SOTAVerified

Pseudo Label

A lightweight but very power technique for semi supervised learning

Papers

Showing 676700 of 956 papers

TitleStatusHype
FRACTAL: Fine-Grained Scoring from Aggregate Text Labels0
Frame-Level Real-Time Assessment of Stroke Rehabilitation Exercises from Video-Level Labeled Data: Task-Specific vs. Foundation Models0
G2NetPL: Generic Game-Theoretic Network for Partial-Label Image Classification0
GALOT: Generative Active Learning via Optimizable Zero-shot Text-to-image Generation0
Gaze-Assisted Human-Centric Domain Adaptation for Cardiac Ultrasound Image Segmentation0
Generalized Semi-Supervised Learning via Self-Supervised Feature Adaptation0
Generating Pseudo-labels Adaptively for Few-shot Model-Agnostic Meta-Learning0
Generation, augmentation, and alignment: A pseudo-source domain based method for source-free domain adaptation0
Generative Partial Visual-Tactile Fused Object Clustering0
Generative Self-training for Cross-domain Unsupervised Tagged-to-Cine MRI Synthesis0
GeT: Generative Target Structure Debiasing for Domain Adaptation0
Global High Categorical Resolution Land Cover Mapping via Weak Supervision0
GMP-TL: Gender-augmented Multi-scale Pseudo-label Enhanced Transfer Learning for Speech Emotion Recognition0
Gradient Alignment with Prototype Feature for Fully Test-time Adaptation0
Granularity-aware Adaptation for Image Retrieval over Multiple Tasks0
Graph-Based Uncertainty-Aware Self-Training with Stochastic Node Labeling0
Graph View-Consistent Learning Network0
Heterogeneous Domain Adaptation for IoT Intrusion Detection: A Geometric Graph Alignment Approach0
High-Dimensional Bayesian Optimization via Semi-Supervised Learning with Optimized Unlabeled Data Sampling0
High-Fidelity Pseudo-label Generation by Large Language Models for Training Robust Radiology Report Classifiers0
Identity-Clothing Similarity Modeling for Unsupervised Clothing Change Person Re-Identification0
IDPL: Intra-subdomain adaptation adversarial learning segmentation method based on Dynamic Pseudo Labels0
Image to Pseudo-Episode: Boosting Few-Shot Segmentation by Unlabeled Data0
Imbalance-Agnostic Source-Free Domain Adaptation via Avatar Prototype Alignment0
Improve Event Extraction via Self-Training with Gradient Guidance0
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