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
LoGex: Improved tail detection of extremely rare histopathology classes via guided diffusion Maximilian Mueller Matthias Hein MedIm 40 0 0 02 Sep 2024
DNN-GDITD: Out-of-distribution detection via Deep Neural Network based Gaussian Descriptor for Imbalanced Tabular Data Priyanka Chudasama Anil Surisetty Aakarsh Malhotra Alok Singh 27 0 0 02 Sep 2024
Covariance-corrected Whitening Alleviates Network Degeneration on Imbalanced Classification Zhiwei Zhang 33 0 0 30 Aug 2024
SAU: A Dual-Branch Network to Enhance Long-Tailed Recognition via Generative Models Guangxi Li Yinsheng Song Mingkai Zheng 41 0 0 29 Aug 2024
Distilling Long-tailed Datasets Zhenghao Zhao Haoxuan Wang Yuzhang Shang Kai Wang Yan Yan DD 48 3 0 24 Aug 2024
Representation Norm Amplification for Out-of-Distribution Detection in Long-Tail Learning Dong Geun Shin Hye Won Chung OODD 35 0 0 20 Aug 2024
PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis Yan Wu Esther Wershof Sebastian M. Schmon Marcel Nassar Błażej Osiński Ridvan Eksi Kun Zhang T. Graepel 34 6 0 20 Aug 2024
Dynamic Label Injection for Imbalanced Industrial Defect Segmentation Emanuele Caruso Francesco Pelosin Alessandro Simoni Marco Boschetti 44 0 0 19 Aug 2024
Long-Tail Temporal Action Segmentation with Group-wise Temporal Logit Adjustment Zhanzhong Pang Fadime Sener Shrinivas Ramasubramanian Angela Yao 40 2 0 19 Aug 2024
On the KL-Divergence-based Robust Satisficing Model Haojie Yan Minglong Zhou Jiayi Guo 31 0 0 17 Aug 2024
All-around Neural Collapse for Imbalanced Classification Enhao Zhang Chaohua Li Chuanxing Geng Songcan Chen AI4CE 36 1 0 14 Aug 2024
Towards Holistic Disease Risk Prediction using Small Language Models Liv Bjorkdahl Oskar Pauli Johan Ostman Chiara Ceccobello Sara Lundell Magnus Kjellberg LM&MA 42 0 0 13 Aug 2024
Long-Tailed Out-of-Distribution Detection: Prioritizing Attention to Tail Yina He Lei Peng Yongcun Zhang Juanjuan Weng Zhiming Luo Shaozi Li OODD 42 0 0 13 Aug 2024
Personalized Federated Learning on Heterogeneous and Long-Tailed Data via Expert Collaborative Learning Fengling Lv Xinyi Shang Yang Zhou Yiqun Zhang Mengke Li Yang Lu FedML 49 0 0 04 Aug 2024
A Systematic Review on Long-Tailed Learning Chongsheng Zhang G. Almpanidis Gaojuan Fan Binquan Deng Yanbo Zhang Ji Liu Aouaidjia Kamel Paolo Soda Joao Gama 34 7 0 01 Aug 2024
LADDER: Language Driven Slice Discovery and Error Rectification Shantanu Ghosh Rayan Syed Chenyu Wang Clare B. Poynton Kayhan Batmanghelich 42 0 0 31 Jul 2024
A Survey on Cell Nuclei Instance Segmentation and Classification: Leveraging Context and Attention João D. Nunes D. Montezuma Domingos Oliveira Tania Pereira Jaime S. Cardoso 53 1 0 26 Jul 2024
ScholarChemQA: Unveiling the Power of Language Models in Chemical Research Question Answering Preslav Nakov Tairan Wang Taicheng Guo Kehan Guo Juexiao Zhou Haoyang Li Mingchen Zhuge Jürgen Schmidhuber Xin Gao Xiangliang Zhang 52 3 0 24 Jul 2024
Improving GBDT Performance on Imbalanced Datasets: An Empirical Study of Class-Balanced Loss Functions Jiaqi Luo Yuan Yuan Shixin Xu AI4CE 39 2 0 19 Jul 2024
Revisiting the Disequilibrium Issues in Tackling Heart Disease Classification Tasks Thao Hoang Linh Nguyen Khoi Do Duong Nguyen Viet Dung Nguyen 31 2 0 19 Jul 2024
LTRL: Boosting Long-tail Recognition via Reflective Learning QiHao Zhao Yalun Dai Shen Lin Wei Hu Fan Zhang Jun Liu 51 1 0 17 Jul 2024
Non-parametric regularization for class imbalance federated medical image classification Jeffry Wicaksana Zengqiang Yan Kwang-Ting Cheng FedML 38 0 0 17 Jul 2024
Shap-Mix: Shapley Value Guided Mixing for Long-Tailed Skeleton Based Action Recognition Jiahang Zhang Lilang Lin Jiaying Liu 36 5 0 17 Jul 2024
Generalized Coverage for More Robust Low-Budget Active Learning Wonho Bae Junhyug Noh Danica J. Sutherland 35 3 0 16 Jul 2024
Learning Confidence Bounds for Classification with Imbalanced Data Matt Clifford Jonathan Erskine Alexander Hepburn Raúl Santos-Rodríguez Dario Garcia-Garcia 38 0 0 16 Jul 2024
