:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Feeney, Patrick, Hughes, Michael C.
Format:	Preprint
Published:	2023
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	https://arxiv.org/abs/2309.14277
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Data Augmentation of Contrastive Learning is Estimating Positive-incentive Noise
by: Zhang, Hongyuan, et al.
Published: (2024)

InterLUDE: Interactions between Labeled and Unlabeled Data to Enhance Semi-Supervised Learning
by: Huang, Zhe, et al.
Published: (2024)

MRI-Based Brain Age Estimation with Supervised Contrastive Learning of Continuous Representation
by: Crête, Simon Joseph Clément, et al.
Published: (2025)

Variational Supervised Contrastive Learning
by: Wang, Ziwen, et al.
Published: (2025)

MIO : Mutual Information Optimization using Self-Supervised Binary Contrastive Learning
by: Manna, Siladittya, et al.
Published: (2021)

Contrastive Multiple Instance Learning for Weakly Supervised Person ReID
by: Tyo, Jacob, et al.
Published: (2024)

Semi-Supervised Multimodal Multi-Instance Learning for Aortic Stenosis Diagnosis
by: Huang, Zhe, et al.
Published: (2024)

Contrastive Gaussian Clustering: Weakly Supervised 3D Scene Segmentation
by: Silva, Myrna C., et al.
Published: (2024)

Dynamically Scaled Temperature in Self-Supervised Contrastive Learning
by: Manna, Siladittya, et al.
Published: (2023)

Supervised Contrastive Frame Aggregation for Video Representation Learning
by: Chowdhury, Shaif, et al.
Published: (2025)

NC-TTT: A Noise Contrastive Approach for Test-Time Training
by: Osowiechi, David, et al.
Published: (2024)

Variational Self-Supervised Contrastive Learning Using Beta Divergence
by: Yavuz, Mehmet Can, et al.
Published: (2023)

Supervised Contrastive Vision Transformer for Breast Histopathological Image Classification
by: Shiri, Mohammad, et al.
Published: (2024)

Conditional Pseudo-Supervised Contrast for Data-Free Knowledge Distillation
by: Shao, Renrong, et al.
Published: (2025)

Enhancing Semi-Supervised Multi-View Graph Convolutional Networks via Supervised Contrastive Learning and Self-Training
by: Xiao, Huaiyuan, et al.
Published: (2025)

CADet: Fully Self-Supervised Out-Of-Distribution Detection With Contrastive Learning
by: Guille-Escuret, Charles, et al.
Published: (2022)

A Theoretical Framework for Preventing Class Collapse in Supervised Contrastive Learning
by: Lee, Chungpa, et al.
Published: (2025)

PRCL: Probabilistic Representation Contrastive Learning for Semi-Supervised Semantic Segmentation
by: Xie, Haoyu, et al.
Published: (2024)

Reliable Student: Addressing Noise in Semi-Supervised 3D Object Detection
by: Nozarian, Farzad, et al.
Published: (2024)

Similarity-Dissimilarity Loss for Multi-label Supervised Contrastive Learning
by: Huang, Guangming, et al.
Published: (2024)

A Tale of Two Classes: Adapting Supervised Contrastive Learning to Binary Imbalanced Datasets
by: Mildenberger, David, et al.
Published: (2025)

On the Effectiveness of Supervision in Asymmetric Non-Contrastive Learning
by: Oh, Jeongheon, et al.
Published: (2024)

Systematic comparison of semi-supervised and self-supervised learning for medical image classification
by: Huang, Zhe, et al.
Published: (2023)

ProCNS: Progressive Prototype Calibration and Noise Suppression for Weakly-Supervised Medical Image Segmentation
by: Liu, Y., et al.
Published: (2024)

Mitigating Instance-Dependent Label Noise: Integrating Self-Supervised Pretraining with Pseudo-Label Refinement
by: Bala, Gouranga, et al.
Published: (2024)

ETSCL: An Evidence Theory-Based Supervised Contrastive Learning Framework for Multi-modal Glaucoma Grading
by: Yang, Zhiyuan, et al.
Published: (2024)

Classification of Breast Cancer Histopathology Images using a Modified Supervised Contrastive Learning Method
by: Sani, Matina Mahdizadeh, et al.
Published: (2024)

Detecting Heart Disease from Multi-View Ultrasound Images via Supervised Attention Multiple Instance Learning
by: Huang, Zhe, et al.
Published: (2023)

Self-Supervised Human Activity Recognition with Localized Time-Frequency Contrastive Representation Learning
by: Taghanaki, Setareh Rahimi, et al.
Published: (2022)

Self-Supervised Uncertainty Estimation For Super-Resolution of Satellite Images
by: Zheng, Zhe, et al.
Published: (2026)

Supercm: Revisiting Clustering for Semi-Supervised Learning
by: Singh, Durgesh, et al.
Published: (2025)

SCS-SupCon: Sigmoid-based Common and Style Supervised Contrastive Learning with Adaptive Decision Boundaries
by: Wang, Bin, et al.
Published: (2025)

SimO Loss: Anchor-Free Contrastive Loss for Fine-Grained Supervised Contrastive Learning
by: Bouhsine, Taha, et al.
Published: (2024)

Global-Graph Guided and Local-Graph Weighted Contrastive Learning for Unified Clustering on Incomplete and Noise Multi-View Data
by: He, Hongqing, et al.
Published: (2025)

Unveiling the Dynamics of Information Interplay in Supervised Learning
by: Song, Kun, et al.
Published: (2024)

Self-Supervised Learning with Probabilistic Density Labeling for Rainfall Probability Estimation
by: Lee, Junha, et al.
Published: (2024)

Cross-Validation Is All You Need: A Statistical Approach To Label Noise Estimation
by: Chen, Jianan, et al.
Published: (2023)

From Drops to Grid: Noise-Aware Spatio-Temporal Neural Process for Rainfall Estimation
by: Sarabia, Rafael Pablos, et al.
Published: (2026)

Understanding and Mitigating Human-Labelling Errors in Supervised Contrastive Learning
by: Long, Zijun, et al.
Published: (2024)

How I Warped Your Noise: a Temporally-Correlated Noise Prior for Diffusion Models
by: Chang, Pascal, et al.
Published: (2025)