Rethinking the Value of Labels for Improving Class-Imbalanced Learning

13 June 2020

Papers citing "Rethinking the Value of Labels for Improving Class-Imbalanced Learning"

11 / 61 papers shown

Title
Balanced Knowledge Distillation for Long-tailed Learning Shaoyu Zhang Chen Chen Xiyuan Hu Silong Peng 43 57 0 21 Apr 2021
Self-Supervised Graph Neural Networks for Improved Electroencephalographic Seizure Analysis Siyi Tang Jared A. Dunnmon Khaled Kamal Saab Xuan Zhang Qianying Huang Florian Dubost D. Rubin Christopher Lee-Messer 30 96 0 16 Apr 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
Self-supervised Mean Teacher for Semi-supervised Chest X-ray Classification Fengbei Liu Yu Tian F. Cordeiro Vasileios Belagiannis Ian Reid G. Carneiro 23 42 0 05 Mar 2021
Self-Supervised Learning of Graph Neural Networks: A Unified Review Yaochen Xie Zhao Xu Jingtun Zhang Zhengyang Wang Shuiwang Ji SSL 33 324 0 22 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 31 256 0 18 Feb 2021
Delving into Deep Imbalanced Regression Yuzhe Yang Kaiwen Zha Ying-Cong Chen Hongya Wang Dina Katabi 35 259 0 18 Feb 2021
Towards Resolving the Challenge of Long-tail Distribution in UAV Images for Object Detection Weiping Yu Taojiannan Yang Cheng Chen 25 90 0 07 Nov 2020
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition Boyan Zhou Quan Cui Xiu-Shen Wei Zhao-Min Chen 253 782 0 05 Dec 2019
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results Antti Tarvainen Harri Valpola OOD MoMe 261 1,275 0 06 Mar 2017
Range Loss for Deep Face Recognition with Long-tail Xiao Zhang Zhiyuan Fang Yandong Wen Zhifeng Li Yu Qiao CVBM 237 446 0 28 Nov 2016