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
Semi-Supervised Graph Imbalanced Regression Gang Liu Tong Zhao Eric Inae Te Luo Meng Jiang 89 20 0 20 May 2023
Not All Semantics are Created Equal: Contrastive Self-supervised Learning with Automatic Temperature Individualization Zimeng Qiu Quanqi Hu Zhuoning Yuan Denny Zhou Lijun Zhang Tianbao Yang 103 21 0 19 May 2023
Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment Mengke Li Yiu-ming Cheung Yang Lu 146 100 0 19 May 2023
JetSeg: Efficient Real-Time Semantic Segmentation Model for Low-Power GPU-Embedded Systems Miguel Lopez-Montiel Daniel Alejandro Lopez Oscar Montiel VLM SSeg 85 0 0 19 May 2023
Feature-Balanced Loss for Long-Tailed Visual Recognition Mengke Li Y. Cheung Juyong Jiang CVBM 69 14 0 18 May 2023
Adjusting Logit in Gaussian Form for Long-Tailed Visual Recognition Mengke Li Y. Cheung Yang Lu Zhikai Hu Weichao Lan Hui Huang 101 8 0 18 May 2023
Infinite Class Mixup Thomas Mensink Pascal Mettes 64 2 0 17 May 2023
Cold PAWS: Unsupervised class discovery and addressing the cold-start problem for semi-supervised learning Evelyn J. Mannix H. Bondell SSL 42 0 0 17 May 2023
Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions Fei Du Peng Yang Qi Jia Fengtao Nan Xiaoting Chen Yun Yang 76 51 0 15 May 2023
Instance-Aware Repeat Factor Sampling for Long-Tailed Object Detection Burhaneddin Yaman Tanvir Mahmud Chun-Hao Liu 99 5 0 14 May 2023
Enhancing Clinical Predictive Modeling through Model Complexity-Driven Class Proportion Tuning for Class Imbalanced Data: An Empirical Study on Opioid Overdose Prediction Yinan Liu Xinyu Dong Weimin Lyu R. Rosenthal Rachel Wong Tengfei Ma Fusheng Wang 52 0 0 09 May 2023
LMPT: Prompt Tuning with Class-Specific Embedding Loss for Long-tailed Multi-Label Visual Recognition Peng Xia Di Xu Ming Hu Lie Ju Zongyuan Ge VLM 94 11 0 08 May 2023
Data Efficient Training with Imbalanced Label Sample Distribution for Fashion Detection Xin Shen Praful Agrawal Zhongwei Cheng 93 6 0 07 May 2023
Rethinking Class Imbalance in Machine Learning Ou Wu 79 10 0 06 May 2023
Towards Effective Collaborative Learning in Long-Tailed Recognition Zhengzhuo Xu Zenghao Chai Chengying Xu Chun Yuan Haiqin Yang 82 6 0 05 May 2023
Long-Tailed Recognition by Mutual Information Maximization between Latent Features and Ground-Truth Labels Min-Kook Suh Seung-Woo Seo SSL 91 17 0 02 May 2023
FCA: Taming Long-tailed Federated Medical Image Classification by Classifier Anchoring Jeffry Wicaksana Zengqiang Yan Kwang-Ting Cheng FedML 110 5 0 01 May 2023
Cost-Sensitive Self-Training for Optimizing Non-Decomposable Metrics Harsh Rangwani Shrinivas Ramasubramanian S. Takemori Kato Takashi Yuhei Umeda Venkatesh Babu Radhakrishnan 107 4 0 28 Apr 2023
Implicit Counterfactual Data Augmentation for Robust Learning Xiaoling Zhou Ou Wu Michael K. Ng CML OOD BDL 95 2 0 26 Apr 2023
NPRL: Nightly Profile Representation Learning for Early Sepsis Onset Prediction in ICU Trauma Patients Tucker Stewart Katherine Stern G. O’Keefe Ankur Teredesai Juhua Hu 26 0 0 25 Apr 2023
Combining Adversaries with Anti-adversaries in Training Xiaoling Zhou Nan Yang Ou Wu AAML 70 9 0 25 Apr 2023
GARCIA: Powering Representations of Long-tail Query with Multi-granularity Contrastive Learning Weifan Wang Binbin Hu Zhicheng Peng Mingjie Zhong Qing Cui Zhongyi Liu Guannan Zhang Jun Zhou 43 3 0 25 Apr 2023
Transfer Knowledge from Head to Tail: Uncertainty Calibration under Long-tailed Distribution Jiahao Chen Bingyue Su 69 15 0 13 Apr 2023
NoisyTwins: Class-Consistent and Diverse Image Generation through StyleGANs Harsh Rangwani Lavish Bansal Kartik Sharma Tejan Karmali Varun Jampani R. Venkatesh Babu 74 15 0 12 Apr 2023
Hyperbolic Geometric Graph Representation Learning for Hierarchy-imbalance Node Classification Xingcheng Fu Yuecen Wei Qingyun Sun Haonan Yuan Hongzhi Zhang Hao Peng Jianxin Li AI4CE 97 27 0 11 Apr 2023
