Dynamic Curriculum Learning for Imbalanced Data Classification

21 January 2019

Papers citing "Dynamic Curriculum Learning for Imbalanced Data Classification"

50 / 89 papers shown

Title
Focal-SAM: Focal Sharpness-Aware Minimization for Long-Tailed Classification Sicong Li Qianqian Xu Zhiyong Yang Zitai Wang L. Zhang Xiaochun Cao Q. Huang 67 0 0 03 May 2025
STCL:Curriculum learning Strategies for deep learning image steganography models Fengchun Liu Tong Zhang Chunying Zhang 25 0 0 24 Apr 2025
SAR Object Detection with Self-Supervised Pretraining and Curriculum-Aware Sampling Yasin Almalioglu Andrzej Kucik Geoffrey French Dafni Antotsiou Alexander Adam Cedric Archambeau 23 0 0 17 Apr 2025
LabelCoRank: Revolutionizing Long Tail Multi-Label Classification with Co-Occurrence Reranking Yan Yan Junyuan Liu Bo Zhang 34 0 0 11 Mar 2025
Enhancing Vietnamese VQA through Curriculum Learning on Raw and Augmented Text Representations Khoi Anh Nguyen Linh Yen Vu Thang Dinh Duong Thuan Nguyen Duong Huy Thanh Nguyen V. Q. Dinh 33 3 0 05 Mar 2025
Learn2Mix: Training Neural Networks Using Adaptive Data Integration Shyam Venkatasubramanian Vahid Tarokh 81 0 0 17 Feb 2025
MambaNUT: Nighttime UAV Tracking via Mamba-based Adaptive Curriculum Learning You Wu Xiangyang Yang Xucheng Wang Hengzhou Ye Dan Zeng Shuiwang Li Mamba 96 0 0 01 Dec 2024
Improving Visual Prompt Tuning by Gaussian Neighborhood Minimization for Long-Tailed Visual Recognition Mengke Li Y. Liu Yang Lu Yiqun Zhang Yiu-ming Cheung Hui Huang VLM 33 2 0 28 Oct 2024
Exploring Curriculum Learning for Vision-Language Tasks: A Study on Small-Scale Multimodal Training Rohan Saha Abrar Fahim Alona Fyshe Alex Murphy 26 0 0 20 Oct 2024
RICASSO: Reinforced Imbalance Learning with Class-Aware Self-Supervised Outliers Exposure X. Zhang Sin Chee Chin Tingxuan Gao Wenming Yang 33 0 0 14 Oct 2024
Swift Sampler: Efficient Learning of Sampler by 10 Parameters Jiawei Yao Chuming Li Canran Xiao 18 6 0 08 Oct 2024
Training Over a Distribution of Hyperparameters for Enhanced Performance and Adaptability on Imbalanced Classification Kelsey Lieberman Swarna Kamlam Ravindran Shuai Yuan Carlo Tomasi OOD 35 0 0 04 Oct 2024
From Easy to Hard: Learning Curricular Shape-aware Features for Robust Panoptic Scene Graph Generation Hanrong Shi Lin Li Jun Xiao Yueting Zhuang Long Chen 27 2 0 12 Jul 2024
A Survey of Deep Long-Tail Classification Advancements Charika De Alvis Suranga Seneviratne 25 1 0 24 Apr 2024
Extracting Clean and Balanced Subset for Noisy Long-tailed Classification Zhuo Li He Zhao Zhen Li Tongliang Liu Dandan Guo Xiang Wan NoLa 33 1 0 10 Apr 2024
AuG-KD: Anchor-Based Mixup Generation for Out-of-Domain Knowledge Distillation Zihao Tang Zheqi Lv Shengyu Zhang Yifan Zhou Xinyu Duan Fei Wu Kun Kuang 27 1 0 11 Mar 2024
Data Distribution-based Curriculum Learning Shonal Chaudhry Anuraganand Sharma 13 1 0 12 Feb 2024
TaE: Task-aware Expandable Representation for Long Tail Class Incremental Learning Linjie Li S. Liu Zhenyu Wu JI yang CLL 37 0 0 08 Feb 2024
Optimizing for ROC Curves on Class-Imbalanced Data by Training over a Family of Loss Functions Kelsey Lieberman Shuai Yuan Swarna Kamlam Ravindran Carlo Tomasi 23 0 0 08 Feb 2024
Geometric Prior Guided Feature Representation Learning for Long-Tailed Classification Yanbiao Ma Licheng Jiao F. Liu Shuyuan Yang Xu Liu Puhua Chen 23 10 0 21 Jan 2024
Pedestrian Attribute Recognition via CLIP based Prompt Vision-Language Fusion Xiao Wang Jiandong Jin Chenglong Li Jin Tang Cheng Zhang Wei Wang VLM 15 13 0 17 Dec 2023
Data-Centric Long-Tailed Image Recognition Yanbiao Ma Licheng Jiao Fang Liu Shuyuan Yang Xu Liu Puhua Chen 35 1 0 03 Nov 2023
Fast FixMatch: Faster Semi-Supervised Learning with Curriculum Batch Size John Chen Chen Dun Anastasios Kyrillidis 13 2 0 07 Sep 2023
Robust Positive-Unlabeled Learning via Noise Negative Sample Self-correction Zhangchi Zhu Lu Wang Pu Zhao Chao Du Wei Zhang Hang Dong Bo Qiao Qingwei Lin Saravan Rajmohan Dongmei Zhang NoLa OnRL 52 6 0 01 Aug 2023
