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
In-Context Convergence of Transformers Yu Huang Yuan Cheng Yingbin Liang MLT 121 73 0 08 Oct 2023
A Unified Generalization Analysis of Re-Weighting and Logit-Adjustment for Imbalanced Learning Zitai Wang Qianqian Xu Zhiyong Yang Yuan He Xiaochun Cao Qingming Huang 79 25 0 07 Oct 2023
Segmented Harmonic Loss: Handling Class-Imbalanced Multi-Label Clinical Data for Medical Coding with Large Language Models Surjya Ray Pratik Mehta Hongen Zhang Ada Chaman Jian Wang Chung-Jen Ho Michael Chiou T. Suleman 38 1 0 06 Oct 2023
Rayleigh Quotient Graph Neural Networks for Graph-level Anomaly Detection Xiangyu Dong Xingyi Zhang Sibo Wang GNN 96 18 0 04 Oct 2023
A Spatio-Temporal Attention-Based Method for Detecting Student Classroom Behaviors Fan Yang 81 2 0 04 Oct 2023
Bag of Tricks for Fully Test-Time Adaptation Saypraseuth Mounsaveng Florent Chiaroni Malik Boudiaf M. Pedersoli Ismail Ben Ayed TTA 70 7 0 03 Oct 2023
Towards Distribution-Agnostic Generalized Category Discovery Jianhong Bai Zuo-Qiang Liu Hualiang Wang Ruizhe Chen Lianrui Mu Xiaomeng Li Qiufeng Wang Yang Feng Jian Wu Haoji Hu 155 12 0 02 Oct 2023
SCoRe: Submodular Combinatorial Representation Learning Anay Majee Suraj Kothawade Krishnateja Killamsetty Rishabh K. Iyer 141 1 0 29 Sep 2023
Feedback-guided Data Synthesis for Imbalanced Classification Reyhane Askari Hemmat Mohammad Pezeshki Florian Bordes M. Drozdzal Adriana Romero Soriano SyDa 104 21 0 29 Sep 2023
Post-Training Overfitting Mitigation in DNN Classifiers Hang Wang David J. Miller G. Kesidis AAML 63 0 0 28 Sep 2023
HOI4ABOT: Human-Object Interaction Anticipation for Human Intention Reading Collaborative roBOTs Esteve Valls Mascaro Daniel Sliwowski Dongheui Lee 118 9 0 28 Sep 2023
A dual-branch model with inter- and intra-branch contrastive loss for long-tailed recognition Qiong Chen Tianlin Huang Geren Zhu Enlu Lin MQ 71 15 0 28 Sep 2023
Towards Real-World Test-Time Adaptation: Tri-Net Self-Training with Balanced Normalization Yongyi Su Xun Xu Kui Jia TTA 165 26 0 26 Sep 2023
Online Active Learning For Sound Event Detection Mark Lindsey Ankit Shah Francis Kubala R. M. Stern 47 0 0 25 Sep 2023
Stackelberg Driver Model for Continual Policy Improvement in Scenario-Based Closed-Loop Autonomous Driving Haoyi Niu Qimao Chen Yingyue Li Yi Zhang Jianming Hu 111 3 0 25 Sep 2023
InSpaceType: Reconsider Space Type in Indoor Monocular Depth Estimation Cho-Ying Wu Quankai Gao Chin-Cheng Hsu Te-Lin Wu Jing-Wen Chen Ulrich Neumann MDE 99 4 0 24 Sep 2023
Towards Data-centric Graph Machine Learning: Review and Outlook Xin Zheng Yixin Liu Zhifeng Bao Meng Fang Xia Hu Alan Wee-Chung Liew Shirui Pan GNN AI4CE 104 20 0 20 Sep 2023
Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts Jiang-Xin Shi Tong Wei Zhi Zhou Jiejing Shao Xin-Yan Han Yu-Feng Li 111 36 0 18 Sep 2023
Distributionally Robust Post-hoc Classifiers under Prior Shifts Jiaheng Wei Harikrishna Narasimhan Ehsan Amid Wenjun Chu Yang Liu Abhishek Kumar OOD 84 21 0 16 Sep 2023
LCReg: Long-Tailed Image Classification with Latent Categories based Recognition Weide Liu Zhonghua Wu Yiming Wang Henghui Ding Fayao Liu Jie Lin Guosheng Lin 91 14 0 13 Sep 2023
Frequency-Aware Self-Supervised Long-Tailed Learning Ci-Siang Lin Min-Hung Chen Y. Wang 91 4 0 09 Sep 2023
BeeTLe: A Framework for Linear B-Cell Epitope Prediction and Classification Xiao Yuan 72 3 0 05 Sep 2023
Towards Long-Tailed Recognition for Graph Classification via Collaborative Experts Si-Yu Yi Zhengyan Mao Wei Ju Yong-Dao Zhou Luchen Liu Xiao Luo Ming Zhang 97 7 0 31 Aug 2023
RACR-MIL: Weakly Supervised Skin Cancer Grading using Rank-Aware Contextual Reasoning on Whole Slide Images A. Choudhary Angelina S. Hwang Jacob A. Kechter Krishnakant V. Saboo Blake Bordeaux ... Emma Johnson L. Swanson Dennis H. Murphree Aaron Mangold Ravishankar K. Iyer 53 0 0 29 Aug 2023
