Class-Balanced Loss Based on Effective Number of Samples

16 January 2019

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

50 / 1,005 papers shown

Title
Rethinking Open-World Semi-Supervised Learning: Distribution Mismatch and Inductive Inference S. Park Hyuk Kwon Kwanghoon Sohn Kibok Lee OffRL 39 0 0 31 May 2024
LoRA-Ensemble: Efficient Uncertainty Modelling for Self-attention Networks Michelle Halbheer Dominik J. Mühlematter Alexander Becker Dominik Narnhofer Helge Aasen Konrad Schindler Mehmet Özgür Türkoglu UQCV 38 1 0 23 May 2024
Simple-Sampling and Hard-Mixup with Prototypes to Rebalance Contrastive Learning for Text Classification Mengyu Li Yuqi Liu Fausto Giunchiglia Xiaoyue Feng Renchu Guan VLM 50 5 0 19 May 2024
Overcoming Catastrophic Forgetting by Exemplar Selection in Task-oriented Dialogue System Chen Chen Ruizhe Li Yuchen Hu Yuanyuan Chen Chengwei Qin Qiang Zhang CLL 43 2 0 16 May 2024
Dynamic Feature Learning and Matching for Class-Incremental Learning Sunyuan Qiang Yanyan Liang Jun Wan Du Zhang CLL 38 3 0 14 May 2024
Automatic Recognition of Food Ingestion Environment from the AIM-2 Wearable Sensor Yuning Huang Mohamed Abul Hassan Jiangpeng He Janine A. Higgins Megan A. McCrory H. Eicher-Miller John Graham Thomas Edward Sazonov F. Zhu 69 1 0 13 May 2024
Harnessing Hierarchical Label Distribution Variations in Test Agnostic Long-tail Recognition Zhiyong Yang Qianqian Xu Zitai Wang Sicong Li Boyu Han Shilong Bao Xiaochun Cao Qingming Huang 33 8 0 13 May 2024
Imbalanced Graph Classification with Multi-scale Oversampling Graph Neural Networks Rongrong Ma Guansong Pang Ling-Hao Chen AI4CE 31 0 0 08 May 2024
Learning Robust Classifiers with Self-Guided Spurious Correlation Mitigation Guangtao Zheng Wenqian Ye Aidong Zhang 36 5 0 06 May 2024
LLM as Dataset Analyst: Subpopulation Structure Discovery with Large Language Model Yulin Luo Ruichuan An Bocheng Zou Yiming Tang Jiaming Liu Shanghang Zhang 44 13 0 03 May 2024
Uncertainty-boosted Robust Video Activity Anticipation Zhaobo Qi Shuhui Wang Weigang Zhang Qingming Huang 41 5 0 29 Apr 2024
IMWA: Iterative Model Weight Averaging Benefits Class-Imbalanced Learning Tasks Zitong Huang Ze Chen Bowen Dong Chaoqi Liang Erjin Zhou Wangmeng Zuo MoMe CLL 46 3 0 25 Apr 2024
Boosting Model Resilience via Implicit Adversarial Data Augmentation Xiaoling Zhou Wei Ye Zhemg Lee Rui Xie Shi-Bo Zhang 44 2 0 25 Apr 2024
Improving Multi-label Recognition using Class Co-Occurrence Probabilities Samyak Rawlekar Shubhang Bhatnagar Vishnuvardhan Pogunulu Srinivasulu Narendra Ahuja VLM 40 5 0 24 Apr 2024
A Survey of Deep Long-Tail Classification Advancements Charika De Alvis Suranga Seneviratne 39 1 0 24 Apr 2024
Unveiling and Mitigating Generalized Biases of DNNs through the Intrinsic Dimensions of Perceptual Manifolds Yanbiao Ma Licheng Jiao Fang Liu Lingling Li Wenping Ma Shuyuan Yang Xu Liu Puhua Chen 52 0 0 22 Apr 2024
Augmenting Safety-Critical Driving Scenarios while Preserving Similarity to Expert Trajectories Hamidreza Mirkhani Behzad Khamidehi Kasra Rezaee 48 1 0 20 Apr 2024
Sentiment-oriented Transformer-based Variational Autoencoder Network for Live Video Commenting Fengyi Fu Shancheng Fang Weidong Chen Zhendong Mao ViT VGen 34 4 0 19 Apr 2024
Generalized Few-Shot Meets Remote Sensing: Discovering Novel Classes in Land Cover Mapping via Hybrid Semantic Segmentation Framework Zhuo Li Fangxiao Lu Jiaqi Zou Lei Hu Hongyan Zhang 49 5 0 19 Apr 2024
TrACT: A Training Dynamics Aware Contrastive Learning Framework for Long-tail Trajectory Prediction Junrui Zhang Mozhgan Pourkeshavarz Amir Rasouli 44 3 0 18 Apr 2024
FedDistill: Global Model Distillation for Local Model De-Biasing in Non-IID Federated Learning Changlin Song Divya Saxena Jiannong Cao Yuqing Zhao FedML 42 3 0 14 Apr 2024
Analyzing Decades-Long Environmental Changes in Namibia Using Archival Aerial Photography and Deep Learning G. Tadesse Caleb Robinson G. Q. Hacheme Akram Zaytar Rahul Dodhia Tsering Wangyal Shawa J. L. Ferres Emmanuel H. Kreike 43 0 0 12 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 46 1 0 10 Apr 2024
