Dynamic Curriculum Learning for Imbalanced Data Classification

21 January 2019

Papers citing "Dynamic Curriculum Learning for Imbalanced Data Classification"

39 / 89 papers shown

Title
Hierarchical Knowledge Guided Learning for Real-world Retinal Diseases Recognition Lie Ju Zhen Yu Lin Wang Xin Zhao Xin Wang Paul Bonnington Z. Ge 13 14 0 17 Nov 2021
Medical Knowledge-Guided Deep Curriculum Learning for Elbow Fracture Diagnosis from X-Ray Images Jun Luo G. Kitamura Emine Doganay Dooman Arefan Shandong Wu MedIm 17 11 0 20 Oct 2021
Tackling the Imbalance for GNNs Rui Wang Weixuan Xiong Qing-Hu Hou Ou Wu 44 6 0 17 Oct 2021
Adapt to Adaptation: Learning Personalization for Cross-Silo Federated Learning Jun-Jie Luo Shandong Wu OOD MQ 60 75 0 15 Oct 2021
Deep Long-Tailed Learning: A Survey Yifan Zhang Bingyi Kang Bryan Hooi Shuicheng Yan Jiashi Feng VLM 18 558 0 09 Oct 2021
Learning to Predict Trustworthiness with Steep Slope Loss Yan Luo Yongkang Wong Mohan S. Kankanhalli Qi Zhao 11 12 0 30 Sep 2021
Distribution-sensitive Information Retention for Accurate Binary Neural Network Haotong Qin Xiangguo Zhang Ruihao Gong Yifu Ding Yi Xu Xianglong Liu MQ 11 84 0 25 Sep 2021
Robust Attentive Deep Neural Network for Exposing GAN-generated Faces Hui Guo Shu Hu Xin Wang Ming-Ching Chang Siwei Lyu CVBM 19 34 0 05 Sep 2021
Spatial Transformer Networks for Curriculum Learning Fatemeh Azimi Jean-Francois Nies Sebastián M. Palacio Federico Raue Jörn Hees Andreas Dengel 16 2 0 22 Aug 2021
A Linkage-based Doubly Imbalanced Graph Learning Framework for Face Clustering Huafeng Yang Qijie Shen Xingjian Chen Fangyi Zhang R. Du CVBM 17 0 0 06 Jul 2021
Gradual Domain Adaptation in the Wild:When Intermediate Distributions are Absent Samira Abnar Rianne van den Berg Golnaz Ghiasi Mostafa Dehghani Nal Kalchbrenner Hanie Sedghi OOD CLL TTA 18 20 0 10 Jun 2021
Improving Facial Attribute Recognition by Group and Graph Learning Zhenghao Chen Shuhang Gu Feng Zhu Jing Xu Rui Zhao CVBM 14 9 0 28 May 2021
AutoSampling: Search for Effective Data Sampling Schedules Ming-hui Sun Hao Dou Baopu Li Lei Cui Junjie Yan Wanli Ouyang 26 6 0 28 May 2021
Distributional Robustness Loss for Long-tail Learning Dvir Samuel Gal Chechik OOD 23 99 0 07 Apr 2021
Procrustean Training for Imbalanced Deep Learning Han-Jia Ye De-Chuan Zhan Wei-Lun Chao 10 31 0 05 Apr 2021
Self-Distribution Binary Neural Networks Ping Xue Yang Lu Jingfei Chang Xing Wei Zhen Wei MQ 19 10 0 03 Mar 2021
Diversifying Sample Generation for Accurate Data-Free Quantization Xiangguo Zhang Haotong Qin Yifu Ding Ruihao Gong Qing Yan Renshuai Tao Yuhang Li F. Yu Xianglong Liu MQ 54 94 0 01 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
Curriculum Learning: A Survey Petru Soviany Radu Tudor Ionescu Paolo Rota N. Sebe ODL 65 338 0 25 Jan 2021
When Do Curricula Work? Xiaoxia Wu Ethan Dyer Behnam Neyshabur 25 113 0 05 Dec 2020