From SMOTE to Mixup for Deep Imbalanced Classification Wei Cheng Tan-Ha Mai Hsuan-Tien Lin 51 3 0 29 Aug 2023
Robust Long-Tailed Learning via Label-Aware Bounded CVaR Hong Zhu Runpeng Yu Xingui Tang Yifei Wang Yuan Fang Yisen Wang 56 0 0 29 Aug 2023
Class-Imbalanced Graph Learning without Class Rebalancing Zhining Liu Ruizhong Qiu Zhichen Zeng Hyunsik Yoo David Zhou Zhe Xu Yada Zhu Kommy Weldemariam Jingrui He Hanghang Tong AI4CE 84 12 0 27 Aug 2023
A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and Future Directions Zemin Liu Yuan N. Li Nan-Fang Chen Qian Wang Bryan Hooi Bin He FaML 89 15 0 26 Aug 2023
Dynamic Residual Classifier for Class Incremental Learning Xiu-yan Chen Xiaobin Chang 87 18 0 25 Aug 2023
Hyperbolic Random Forests Lars Doorenbos Pablo Márquez-Neila Raphael Sznitman Pascal Mettes 71 8 0 25 Aug 2023
Dual Compensation Residual Networks for Class Imbalanced Learning Rui Hou Hong Chang Bingpeng Ma Shiguang Shan Xilin Chen 103 6 0 25 Aug 2023
Label Budget Allocation in Multi-Task Learning Ximeng Sun Kihyuk Sohn Kate Saenko Clayton Mellina Xiao Bian 92 0 0 24 Aug 2023
Head-Tail Cooperative Learning Network for Unbiased Scene Graph Generation Lei Wang Zejian Yuan Yao Lu Badong Chen 84 0 0 23 Aug 2023
Towards Accelerated Model Training via Bayesian Data Selection Zhijie Deng Peng Cui Jun Zhu 89 5 0 21 Aug 2023
MDCS: More Diverse Experts with Consistency Self-distillation for Long-tailed Recognition QiHao Zhao Chen Jiang Wei Hu Fangying Zhang Jun Liu 81 11 0 19 Aug 2023
DatasetEquity: Are All Samples Created Equal? In The Quest For Equity Within Datasets Shubham Shrivastava Xianling Zhang Sushruth Nagesh Armin Parchami 49 1 0 19 Aug 2023
Online Class Incremental Learning on Stochastic Blurry Task Boundary via Mask and Visual Prompt Tuning Jun-Yeong Moon Keondo Park Jung Uk Kim Gyeong-Moon Park CLL 68 26 0 18 Aug 2023
On Data Imbalance in Molecular Property Prediction with Pre-training Limin Wang Masatoshi Hanai Toyotaro Suzumura Shun Takashige Kenjiro Taura AI4CE 60 0 0 17 Aug 2023
Bag of Tricks for Long-Tailed Multi-Label Classification on Chest X-Rays Feng Hong Tianjie Dai Jiangchao Yao Ya Zhang Yanfeng Wang 95 0 0 17 Aug 2023
Label Shift Adapter for Test-Time Adaptation under Covariate and Label Shifts S. Park Seunghan Yang Jaegul Choo Sungrack Yun VLM TTA 72 19 0 17 Aug 2023
ImbSAM: A Closer Look at Sharpness-Aware Minimization in Class-Imbalanced Recognition Yixuan Zhou Yi Qu Xing Xu Hengtao Shen 73 18 0 15 Aug 2023
Effect of Choosing Loss Function when Using T-batching for Representation Learning on Dynamic Networks Erfan Loghmani MohammadAmin Fazli 43 4 0 13 Aug 2023
SATHUR: Self Augmenting Task Hallucinal Unified Representation for Generalized Class Incremental Learning Sathursan Kanagarajah Thanuja D. Ambegoda Ranga Rodrigo CLL 102 0 0 13 Aug 2023
Robust Asymmetric Loss for Multi-Label Long-Tailed Learning Wongi Park Inhyuk Park Sungeun Kim Jongbin Ryu OOD 78 9 0 10 Aug 2023
Ensemble Modeling for Multimodal Visual Action Recognition Jyoti Kini Sarah Fleischer I. Dave M. Shah 143 1 0 10 Aug 2023
Generalized Unbiased Scene Graph Generation Xinyu Lyu Lianli Gao Junlin Xie Pengpeng Zeng Yulu Tian Jie Shao Hengtao Shen 90 5 0 09 Aug 2023
DeRisk: An Effective Deep Learning Framework for Credit Risk Prediction over Real-World Financial Data Yancheng Liang Jiajie Zhang Hui Li Xiaochen Liu Yi Hu Yonghuan Wu Jinyao Zhang Yongyan Liu Yi Wu 54 2 0 07 Aug 2023
Novel Class Discovery for Long-tailed Recognition Zhang Chuyu Rui Xu Xuming He 118 17 0 06 Aug 2023
Generalized Oversampling for Learning from Imbalanced datasets and Associated Theory Samuel Stocksieker Denys Pommeret Arthur Charpentier 51 1 0 05 Aug 2023
RAHNet: Retrieval Augmented Hybrid Network for Long-tailed Graph Classification Zhengyan Mao Wei Ju Yifang Qin Xiao Luo Ming Zhang 108 16 0 04 Aug 2023