YOLC: You Only Look Clusters for Tiny Object Detection in Aerial Images Chenguang Liu Guangshuai Gao Ziyue Huang Zhenghui Hu Qingjie Liu Yunhong Wang ObjD 34 15 0 09 Apr 2024
AnchorAL: Computationally Efficient Active Learning for Large and Imbalanced Datasets Pietro Lesci Andreas Vlachos 35 2 0 08 Apr 2024
PAT: Pixel-wise Adaptive Training for Long-tailed Segmentation Khoi Do Duong Nguyen Nguyen-Hoang Tran Viet Dung Nguyen 45 1 0 08 Apr 2024
DELTA: Decoupling Long-Tailed Online Continual Learning S. Raghavan Jiangpeng He F. Zhu 75 2 0 06 Apr 2024
DeiT-LT Distillation Strikes Back for Vision Transformer Training on Long-Tailed Datasets Harsh Rangwani Pradipto Mondal Mayank Mishra Ashish Ramayee Asokan R. V. Babu 37 8 0 03 Apr 2024
BEM: Balanced and Entropy-based Mix for Long-Tailed Semi-Supervised Learning Hongwei Zheng Linyuan Zhou Han Li Jinming Su Xiaoming Wei Xiaoming Xu 37 4 0 01 Apr 2024
AISPACE at SemEval-2024 task 8: A Class-balanced Soft-voting System for Detecting Multi-generator Machine-generated Text Renhua Gu Xiangfeng Meng DeLMO 49 2 0 01 Apr 2024
Long-Tailed Recognition on Binary Networks by Calibrating A Pre-trained Model Jihun Kim Dahyun Kim Hyungrok Jung Taeil Oh Jonghyun Choi MQ 49 0 0 30 Mar 2024
Long-Tailed Anomaly Detection with Learnable Class Names Chih-Hui Ho Kuan-Chuan Peng Nuno Vasconcelos OODD 43 6 0 29 Mar 2024
Improving Pre-trained Language Model Sensitivity via Mask Specific losses: A case study on Biomedical NER Micheal Abaho Danushka Bollegala Gary Leeming Dan Joyce Iain E Buchan 28 0 0 26 Mar 2024
Strategies to Improve Real-World Applicability of Laparoscopic Anatomy Segmentation Models Fiona R. Kolbinger Jiangpeng He Jinge Ma F. Zhu 28 2 0 25 Mar 2024
Hyperspherical Classification with Dynamic Label-to-Prototype Assignment Mohammad Saeed Ebrahimi Saadabadi Ali Dabouei Sahar Rahimi Malakshan Nasser M. Nasrabadi 46 3 0 25 Mar 2024
Boarding for ISS: Imbalanced Self-Supervised: Discovery of a Scaled Autoencoder for Mixed Tabular Datasets Samuel Stocksieker Denys Pommeret Arthur Charpentier SSL 32 1 0 23 Mar 2024
Accurately Predicting Probabilities of Safety-Critical Rare Events for Intelligent Systems Ruoxuan Bai Jingxuan Yang Weiduo Gong Yi Zhang Qiujing Lu Shuo Feng 55 1 0 20 Mar 2024
CDMAD: Class-Distribution-Mismatch-Aware Debiasing for Class-Imbalanced Semi-Supervised Learning Hyuck Lee Heeyoung Kim 43 1 0 15 Mar 2024
A Short Survey on Importance Weighting for Machine Learning Masanari Kimura H. Hino 41 5 0 15 Mar 2024
Revisiting Adversarial Training under Long-Tailed Distributions Xinli Yue Ningping Mou Qian Wang Lingchen Zhao AAML 33 7 0 15 Mar 2024
Analyzing Data Augmentation for Medical Images: A Case Study in Ultrasound Images Adam Tupper Christian Gagné 22 3 0 14 Mar 2024
Select and Distill: Selective Dual-Teacher Knowledge Transfer for Continual Learning on Vision-Language Models Yu-Chu Yu Chi-Pin Huang Jr-Jen Chen Kai-Po Chang Yung-Hsuan Lai Fu-En Yang Yu-Chiang Frank Wang CLL VLM 45 7 0 14 Mar 2024
Real-time 3D semantic occupancy prediction for autonomous vehicles using memory-efficient sparse convolution Samuel Sze Lars Kunze 3DPC 42 4 0 13 Mar 2024
Iterative Online Image Synthesis via Diffusion Model for Imbalanced Classification Shuhan Li Yi-Mou Lin Hao Chen Kwang-Ting Cheng 44 3 0 13 Mar 2024
Rethinking Loss Functions for Fact Verification Yuta Mukobara Yutaro Shigeto Masashi Shimbo AAML 27 0 0 13 Mar 2024
Probabilistic Contrastive Learning for Long-Tailed Visual Recognition Chaoqun Du Yulin Wang Shiji Song Gao Huang 41 25 0 11 Mar 2024
LTGC: Long-tail Recognition via Leveraging LLMs-driven Generated Content QiHao Zhao Yalun Dai Hao Li Wei Hu Fan Zhang Jun Liu 34 15 0 09 Mar 2024
DiffuLT: How to Make Diffusion Model Useful for Long-tail Recognition Jie Shao Ke Zhu Hanxiao Zhang Jianxin Wu 41 4 0 08 Mar 2024
Delving into the Trajectory Long-tail Distribution for Muti-object Tracking Sijia Chen En Yu Jinyang Li Wenbing Tao DiffM 35 12 0 07 Mar 2024
A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges Wei Ju Siyu Yi Yifan Wang Zhiping Xiao Zhengyan Mao ... Senzhang Wang Xinwang Liu Xiao Luo Philip S. Yu Ming Zhang AI4CE 41 36 0 07 Mar 2024