Class-Balanced Loss Based on Effective Number of Samples

16 January 2019

Papers citing "Class-Balanced Loss Based on Effective Number of Samples"

50 / 1,024 papers shown

Title
EvCenterNet: Uncertainty Estimation for Object Detection using Evidential Learning Monish R. Nallapareddy Kshitij Sirohi Paulo L. J. Drews-Jr Wolfram Burgard Chih-Hong Cheng Abhinav Valada EDL 81 8 0 06 Mar 2023
Investigating Group Distributionally Robust Optimization for Deep Imbalanced Learning: A Case Study of Binary Tabular Data Classification Ismail B. Mustapha S. Hasan Hatem S Y Nabbus M. Montaser S. Olatunji Siti Maryam Shamsuddin OOD 58 2 0 04 Mar 2023
AdaptiveShape: Solving Shape Variability for 3D Object Detection with Geometry Aware Anchor Distributions B. Sick Michael Walter Jochen Abhau 3DPC 61 1 0 28 Feb 2023
Rethink Long-tailed Recognition with Vision Transformers Zhengzhuo Xu Shuo Yang Xingjun Wang Chun Yuan 92 4 0 28 Feb 2023
GraphSR: A Data Augmentation Algorithm for Imbalanced Node Classification Mengting Zhou Zhiguo Gong 120 23 0 24 Feb 2023
Inducing Neural Collapse in Deep Long-tailed Learning Xuantong Liu Jianfeng Zhang Tianyang Hu He Cao Lujia Pan Yuan Yao 73 31 0 24 Feb 2023
Delving into Identify-Emphasize Paradigm for Combating Unknown Bias Bowen Zhao Chen Chen Qian-Wei Wang Anfeng He Shutao Xia 99 1 0 22 Feb 2023
A Log-linear Gradient Descent Algorithm for Unbalanced Binary Classification using the All Pairs Squared Hinge Loss Kyle R. Rust T. Hocking 44 1 0 21 Feb 2023
Advancing Stuttering Detection via Data Augmentation, Class-Balanced Loss and Multi-Contextual Deep Learning S. A. Sheikh Md. Sahidullah F. Hirsch Slim Ouni 71 18 0 21 Feb 2023
Oriented Object Detection in Optical Remote Sensing Images using Deep Learning: A Survey Kunlin Wang Zi Wang Zhang Li Ang Su Xichao Teng Minhao Liu Qifeng Yu Qifeng Yu ObjD 219 9 0 21 Feb 2023
Nystrom Method for Accurate and Scalable Implicit Differentiation Ryuichiro Hataya M. Yamada ODL 90 9 0 20 Feb 2023
Text Classification in the Wild: a Large-scale Long-tailed Name Normalization Dataset Jiexing Qi Shuhao Li Zhixin Guo Yusheng Huang Cheng Zhou Weinan Zhang Xinbing Wang Zhouhan Lin VLM 52 0 0 19 Feb 2023
Mutual Exclusive Modulator for Long-Tailed Recognition Haixu Long Xiaolin Zhang Yanbin Liu Zongtai Luo Jianbo Liu 73 2 0 19 Feb 2023
Interpreting wealth distribution via poverty map inference using multimodal data Lisette Espin Noboa János Kertész M. Karsai 39 3 0 17 Feb 2023
Visible-Infrared Person Re-Identification via Patch-Mixed Cross-Modality Learning Zhihao Qian Yutian Lin Bo Du 67 17 0 16 Feb 2023
Multi-Task Differential Privacy Under Distribution Skew Walid Krichene Prateek Jain Shuang Song Mukund Sundararajan Abhradeep Thakurta Li Zhang FedML 73 3 0 15 Feb 2023
Over-Sampling Strategy in Feature Space for Graphs based Class-imbalanced Bot Detection S. Shi Kai Qiao Jie Yang Baojie Song Jian Chen Binghai Yan 71 15 0 14 Feb 2023
Generative Oversampling for Imbalanced Data via Majority-Guided VAE Qingzhong Ai Pengyun Wang Lirong He Liangjiang Wen Lujia Pan Zenglin Xu 78 7 0 14 Feb 2023
CUDA: Curriculum of Data Augmentation for Long-Tailed Recognition Sumyeong Ahn Jongwoo Ko Se-Young Yun 142 31 0 10 Feb 2023
Long-Tailed Partial Label Learning via Dynamic Rebalancing Feng Hong Jiangchao Yao Zhihan Zhou Ya Zhang Yanfeng Wang 76 27 0 10 Feb 2023
Learning to Select Pivotal Samples for Meta Re-weighting Yinjun Wu Adam Stein Jacob R. Gardner Mayur Naik 74 0 0 09 Feb 2023
Delving Deep into Simplicity Bias for Long-Tailed Image Recognition Xiu-Shen Wei Xuhao Sun Yang Shen Anqi Xu Peng Wang Faen Zhang 95 1 0 07 Feb 2023
Novel Building Detection and Location Intelligence Collection in Aerial Satellite Imagery Sandeep Singh Christian Wiles A. Bilal 122 0 0 06 Feb 2023
APAM: Adaptive Pre-training and Adaptive Meta Learning in Language Model for Noisy Labels and Long-tailed Learning Sunyi Chi B. Dong Yiming Xu Zhenyu Shi Zheng Du NoLa 104 3 0 06 Feb 2023
