Imagen de Portada

Disjoint Contrastive Regression Learning for Multi-Sourced Annotations

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Ruan, Xiaoqian, Wang, Gaoang
Formato:	Preprint
Publicado:	2021
Materias:	Machine Learning Computer Vision and Pattern Recognition
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Improving Medical Multi-modal Contrastive Learning with Expert Annotations
por: Kumar, Yogesh, et al.
Publicado: (2024)

Contrastive Learning for Regression on Hyperspectral Data
por: Dhaini, Mohamad, et al.
Publicado: (2024)

StruMPL: Multi-task Dense Regression under Disjoint Partial Supervision and MNAR Labels
por: Asiyabi, Reza M., et al.
Publicado: (2026)

DWCL: Dual-Weighted Contrastive Learning for Multi-View Clustering
por: Yuan, Hanning, et al.
Publicado: (2024)

Spectral-Spatial Contrastive Learning Framework for Regression on Hyperspectral Data
por: Dhaini, Mohamad, et al.
Publicado: (2026)

Exploring Time Conditioning in Diffusion Generative Models from Disjoint Noisy Data Manifolds
por: Li, Liuzhuozheng, et al.
Publicado: (2026)

A Principled Framework for Multi-View Contrastive Learning
por: Koromilas, Panagiotis, et al.
Publicado: (2025)

MedM2G: Unifying Medical Multi-Modal Generation via Cross-Guided Diffusion with Visual Invariant
por: Zhan, Chenlu, et al.
Publicado: (2024)

Adaptive Multi-head Contrastive Learning
por: Wang, Lei, et al.
Publicado: (2023)

Variational Supervised Contrastive Learning
por: Wang, Ziwen, et al.
Publicado: (2025)

The Cost of Context: Mitigating Textual Bias in Multimodal Retrieval-Augmented Generation
por: Jung, Hoin, et al.
Publicado: (2026)

What Has Been Overlooked in Contrastive Source-Free Domain Adaptation: Leveraging Source-Informed Latent Augmentation within Neighborhood Context
por: Wang, Jing, et al.
Publicado: (2024)

Dual-Model Defense: Safeguarding Diffusion Models from Membership Inference Attacks through Disjoint Data Splitting
por: Tran, Bao Q., et al.
Publicado: (2024)

DiffusionMTL: Learning Multi-Task Denoising Diffusion Model from Partially Annotated Data
por: Ye, Hanrong, et al.
Publicado: (2024)

CLImage: Human-Annotated Datasets for Complementary-Label Learning
por: Wang, Hsiu-Hsuan, et al.
Publicado: (2023)

ProbMCL: Simple Probabilistic Contrastive Learning for Multi-label Visual Classification
por: Sajedi, Ahmad, et al.
Publicado: (2024)

Partial Multi-View Clustering via Meta-Learning and Contrastive Feature Alignment
por: Chen, BoHao
Publicado: (2024)

Active Learning with a Noisy Annotator
por: Shafir, Netta, et al.
Publicado: (2025)

Multi-modal Data Binding for Survival Analysis Modeling with Incomplete Data and Annotations
por: Qu, Linhao, et al.
Publicado: (2024)

SupReMix: Supervised Contrastive Learning for Medical Imaging Regression with Mixup
por: Wu, Yilei, et al.
Publicado: (2023)

Visual Imitation Learning with Calibrated Contrastive Representation
por: Wang, Yunke, et al.
Publicado: (2024)

MoEGCL: Mixture of Ego-Graphs Contrastive Representation Learning for Multi-View Clustering
por: Zhu, Jian, et al.
Publicado: (2025)

Unsupervised Waste Classification By Dual-Encoder Contrastive Learning and Multi-Clustering Voting (DECMCV)
por: Huang, Kui, et al.
Publicado: (2025)

ContrastCAD: Contrastive Learning-based Representation Learning for Computer-Aided Design Models
por: Jung, Minseop, et al.
Publicado: (2024)

Confidence-aware Contrastive Learning for Selective Classification
por: Wu, Yu-Chang, et al.
Publicado: (2024)

Radial-Angular Geometry for Reliable Update Diagnosis in Noisy-Label Learning
por: Peng, Ningkang, et al.
Publicado: (2026)

MVAR: MultiVariate AutoRegressive Air Pollutants Forecasting Model
por: Fan, Xu, et al.
Publicado: (2025)

Probabilistic Contrastive Learning for Long-Tailed Visual Recognition
por: Du, Chaoqun, et al.
Publicado: (2024)

Ultrasound Vision-Language Alignment via Contrastive Learning
por: Lyu, Zhuoyang, et al.
Publicado: (2026)

TLG: Temporal-Logic Grounding for Video Question Answering via Source-Annotation Reconstruction and Category-Targeted Reasoning
por: Alavi, Ali
Publicado: (2026)

Deep Regression Representation Learning with Topology
por: Zhang, Shihao, et al.
Publicado: (2024)

Learn from Foundation Model: Fruit Detection Model without Manual Annotation
por: Wang, Yanan, et al.
Publicado: (2024)

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

Pseudo Multi-Source Domain Generalization: Bridging the Gap Between Single and Multi-Source Domain Generalization
por: Enomoto, Shohei
Publicado: (2025)

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

Bisecle: Binding and Separation in Continual Learning for Video Language Understanding
por: Tan, Yue, et al.
Publicado: (2025)

Rethinking Positive Pairs in Contrastive Learning
por: Wu, Jiantao, et al.
Publicado: (2024)

A Mathematical Perspective On Contrastive Learning
por: Baptista, Ricardo, et al.
Publicado: (2025)

Learning the Unlearned: Mitigating Feature Suppression in Contrastive Learning
por: Zhang, Jihai, et al.
Publicado: (2024)

$\mathbb{X}$-Sample Contrastive Loss: Improving Contrastive Learning with Sample Similarity Graphs
por: Sobal, Vlad, et al.
Publicado: (2024)