Class-Imbalanced Learning on Graphs: A Survey Yihong Ma Yijun Tian Nuno Moniz Nitesh Chawla 98 22 0 09 Apr 2023
Reweighted Mixup for Subpopulation Shift Zongbo Han Zhipeng Liang Fan Yang Liu Liu Lanqing Li ... P. Zhao Qinghua Hu Bing Wu Changqing Zhang Jianhua Yao 68 3 0 09 Apr 2023
Propheter: Prophetic Teacher Guided Long-Tailed Distribution Learning Wenxiang Xu Lin Chen Linyun Zhou Jie Lei Lechao Cheng Zunlei Feng Min-Gyoo Song 79 1 0 09 Apr 2023
Improving Identity-Robustness for Face Models Q. Qi Shervin Ardeshir CVBM OOD 88 3 0 07 Apr 2023
Clutter Detection and Removal in 3D Scenes with View-Consistent Inpainting Fangyin Wei Thomas Funkhouser Szymon Rusinkiewicz 3DV 3DPC 78 8 0 07 Apr 2023
FREDOM: Fairness Domain Adaptation Approach to Semantic Scene Understanding Thanh-Dat Truong Ngan Le Bhiksha Raj J. Cothren Khoa Luu 106 25 0 04 Apr 2023
Long-Tailed Visual Recognition via Self-Heterogeneous Integration with Knowledge Excavation Yang Jin Mengke Li Yang Lu Y. Cheung Hanzi Wang 99 26 0 03 Apr 2023
Use Your Head: Improving Long-Tail Video Recognition Toby Perrett Saptarshi Sinha T. Burghardt Majid Mirmehdi Dima Damen 103 17 0 03 Apr 2023
Ranking Regularization for Critical Rare Classes: Minimizing False Positives at a High True Positive Rate Kiarash Mohammadi He Zhao Mengyao Zhai Frederick Tung 79 3 0 31 Mar 2023
Improving Scene Text Recognition for Character-Level Long-Tailed Distribution S. Park Sunghyo Chung Jungsoo Lee Jaegul Choo 61 2 0 31 Mar 2023
SuperDisco: Super-Class Discovery Improves Visual Recognition for the Long-Tail Yingjun Du Jiayi Shen Xiantong Zhen Cees G. M. Snoek 153 13 0 31 Mar 2023
Towards Understanding the Effect of Pretraining Label Granularity Guanzhe Hong Huayu Chen Ariel Fuxman Stanley H. Chan Enming Luo 72 2 0 29 Mar 2023
FEND: A Future Enhanced Distribution-Aware Contrastive Learning Framework for Long-tail Trajectory Prediction Yuning Wang Pu Zhang Lei Bai Jianru Xue 103 24 0 29 Mar 2023
Implicit Visual Bias Mitigation by Posterior Estimate Sharpening of a Bayesian Neural Network Rebecca S Stone Nishant Ravikumar A. Bulpitt David C. Hogg BDL 87 0 0 29 Mar 2023
HiLo: Exploiting High Low Frequency Relations for Unbiased Panoptic Scene Graph Generation Zijian Zhou Miaojing Shi Holger Caesar 98 20 0 28 Mar 2023
Personalized Federated Learning on Long-Tailed Data via Adversarial Feature Augmentation Yang Lu Pinxin Qian Gang Huang Hanzi Wang 84 11 0 27 Mar 2023
Leveraging Old Knowledge to Continually Learn New Classes in Medical Images Evelyn Chee Mong Li Lee Wynne Hsu CLL 46 7 0 24 Mar 2023
Temperature Schedules for Self-Supervised Contrastive Methods on Long-Tail Data Anna Kukleva Moritz Bohle Bernt Schiele Hilde Kuehne Christian Rupprecht 96 45 0 23 Mar 2023
Predicting and Enhancing the Fairness of DNNs with the Curvature of Perceptual Manifolds Yanbiao Ma Licheng Jiao Fan Liu Maoji Wen Lingling Li Wenping Ma Shuyuan Yang Xu Liu Puhua Chen 121 6 0 22 Mar 2023
Fairness Improves Learning from Noisily Labeled Long-Tailed Data Jiaheng Wei Zhaowei Zhu Gang Niu Tongliang Liu Sijia Liu Masashi Sugiyama Yang Liu 70 7 0 22 Mar 2023
InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised Learning Zhuliang Yu Yin Li Yong Jae Lee 85 13 0 13 Mar 2023
Prototype-based Embedding Network for Scene Graph Generation Chao Zheng Xinyu Lyu Lianli Gao Bo Dai Jingkuan Song 98 44 0 13 Mar 2023
Use Perturbations when Learning from Explanations Juyeon Heo Vihari Piratla Matthew Wicker Adrian Weller AAML 68 1 0 11 Mar 2023
Long-tailed Classification from a Bayesian-decision-theory Perspective Bolian Li Ruqi Zhang 98 1 0 10 Mar 2023
Deep Hypothesis Tests Detect Clinically Relevant Subgroup Shifts in Medical Images Lisa M. Koch C. M. Schurch Christian F. Baumgartner Arthur Gretton Philipp Berens OOD 56 2 0 08 Mar 2023