Adaptive Parametric Activation Konstantinos Panagiotis Alexandridis Jiankang Deng Anh Nguyen Shan Luo 43 2 0 11 Jul 2024
How to Leverage Predictive Uncertainty Estimates for Reducing Catastrophic Forgetting in Online Continual Learning Giuseppe Serra Ben Werner Florian Buettner 45 2 0 10 Jul 2024
Fish-Vista: A Multi-Purpose Dataset for Understanding & Identification of Traits from Images Kazi Sajeed Mehrab M. Maruf Arka Daw Harish Babu Manogaran Abhilash Neog ... Paula Mabee Wasila Dahdul Anuj Karpatne Wasila M Dahdul Anuj Karpatne 41 4 0 10 Jul 2024
Active Label Refinement for Robust Training of Imbalanced Medical Image Classification Tasks in the Presence of High Label Noise Bidur Khanal Tianhong Dai Binod Bhattarai Cristian A. Linte NoLa 56 0 0 08 Jul 2024
Read, Watch and Scream! Sound Generation from Text and Video Yujin Jeong Yunji Kim Sanghyuk Chun Jiyoung Lee VGen DiffM 34 12 0 08 Jul 2024
Effective-LDAM: An Effective Loss Function To Mitigate Data Imbalance for Robust Chest X-Ray Disease Classification S. SreeRamaVamsidhar Bhargava Satya Rama Krishna Sai Subrahmanyam Gorthi 25 1 0 06 Jul 2024
Enhanced Long-Tailed Recognition with Contrastive CutMix Augmentation Haolin Pan Yong Guo Mianjie Yu Jian Chen 57 1 0 06 Jul 2024
Resampled Datasets Are Not Enough: Mitigating Societal Bias Beyond Single Attributes Yusuke Hirota Jerone T. A. Andrews Dora Zhao Orestis Papakyriakopoulos Apostolos Modas Yuta Nakashima Alice Xiang 49 4 0 04 Jul 2024
Navigating High-Degree Heterogeneity: Federated Learning in Aerial and Space Networks Fan Dong Henry Leung Steve Drew 30 0 0 25 Jun 2024
Personalized federated learning based on feature fusion Wolong Xing Zhenkui Shi Hongyan Peng Xiantao Hu Xianxian Li FedML 39 0 0 24 Jun 2024
MD tree: a model-diagnostic tree grown on loss landscape Yefan Zhou Jianlong Chen Qinxue Cao Konstantin Schürholt Yaoqing Yang 35 2 0 24 Jun 2024
An Efficient NAS-based Approach for Handling Imbalanced Datasets Zhiwei Yao 41 0 0 22 Jun 2024
Computation-Efficient Semi-Supervised Learning for ECG-based Cardiovascular Diseases Detection Rushuang Zhou Zijun Liu Lei A. Clifton David A. Clifton Kannie W. Y. Chan Yuan-Ting Zhang Yining Dong 31 1 0 20 Jun 2024
Fair Differentiable Neural Network Architecture Search for Long-Tailed Data with Self-Supervised Learning Jiaming Yan 60 0 0 19 Jun 2024
The Benefits and Risks of Transductive Approaches for AI Fairness Muhammed Razzak Andreas Kirsch Yarin Gal 38 0 0 17 Jun 2024
Light Up the Shadows: Enhance Long-Tailed Entity Grounding with Concept-Guided Vision-Language Models Yikai Zhang Qianyu He Xintao Wang Siyu Yuan Jiaqing Liang Yanghua Xiao VLM 49 0 0 16 Jun 2024
Heterogeneous Learning Rate Scheduling for Neural Architecture Search on Long-Tailed Datasets Chenxia Tang 22 1 0 11 Jun 2024
Conformal Prediction for Class-wise Coverage via Augmented Label Rank Calibration Yuanjie Shi Subhankar Ghosh Taha Belkhouja J. Doppa Yan Yan 40 0 0 10 Jun 2024
Spatiotemporal Graph Neural Network Modelling Perfusion MRI Ruodan Yan Carola-Bibiane Schönlieb Chao Li 43 1 0 10 Jun 2024
Diversified Batch Selection for Training Acceleration Feng Hong Yueming Lyu Jiangchao Yao Ya Zhang Ivor W. Tsang Yanfeng Wang 42 4 0 07 Jun 2024
Frequency-based Matcher for Long-tailed Semantic Segmentation Shan Li Lu Yang Pu Cao Liulei Li Huadong Ma 51 1 0 06 Jun 2024
Towards Real-world Scenario: Imbalanced New Intent Discovery Shun Zhang Chaoran Yan Jian Yang Jing Liu Ying Mo Jiaqi Bai Tongliang Li Zheng Li 31 2 0 05 Jun 2024
SMCL: Saliency Masked Contrastive Learning for Long-tailed Recognition Sanglee Park Seung-won Hwang Jungmin So 51 0 0 04 Jun 2024
Topology-Aware Dynamic Reweighting for Distribution Shifts on Graph Weihuang Zheng Jiashuo Liu Jiaxing Li Jiayun Wu Peng Cui Youyong Kong OOD 49 0 0 03 Jun 2024
LLMs Could Autonomously Learn Without External Supervision Ke Ji Junying Chen Anningzhe Gao Wenya Xie Xiang Wan Benyou Wang 37 4 0 02 Jun 2024