Learning Prototype Classifiers for Long-Tailed Recognition Saurabh Sharma Yongqin Xian Ning Yu Ambuj K. Singh 130 13 0 01 Feb 2023
DELTA: degradation-free fully test-time adaptation Bowen Zhao Chen Chen Shutao Xia TTA 173 62 0 30 Jan 2023
SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning Hao Chen R. Tao Yue Fan Yidong Wang Jindong Wang Bernt Schiele Xingxu Xie Bhiksha Raj Marios Savvides 110 155 0 26 Jan 2023
Integrating Local Real Data with Global Gradient Prototypes for Classifier Re-Balancing in Federated Long-Tailed Learning Wenkai Yang Deli Chen Hao Zhou Fandong Meng Jie Zhou Xu Sun FedML 145 5 0 25 Jan 2023
Probabilistic Bilevel Coreset Selection Xiao Zhou Renjie Pi Weizhong Zhang Yong Lin Tong Zhang NoLa 140 32 0 24 Jan 2023
Model Agnostic Sample Reweighting for Out-of-Distribution Learning Xiao Zhou Yong Lin Renjie Pi Weizhong Zhang Renzhe Xu Peng Cui Tong Zhang OODD 107 61 0 24 Jan 2023
Towards Spatial Equilibrium Object Detection Zhaohui Zheng Yuming Chen Qibin Hou Xiang Li Ming-Ming Cheng ObjD 56 0 0 14 Jan 2023
Effective Decision Boundary Learning for Class Incremental Learning Chaoyue Ding Kunchi Li Jun Wan Shan Yu CLL 64 1 0 12 Jan 2023
Understanding Difficulty-based Sample Weighting with a Universal Difficulty Measure Xiaoling Zhou Ou Wu Weiyao Zhu Ziyang Liang 81 5 0 12 Jan 2023
Triple-stream Deep Metric Learning of Great Ape Behavioural Actions Otto Brookes Majid Mirmehdi H. Kühl T. Burghardt 94 15 0 06 Jan 2023
Understanding Imbalanced Semantic Segmentation Through Neural Collapse Zhisheng Zhong Jiequan Cui Yibo Yang Xiaoyang Wu Xiaojuan Qi Xinming Zhang Jiaya Jia 224 52 0 03 Jan 2023
Skew Class-balanced Re-weighting for Unbiased Scene Graph Generation Haeyong Kang Chang D. Yoo 121 6 0 01 Jan 2023
Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data Harsh Rangwani Sumukh K Aithal Mayank Mishra R. Venkatesh Babu 79 31 0 28 Dec 2022
Prototype-guided Cross-task Knowledge Distillation for Large-scale Models Deng Li Aming Wu Yahong Han Qingwen Tian VLM 103 3 0 26 Dec 2022
Off-Policy Reinforcement Learning with Loss Function Weighted by Temporal Difference Error Bumgeun Park Taeyoung Kim Woohyeon Moon L. Vecchietti Dongsoo Har OffRL 67 2 0 26 Dec 2022
LMFLOSS: A Hybrid Loss For Imbalanced Medical Image Classification Abu Adnan Sadi Labib Chowdhury Nur-Wa-Bushra Jahan Mohammad Newaz Sharif Rafi Radeya Chowdhury Faisal Ahamed Khan Nabeel Mohammed 42 11 0 24 Dec 2022
Image Classification with Small Datasets: Overview and Benchmark Lorenzo Brigato Björn Barz Luca Iocchi Joachim Denzler VLM 73 20 0 23 Dec 2022
TopoImb: Toward Topology-level Imbalance in Learning from Graphs Tianxiang Zhao Dongsheng Luo Xiang Zhang Suhang Wang AI4CE 91 12 0 16 Dec 2022
Differentiating Student Feedbacks for Knowledge Tracing Jiajun Cui Wei Zhang Chanjin Zheng Lu Wang Mo Yu Wei Zhang AI4Ed 110 0 0 16 Dec 2022
Multi-Modal Domain Fusion for Multi-modal Aerial View Object Classification Sumanth Udupa Aniruddh Sikdar Suresh Sundaram 51 1 0 14 Dec 2022
Paraphrase Identification with Deep Learning: A Review of Datasets and Methods Chao Zhou Cheng Qiu Daniel Ernesto Acuna 127 26 0 13 Dec 2022
Tackling Data Heterogeneity in Federated Learning with Class Prototypes Yutong Dai Zhenpeng Chen Junnan Li Shelby Heinecke Lichao Sun Ran Xu FedML 95 87 0 06 Dec 2022
Learning Imbalanced Data with Vision Transformers Zhengzhuo Xu R. Liu Shuo Yang Zenghao Chai Chun Yuan 107 36 0 05 Dec 2022
VLG: General Video Recognition with Web Textual Knowledge Jintao Lin Zhaoyang Liu Wenhai Wang Wayne Wu Limin Wang 98 1 0 03 Dec 2022
Leveraging Angular Information Between Feature and Classifier for Long-tailed Learning: A Prediction Reformulation Approach Haoxu Wang Junchi Yan 67 1 0 03 Dec 2022
COmic: Convolutional Kernel Networks for Interpretable End-to-End Learning on (Multi-)Omics Data Jonas C. Ditz Bernhard Reuter Nícolas Pfeifer 62 1 0 02 Dec 2022