jin W. Yin Tianbao Yang ODL 31 12 0 13 Dec 2020
Importance Weight Estimation and Generalization in Domain Adaptation under Label Shift Kamyar Azizzadenesheli OOD 29 13 0 29 Nov 2020
A Large-Scale Database for Graph Representation Learning Scott Freitas Yuxiao Dong Joshua Neil Duen Horng Chau PINN GNN 32 57 0 16 Nov 2020
Distribution-aware Margin Calibration for Medical Image Segmentation Zhibin Li Litao Yu Jian Zhang 19 1 0 03 Nov 2020
Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning Beliz Gunel Jingfei Du Alexis Conneau Ves Stoyanov 18 499 0 03 Nov 2020
Robustness May Be at Odds with Fairness: An Empirical Study on Class-wise Accuracy Philipp Benz Chaoning Zhang Adil Karjauv In So Kweon AAML 24 57 0 26 Oct 2020
Coping with Label Shift via Distributionally Robust Optimisation Jiaming Zhang A. Menon Andreas Veit Srinadh Bhojanapalli Sanjiv Kumar S. Sra OOD 24 70 0 23 Oct 2020
Posterior Re-calibration for Imbalanced Datasets Junjiao Tian Yen-Cheng Liu Nathan Glaser Yen-Chang Hsu Z. Kira 21 62 0 22 Oct 2020
CLAR: Contrastive Learning of Auditory Representations Haider Al-Tahan Y. Mohsenzadeh SSL 125 56 0 19 Oct 2020
Two-Stream Compare and Contrast Network for Vertebral Compression Fracture Diagnosis Shixiang Feng Beibei Liu Ya Zhang Xiaoyun Zhang Yuehua Li 17 10 0 13 Oct 2020
Long-tailed Recognition by Routing Diverse Distribution-Aware Experts Xudong Wang Long Lian Zhongqi Miao Ziwei Liu Stella X. Yu 36 380 0 05 Oct 2020
Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect Kaihua Tang Jianqiang Huang Hanwang Zhang CML 25 438 0 28 Sep 2020
Variational Disentanglement for Rare Event Modeling Zidi Xiu Chenyang Tao M. Gao Connor Davis B. Goldstein Ricardo Henao CML DRL 32 6 0 17 Sep 2020
Background Splitting: Finding Rare Classes in a Sea of Background Ravi Teja Mullapudi Fait Poms W. Mark Deva Ramanan Kayvon Fatahalian VLM 37 9 0 28 Aug 2020
Balanced Activation for Long-tailed Visual Recognition Jiawei Ren Cunjun Yu Zhongang Cai Haiyu Zhao VLM 10 2 0 24 Aug 2020
Memory-based Jitter: Improving Visual Recognition on Long-tailed Data with Diversity In Memory Jialun Liu Jingwei Zhang Yi yang Wenhui Li Chi Zhang Yifan Sun 28 39 0 22 Aug 2020
Tackling the Unannotated: Scene Graph Generation with Bias-Reduced Models T. Wang Selen Pehlivan Jorma T. Laaksonen 29 34 0 18 Aug 2020
Forest R-CNN: Large-Vocabulary Long-Tailed Object Detection and Instance Segmentation Jialian Wu Liangchen Song Tiancai Wang Qian Zhang Junsong Yuan ObjD 24 72 0 13 Aug 2020
Meta Feature Modulator for Long-tailed Recognition Renzhen Wang Kaiqin Hu Yanwen Zhu Jun Shu Qian Zhao Deyu Meng 16 12 0 08 Aug 2020
The Devil is in Classification: A Simple Framework for Long-tail Object Detection and Instance Segmentation Tao Wang Yu Li Bingyi Kang Junnan Li Jun Hao Liew Sheng Tang Guosheng Lin Jiashi Feng ISeg 19 176 0 23 Jul 2020
Balanced Meta-Softmax for Long-Tailed Visual Recognition Jiawei Ren Cunjun Yu Shunan Sheng Xiao Ma Haiyu Zhao Shuai Yi Hongsheng Li 170 552 0 21 Jul 2020
Solving Long-tailed Recognition with Deep Realistic Taxonomic Classifier Tz-Ying Wu Pedro Morgado Pei Wang Chih-Hui Ho Nuno Vasconcelos 13 45 0 20 Jul 2020
Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets Tong Wu Qingqiu Huang Ziwei Liu Yu Wang Dahua Lin 22 228 0 19 Jul 2020
Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning Jaehyung Kim Youngbum Hur Sejun Park Eunho Yang Sung Ju Hwang Jinwoo Shin 17 160 0 17 Jul 2020
Long-tail learning via logit adjustment A. Menon Sadeep Jayasumana A. S. Rawat Himanshu Jain Andreas Veit Sanjiv Kumar 65 688 0 14 Jul 2020
Remix: Rebalanced Mixup Hsin-Ping Chou Shih-Chieh Chang Jia-Yu Pan Wei Wei Da-Cheng Juan 38 232 0 08 Jul 2020
Overcoming Classifier Imbalance for Long-tail Object Detection with Balanced Group Softmax Yu Li Tao Wang Bingyi Kang Sheng Tang Chunfeng Wang Jintao Li Jiashi Feng 33 262 0 18 Jun 2020
Shape Matters: Understanding the Implicit Bias of the Noise Covariance Jeff Z. HaoChen Colin Wei Jason D. Lee Tengyu Ma 32 94 0 15 Jun 2020
Rethinking the Value of Labels for Improving Class-Imbalanced Learning Yuzhe Yang Zhi Xu SSL 20 402 0 13 Jun 2020
Rethinking Importance Weighting for Deep Learning under Distribution Shift Tongtong Fang Nan Lu Gang Niu Masashi Sugiyama 33 137 0 08 Jun 2020