Cover Image

Revisiting semi-supervised learning in the era of foundation models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Ping, Mai, Zheda, Nguyen, Quang-Huy, Chao, Wei-Lun
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Lessons and Insights from a Unifying Study of Parameter-Efficient Fine-Tuning (PEFT) in Visual Recognition
by: Mai, Zheda, et al.
Published: (2024)

Revisiting Model Stitching In the Foundation Model Era
by: Mai, Zheda, et al.
Published: (2026)

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models
by: Mai, Zheda, et al.
Published: (2025)

Fine-Tuning is Fine, if Calibrated
by: Mai, Zheda, et al.
Published: (2024)

Multi-task learning on partially labeled datasets via invariant/equivariant semi-supervised learning
by: Rabadán, Miquel Martí i, et al.
Published: (2026)

MLLM4TS: Leveraging Vision and Multimodal Language Models for General Time-Series Analysis
by: Liu, Qinghua, et al.
Published: (2025)

Towards scientific discovery with dictionary learning: Extracting biological concepts from microscopy foundation models
by: Donhauser, Konstantin, et al.
Published: (2024)

Defect detection using weakly supervised learning
by: Sevetlidis, Vasileios, et al.
Published: (2023)

Reducing self-supervised learning complexity improves weakly-supervised classification performance in computational pathology
by: Lenz, Tim, et al.
Published: (2024)

Automated rock joint trace mapping using a supervised learning model trained on synthetic data generated by parametric modelling
by: Chiu, Jessica Ka Yi, et al.
Published: (2026)

Finer-CAM: Spotting the Difference Reveals Finer Details for Visual Explanation
by: Zhang, Ziheng, et al.
Published: (2025)

Detection of diabetic retinopathy using longitudinal self-supervised learning
by: Zeghlache, Rachid, et al.
Published: (2022)

A self-supervised framework for learning whole slide representations
by: Hou, Xinhai, et al.
Published: (2024)

Point Cloud Compression with Bits-back Coding
by: Hieu, Nguyen Quang, et al.
Published: (2024)

Semi-supervised Concept Bottleneck Models
by: Hu, Lijie, et al.
Published: (2024)

Transferability-Guided Cross-Domain Cross-Task Transfer Learning
by: Tan, Yang, et al.
Published: (2022)

TaxaDiffusion: Progressively Trained Diffusion Model for Fine-Grained Species Generation
by: Monsefi, Amin Karimi, et al.
Published: (2025)

From 100,000+ images to winning the first brain MRI foundation model challenges: Sharing lessons and models
by: Gordaliza, Pedro M., et al.
Published: (2026)

Large language models for artificial general intelligence (AGI): A survey of foundational principles and approaches
by: Mumuni, Alhassan, et al.
Published: (2025)

A filtering scheme for confocal laser endomicroscopy (CLE)-video sequences for self-supervised learning
by: Porsche, Nils, et al.
Published: (2025)

OPFormer: Object Pose Estimation leveraging foundation model with geometric encoding
by: Moroz, Artem, et al.
Published: (2025)

GenRL: Multimodal-foundation world models for generalization in embodied agents
by: Mazzaglia, Pietro, et al.
Published: (2024)

A foundation for exact binarized morphological neural networks
by: Aouad, Theodore, et al.
Published: (2024)

Boosting multi-demographic federated learning for chest radiograph analysis using general-purpose self-supervised representations
by: Lotfinia, Mahshad, et al.
Published: (2025)

Conformal uncertainty quantification to evaluate predictive fairness of foundation AI model for skin lesion classes across patient demographics
by: Bhattacharyya, Swarnava, et al.
Published: (2025)

REMEMBER: Retrieval-based Explainable Multimodal Evidence-guided Modeling for Brain Evaluation and Reasoning in Zero- and Few-shot Neurodegenerative Diagnosis
by: Can, Duy-Cat, et al.
Published: (2025)

Heuristic-Free Multi-Teacher Learning
by: Nguyen, Huy Thong, et al.
Published: (2024)

GPS-MTM: Capturing Pattern of Normalcy in GPS-Trajectories with self-supervised learning
by: Garg, Umang, et al.
Published: (2025)

MLLM-CompBench: A Comparative Reasoning Benchmark for Multimodal LLMs
by: Kil, Jihyung, et al.
Published: (2024)

Feature Hallucination for Self-supervised Action Recognition
by: Wang, Lei, et al.
Published: (2025)

Self-supervised Learning for Hyperspectral Images of Trees
by: Rahman, Moqsadur, et al.
Published: (2025)

Self-supervised Transformation Learning for Equivariant Representations
by: Yu, Jaemyung, et al.
Published: (2025)

Self-supervised Pre-training of Text Recognizers
by: Kišš, Martin, et al.
Published: (2024)

WV-Net: A foundation model for SAR WV-mode satellite imagery trained using contrastive self-supervised learning on 10 million images
by: Glaser, Yannik, et al.
Published: (2024)

VIFO: Visual Feature Empowered Multivariate Time Series Forecasting with Cross-Modal Fusion
by: Wang, Yanlong, et al.
Published: (2025)

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

Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection
by: Cao, Tri, et al.
Published: (2024)

Health system learning achieves generalist neuroimaging models
by: Kondepudi, Akhil, et al.
Published: (2025)

Rethinking Semi-supervised Segmentation Beyond Accuracy: Reliability and Robustness
by: Landgraf, Steven, et al.
Published: (2025)

Recent Deep Semi-supervised Learning Approaches and Related Works
by: Kim, Gyeongho
Published: (2021)