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Pseudo Label

A lightweight but very power technique for semi supervised learning

Papers

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Showing 476–500 of 956 papers

TitleStatusHype
FireMatch: A Semi-Supervised Video Fire Detection Network Based on Consistency and Distribution Alignment—0
FisherMatch: Semi-Supervised Rotation Regression via Entropy-based Filtering—0
Fitting Different Interactive Information: Joint Classification of Emotion and Intention—0
Flick: Few Labels Text Classification using K-Aware Intermediate Learning in Multi-Task Low-Resource Languages—0
FRACTAL: Fine-Grained Scoring from Aggregate Text Labels—0
Frame-Level Real-Time Assessment of Stroke Rehabilitation Exercises from Video-Level Labeled Data: Task-Specific vs. Foundation Models—0
G2NetPL: Generic Game-Theoretic Network for Partial-Label Image Classification—0
GALOT: Generative Active Learning via Optimizable Zero-shot Text-to-image Generation—0
Gaze-Assisted Human-Centric Domain Adaptation for Cardiac Ultrasound Image Segmentation—0
Generalized Semi-Supervised Learning via Self-Supervised Feature Adaptation—0
Generating Pseudo-labels Adaptively for Few-shot Model-Agnostic Meta-Learning—0
Generation, augmentation, and alignment: A pseudo-source domain based method for source-free domain adaptation—0
Generative Partial Visual-Tactile Fused Object Clustering—0
Generative Self-training for Cross-domain Unsupervised Tagged-to-Cine MRI Synthesis—0
GeT: Generative Target Structure Debiasing for Domain Adaptation—0
Global High Categorical Resolution Land Cover Mapping via Weak Supervision—0
GMP-TL: Gender-augmented Multi-scale Pseudo-label Enhanced Transfer Learning for Speech Emotion Recognition—0
Gradient Alignment with Prototype Feature for Fully Test-time Adaptation—0
Granularity-aware Adaptation for Image Retrieval over Multiple Tasks—0
Graph-Based Uncertainty-Aware Self-Training with Stochastic Node Labeling—0
Graph View-Consistent Learning Network—0
Heterogeneous Domain Adaptation for IoT Intrusion Detection: A Geometric Graph Alignment Approach—0
High-Dimensional Bayesian Optimization via Semi-Supervised Learning with Optimized Unlabeled Data Sampling—0
High-Fidelity Pseudo-label Generation by Large Language Models for Training Robust Radiology Report Classifiers—0
Identity-Clothing Similarity Modeling for Unsupervised Clothing Change Person Re-Identification—0
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