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"

49 / 249 papers shown

Title
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 13 42 0 22 Apr 2021
Stochastic Optimization of Areas Under Precision-Recall Curves with Provable Convergence Qi Qi Youzhi Luo Zhao Xu Shuiwang Ji Tianbao Yang 6 58 0 18 Apr 2021
Adaptive Logit Adjustment Loss for Long-Tailed Visual Recognition Yan Zhao Weicong Chen Xu Tan Kai Huang Jihong Zhu 25 55 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 28 37 0 12 Apr 2021
Adversarial Robustness under Long-Tailed Distribution Tong Wu Ziwei Liu Qingqiu Huang Yu Wang Dahua Lin 18 76 0 06 Apr 2021
Bipartite Graph Network with Adaptive Message Passing for Unbiased Scene Graph Generation Rongjie Li Songyang Zhang Bo Wan Xuming He 185 214 0 01 Apr 2021
TransICD: Transformer Based Code-wise Attention Model for Explainable ICD Coding Biplob Biswas Thai-Hoang Pham Ping Zhang 13 29 0 28 Mar 2021
On Exposing the Challenging Long Tail in Future Prediction of Traffic Actors Osama Makansi Özgün Çiçek Yassine Marrakchi Thomas Brox 29 46 0 23 Mar 2021
Detecting Human-Object Interaction via Fabricated Compositional Learning Zhi Hou B. Yu Yu Qiao Xiaojiang Peng Dacheng Tao 33 95 0 15 Mar 2021
Label-Imbalanced and Group-Sensitive Classification under Overparameterization Ganesh Ramachandra Kini Orestis Paraskevas Samet Oymak Christos Thrampoulidis 27 93 0 02 Mar 2021
CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning Chen Wei Kihyuk Sohn Clayton Mellina Alan Yuille Fan Yang CLL 26 256 0 18 Feb 2021
Delving into Deep Imbalanced Regression Yuzhe Yang Kaiwen Zha Ying-Cong Chen Hongya Wang Dina Katabi 27 259 0 18 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 124 165 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 41 202 0 28 Jan 2021
Deep Visual Domain Adaptation G. Csurka OOD 138 185 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 19 5 0 23 Dec 2020
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation Golnaz Ghiasi Yin Cui A. Srinivas Rui Qian Tsung-Yi Lin E. D. Cubuk Quoc V. Le Barret Zoph ISeg 240 968 0 13 Dec 2020
Attentional-Biased Stochastic Gradient Descent Q. Qi Yi Tian Xu R. L. Jin W. Yin Tianbao Yang ODL 24 12 0 13 Dec 2020
Importance Weight Estimation and Generalization in Domain Adaptation under Label Shift Kamyar Azizzadenesheli OOD 26 13 0 29 Nov 2020
Distribution-aware Margin Calibration for Medical Image Segmentation Zhibin Li Litao Yu Jian Andrew Zhang 11 1 0 03 Nov 2020
Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning Beliz Gunel Jingfei Du Alexis Conneau Ves Stoyanov 15 497 0 03 Nov 2020
Coping with Label Shift via Distributionally Robust Optimisation J. Zhang A. Menon Andreas Veit Srinadh Bhojanapalli Sanjiv Kumar S. Sra OOD 21 70 0 23 Oct 2020
Posterior Re-calibration for Imbalanced Datasets Junjiao Tian Yen-Cheng Liu Nathan Glaser Yen-Chang Hsu Z. Kira 15 62 0 22 Oct 2020
Two-Stream Compare and Contrast Network for Vertebral Compression Fracture Diagnosis Shixiang Feng Beibei Liu Ya-Qin Zhang Xiaoyun Zhang Yuehua Li 12 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 19 379 0 05 Oct 2020
Variational Disentanglement for Rare Event Modeling Zidi Xiu Chenyang Tao M. Gao Connor Davis B. Goldstein Ricardo Henao CML DRL 24 6 0 17 Sep 2020
Balanced Activation for Long-tailed Visual Recognition Jiawei Ren Cunjun Yu Zhongang Cai Haiyu Zhao VLM 8 2 0 24 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
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
Balanced Meta-Softmax for Long-Tailed Visual Recognition Jiawei Ren Cunjun Yu Shunan Sheng Xiao Ma Haiyu Zhao Shuai Yi Hongsheng Li 170 549 0 21 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 17 159 0 17 Jul 2020
Long-tail learning via logit adjustment A. Menon Sadeep Jayasumana A. S. Rawat Himanshu Jain Andreas Veit Sanjiv Kumar 65 683 0 14 Jul 2020
Remix: Rebalanced Mixup Hsin-Ping Chou Shih-Chieh Chang Jia-Yu Pan Wei Wei Da-Cheng Juan 34 231 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 J. Lee Tengyu Ma 29 93 0 15 Jun 2020
Rethinking Importance Weighting for Deep Learning under Distribution Shift Tongtong Fang Nan Lu Gang Niu Masashi Sugiyama 27 133 0 08 Jun 2020
Class-Weighted Classification: Trade-offs and Robust Approaches Ziyu Xu Chen Dan Justin Khim Pradeep Ravikumar 11 39 0 26 May 2020
Rethinking of Pedestrian Attribute Recognition: Realistic Datasets with Efficient Method Jian Jia Houjing Huang Wenjie Yang Xiaotang Chen Kaiqi Huang 16 44 0 25 May 2020
An Investigation of Why Overparameterization Exacerbates Spurious Correlations Shiori Sagawa Aditi Raghunathan Pang Wei Koh Percy Liang 149 370 0 09 May 2020
M2m: Imbalanced Classification via Major-to-minor Translation Jaehyung Kim Jongheon Jeong Jinwoo Shin 13 220 0 01 Apr 2020
Apportioned Margin Approach for Cost Sensitive Large Margin Classifiers Lee-Ad Gottlieb Eran Kaufman A. Kontorovich 14 4 0 04 Feb 2020
Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification Liuyu Xiang Guiguang Ding Jungong Han 11 279 0 06 Jan 2020
Identifying and Compensating for Feature Deviation in Imbalanced Deep Learning Han-Jia Ye Hong-You Chen De-Chuan Zhan Wei-Lun Chao 24 99 0 06 Jan 2020
AutoScale: Learning to Scale for Crowd Counting and Localization Chenfeng Xu Dingkang Liang Yongchao Xu S. Bai Wei Zhan X. Bai M. Tomizuka 24 105 0 20 Dec 2019
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition Boyan Zhou Quan Cui Xiu-Shen Wei Zhao-Min Chen 250 782 0 05 Dec 2019
Decoupling Representation and Classifier for Long-Tailed Recognition Bingyi Kang Saining Xie Marcus Rohrbach Zhicheng Yan Albert Gordo Jiashi Feng Yannis Kalantidis OODD 24 1,188 0 21 Oct 2019
Improved Sample Complexities for Deep Networks and Robust Classification via an All-Layer Margin Colin Wei Tengyu Ma AAML OOD 36 85 0 09 Oct 2019
Does Learning Require Memorization? A Short Tale about a Long Tail Vitaly Feldman TDI 21 481 0 12 Jun 2019
Learning Adaptive Classifiers Synthesis for Generalized Few-Shot Learning Han-Jia Ye Hexiang Hu De-Chuan Zhan 17 59 0 07 Jun 2019