Long-tail learning via logit adjustment

14 July 2020

Sanjiv Kumar

Papers citing "Long-tail learning via logit adjustment"

22 / 422 papers shown

Title
Teacher's pet: understanding and mitigating biases in distillation Michal Lukasik Srinadh Bhojanapalli A. Menon Sanjiv Kumar 6 25 0 19 Jun 2021
DASO: Distribution-Aware Semantics-Oriented Pseudo-label for Imbalanced Semi-Supervised Learning Youngtaek Oh Dong-Jin Kim In So Kweon 20 62 0 10 Jun 2021
Energy Aligning for Biased Models Bowen Zhao Chen Chen Qi Ju Shutao Xia 18 1 0 07 Jun 2021
Enhancing Label Correlation Feedback in Multi-Label Text Classification via Multi-Task Learning Ximing Zhang Qian-Wen Zhang Zhao Yan Ruifang Liu Yunbo Cao 13 48 0 06 Jun 2021
Sample Selection with Uncertainty of Losses for Learning with Noisy Labels Xiaobo Xia Tongliang Liu Bo Han Mingming Gong Jun Yu Gang Niu Masashi Sugiyama NoLa 15 110 0 01 Jun 2021
The Power of Log-Sum-Exp: Sequential Density Ratio Matrix Estimation for Speed-Accuracy Optimization Taiki Miyagawa Akinori F. Ebihara 17 3 0 28 May 2021
Disentangling Sampling and Labeling Bias for Learning in Large-Output Spaces A. S. Rawat A. Menon Wittawat Jitkrittum Sadeep Jayasumana Felix X. Yu Sashank J. Reddi Sanjiv Kumar 32 9 0 12 May 2021
Less is more: Selecting informative and diverse subsets with balancing constraints Srikumar Ramalingam Daniel Glasner Kaushal Patel R. Vemulapalli Sadeep Jayasumana Sanjiv Kumar 11 6 0 26 Apr 2021
Balanced Knowledge Distillation for Long-tailed Learning Shaoyu Zhang Chen Chen Xiyuan Hu Silong Peng 35 57 0 21 Apr 2021
Adaptive Logit Adjustment Loss for Long-Tailed Visual Recognition Yan Zhao Weicong Chen Xu Tan Kai Huang Jihong Zhu 17 55 0 13 Apr 2021
Class-Balanced Distillation for Long-Tailed Visual Recognition Ahmet Iscen A. Araújo Boqing Gong Cordelia Schmid 8 36 0 12 Apr 2021
Adversarial Robustness under Long-Tailed Distribution Tong Wu Ziwei Liu Qingqiu Huang Yu Wang Dahua Lin 13 76 0 06 Apr 2021
Distilling Virtual Examples for Long-tailed Recognition Yingying He Jianxin Wu Xiu-Shen Wei 20 100 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 22 233 0 26 Mar 2021
NVUM: Non-Volatile Unbiased Memory for Robust Medical Image Classification Fengbei Liu Yuanhong Chen Yu Tian Yuyuan Liu Chong Wang Vasileios Belagiannis G. Carneiro 14 11 0 06 Mar 2021
Label-Imbalanced and Group-Sensitive Classification under Overparameterization Ganesh Ramachandra Kini Orestis Paraskevas Samet Oymak Christos Thrampoulidis 17 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 15 255 0 18 Feb 2021
Adapt-and-Adjust: Overcoming the Long-Tail Problem of Multilingual Speech Recognition Genta Indra Winata Guangsen Wang Caiming Xiong S. Hoi VLM 6 50 0 03 Dec 2020
Supercharging Imbalanced Data Learning With Energy-based Contrastive Representation Transfer Zidi Xiu Junya Chen Ricardo Henao B. Goldstein Lawrence Carin Chenyang Tao 8 10 0 25 Nov 2020
Equalization Loss for Long-Tailed Object Recognition Jingru Tan Changbao Wang Buyu Li Quanquan Li Wanli Ouyang Changqing Yin Junjie Yan 239 455 0 11 Mar 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
Range Loss for Deep Face Recognition with Long-tail Xiao Zhang Zhiyuan Fang Yandong Wen Zhifeng Li Yu Qiao CVBM 229 445 0 28 Nov 2016