Towards Accurate Post-Training Quantization for Vision Transformer Yifu Ding Haotong Qin Qing-Yu Yan Z. Chai Junjie Liu Xiaolin K. Wei Xianglong Liu MQ 54 68 0 25 Mar 2023
Curriculum Graph Machine Learning: A Survey Haoyang Li Xin Eric Wang Wenwu Zhu 22 16 0 06 Feb 2023
Paced-Curriculum Distillation with Prediction and Label Uncertainty for Image Segmentation Mobarakol Islam Lalithkumar Seenivasan S. Sharan V. Viekash Bhavesh Gupta Ben Glocker Hongliang Ren 18 8 0 02 Feb 2023
Confidence-Aware Paced-Curriculum Learning by Label Smoothing for Surgical Scene Understanding Mengya Xu Mobarakol Islam Ben Glocker Hongliang Ren 26 1 0 22 Dec 2022
Towards Robust Handwritten Text Recognition with On-the-fly User Participation Ajoy Mondal Rohit Saluja C. V. Jawahar HAI 16 0 0 17 Dec 2022
Cross-Modal Similarity-Based Curriculum Learning for Image Captioning Hongkuan Zhang Saku Sugawara Akiko Aizawa Lei Zhou Ryohei Sasano Koichi Takeda VLM 19 4 0 14 Dec 2022
Paraphrase Identification with Deep Learning: A Review of Datasets and Methods Chao Zhou Cheng Qiu Daniel Ernesto Acuna 29 25 0 13 Dec 2022
PIDray: A Large-scale X-ray Benchmark for Real-World Prohibited Item Detection Libo Zhang Lutao Jiang Ruyi Ji Hengrui Fan 11 22 0 19 Nov 2022
A Survey of Dataset Refinement for Problems in Computer Vision Datasets Zhijing Wan Zhixiang Wang CheukTing Chung Zheng Wang 33 8 0 21 Oct 2022
G2NetPL: Generic Game-Theoretic Network for Partial-Label Image Classification R. Abdelfattah Xin Zhang M. Fouda Xiaofeng Wang Song Wang VLM 30 6 0 20 Oct 2022
CRISP: Curriculum based Sequential Neural Decoders for Polar Code Family Ashwin Hebbar Viraj Nadkarni Ashok Vardhan Makkuva S. Bhat Sewoong Oh Pramod Viswanath 16 6 0 01 Oct 2022
Difficulty-Net: Learning to Predict Difficulty for Long-Tailed Recognition Saptarshi Sinha Hiroki Ohashi 11 6 0 07 Sep 2022
Less is More: Adaptive Curriculum Learning for Thyroid Nodule Diagnosis Haifan Gong Hui Cheng Yifan Xie Shuangyi Tan Guanqi Chen Fei Chen Guanbin Li NoLa 28 6 0 02 Jul 2022
Towards Federated Long-Tailed Learning Zihan Chen Songshan Liu Hualiang Wang Howard H. Yang Tony Q. S. Quek Zuozhu Liu FedML 23 10 0 30 Jun 2022
Competence-based Multimodal Curriculum Learning for Medical Report Generation Fenglin Liu Shen Ge Yuexian Zou Xian Wu MedIm 25 131 0 24 Jun 2022
Queried Unlabeled Data Improves and Robustifies Class-Incremental Learning Tianlong Chen Sijia Liu Shiyu Chang Lisa Amini Zhangyang Wang CLL 21 4 0 15 Jun 2022
A Survey on Long-Tailed Visual Recognition Lu Yang He Jiang Q. Song Jun Guo 11 123 0 27 May 2022
Exploring the Learning Difficulty of Data Theory and Measure Weiyao Zhu Ou Wu Fengguang Su Yingjun Deng 27 5 0 16 May 2022
Detecting, Tracking and Counting Motorcycle Rider Traffic Violations on Unconstrained Roads Aman Goyal Dev Agarwal A. Subramanian C. V. Jawahar Ravi Kiran Sarvadevabhatla Rohit Saluja 16 14 0 18 Apr 2022
Few-shot Forgery Detection via Guided Adversarial Interpolation Haonan Qiu Siyu Chen Bei Gan Kunze Wang Huafeng Shi Jing Shao Ziwei Liu AAML 16 6 0 12 Apr 2022
Weakly-supervised Temporal Path Representation Learning with Contrastive Curriculum Learning -- Extended Version Sean Bin Yang Chenjuan Guo Jilin Hu B. Yang Jiangtao Tang Christian S. Jensen 23 20 0 30 Mar 2022
Unbiased Subclass Regularization for Semi-Supervised Semantic Segmentation Dayan Guan Jiaxing Huang Aoran Xiao Shijian Lu 19 42 0 18 Mar 2022
Can I see an Example? Active Learning the Long Tail of Attributes and Relations Tyler L. Hayes Maximilian Nickel Christopher Kanan Ludovic Denoyer Arthur Szlam VLM 20 3 0 11 Mar 2022
Long-Tailed Classification with Gradual Balanced Loss and Adaptive Feature Generation Zihan Zhang Xiang Xiang VLM 17 2 0 28 Feb 2022
Graph Neural Network with Curriculum Learning for Imbalanced Node Classification Xiaohe Li Lijie Wen Yawen Deng Fuli Feng Xuming Hu Lei Wang Zide Fan 24 21 0 05 Feb 2022
Contrastive Object-level Pre-training with Spatial Noise Curriculum Learning Chenhongyi Yang Lichao Huang Elliot J. Crowley SSL VLM 23 6 0 26 Nov 2021