Dynamic Curriculum Learning for Low-Resource Neural Machine Translation Chen Xu Bojie Hu Yufan Jiang Kai Feng Zeyang Wang Shen Huang Qi Ju Tong Xiao Jingbo Zhu 15 22 0 30 Nov 2020
A Survey on Curriculum Learning Xin Eric Wang Yudong Chen Wenwu Zhu SyDa 19 22 0 25 Oct 2020
Constrained Model-based Reinforcement Learning with Robust Cross-Entropy Method Zuxin Liu Hongyi Zhou Baiming Chen Sicheng Zhong M. Hebert Ding Zhao 6 11 0 15 Oct 2020
BiPointNet: Binary Neural Network for Point Clouds Haotong Qin Zhongang Cai Mingyuan Zhang Yifu Ding Haiyu Zhao Shuai Yi Xianglong Liu Hao Su 3DPC 22 50 0 12 Oct 2020
Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect Kaihua Tang Jianqiang Huang Hanwang Zhang CML 9 434 0 28 Sep 2020
Curriculum Learning with Diversity for Supervised Computer Vision Tasks Petru Soviany 6 10 0 22 Sep 2020
$Curriculum learning for improved femur fracture classification: scheduling data with prior knowledge and uncertainty$ Curriculum learning for improved femur fracture classification: scheduling data with prior knowledge and uncertainty Amelia Jiménez-Sánchez Diana Mateus S. Kirchhoff C. Kirchhoff P. Biberthaler Nassir Navab M. A. G. Ballester Gemma Piella 6 18 0 31 Jul 2020
Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search Yong Guo Yaofo Chen Yin Zheng P. Zhao Jian Chen Junzhou Huang Mingkui Tan 16 66 0 07 Jul 2020
Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization Kaidi Cao Yining Chen Junwei Lu Nikos Arechiga Adrien Gaidon Tengyu Ma 12 67 0 29 Jun 2020
Hierarchical Feature Embedding for Attribute Recognition Jie Yang Jiarou Fan Yiru Wang Yige Wang Weihao Gan Lin Liu Wei Wu CVBM 14 42 0 23 May 2020
Minority Oversampling for Imbalanced Time Series Classification Tuanfei Zhu Cheng Luo Jing Li Siqi Ren Yifu Zeng AI4TS 9 17 0 14 Apr 2020
Medical-based Deep Curriculum Learning for Improved Fracture Classification Amelia Jiménez-Sánchez Diana Mateus S. Kirchhoff C. Kirchhoff P. Biberthaler Nassir Navab M. A. G. Ballester Gemma Piella 6 48 0 01 Apr 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
Towards Unified INT8 Training for Convolutional Neural Network Feng Zhu Ruihao Gong F. Yu Xianglong Liu Yanfei Wang Zhelong Li Xiuqi Yang Junjie Yan MQ 27 151 0 29 Dec 2019
To Balance or Not to Balance: A Simple-yet-Effective Approach for Learning with Long-Tailed Distributions Junjie Zhang Lingqiao Liu Peng Wang Chunhua Shen 11 25 0 10 Dec 2019
Distraction-Aware Feature Learning for Human Attribute Recognition via Coarse-to-Fine Attention Mechanism Mingda Wu Di Huang Yuanfang Guo Yunhong Wang CVBM 11 31 0 26 Nov 2019
Forward and Backward Information Retention for Accurate Binary Neural Networks Haotong Qin Ruihao Gong Xianglong Liu Mingzhu Shen Ziran Wei F. Yu Jingkuan Song MQ 117 324 0 24 Sep 2019
Data Augmentation for Object Detection via Progressive and Selective Instance-Switching Hao Wang Qilong Wang Fan Yang Weiqi Zhang W. Zuo 8 62 0 02 Jun 2019
Discriminative Ridge Machine: A Classifier for High-Dimensional Data or Imbalanced Data Chong Peng Q. Cheng 21 61 0 16 Apr 2019