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Semi-Supervised Learning

2986 directly classified papers

Papers per year

Papers

Every Little Bit Helps: Exploring Better Utilization of Unlabeled Data for Semi-supervised Singing Melody Extraction Using Multi-bands Diffusion Model AAAI 2026

ProPL: Universal Semi-Supervised Ultrasound Image Segmentation via Prompt-Guided Pseudo-Labeling AAAI 2026

Semi-Supervised Semantic Segmentation via Derivative Label Propagation AAAI 2026

Bidirectional Channel-selective Semantic Interaction for Semi-Supervised Medical Segmentation AAAI 2026

Semi-Supervised High Dynamic Range Image Reconstructing via Bi-Level Uncertain Area Masking AAAI 2026

UniDiff: Parameter-Efficient Adaptation of Diffusion Models for Land Cover Classification with Multi-Modal Remotely Sensed Imagery and Sparse Annotations WACV 2026

Semi-supervised Domain Adaptation via Mutual Alignment through Joint Error WACV 2026

Cluster-based Pseudo-labeling for Semi-Supervised LiDAR Semantic Segmentation WACV 2026

Robust Multimodal Emotion Recognition from Incomplete Modalities via Query-Based Unimodal and Cross-Modal Learning WACV 2026

SSMT-Net: A Semi-Supervised Multitask Transformer-Based Network for Thyroid Nodule Segmentation in Ultrasound Images WACV 2026

Empowering Source-Free Domain Adaptation via MLLM-Guided Reliability-Based Curriculum Learning WACV 2026

SaccadeX: Directed Acyclic Graph-based Semi-Supervised Learning of Continuous Ocular Dynamics from Sparse Neuromorphic Streams WACV 2026

Learning from Unknown for Open-Set Test-Time Adaptation WACV 2026

SEA-PACE: Semi-Supervised Underwater Image Enhancement via Gaussian Process–Assisted Self-Paced Learning AAAI 2026

Learning Beyond Vision: Vision-Language Distillation and Edge-Aware Mix Diffusion in Semi-Supervised Semantic Segmentation AAAI 2026

PEOCH: Online Cross-Modal Hashing with Semi-Supervised Streaming Data Driving Prototype Evolution AAAI 2026

Binary Message Passing for Generalizable Semi-Supervised Graph Anomaly Detection AAAI 2026

Sheaf Graph Neural Networks via PAC-Bayes Spectral Optimization AAAI 2026

Let the Void Be Void: Robust Open-Set Semi-Supervised Learning via Selective Non-Alignment AAAI 2026

Semi-Supervised Regression by Preserving Ranking Relationships Between Close Unlabeled Samples AAAI 2026

ME-SFDA: Marginal Exploration with Pyramidal Atkinson-Shiffrin Memory for Source-Free Domain Adaptation AAAI 2026

Class-Aware Active Annotation in Federated Semi-Supervised Learning for Medical Image Classification AAAI 2026

Learning to Parse and Reconstruct: Bidirectional Modeling of Question-to-Program Mapping AAAI 2026

Urban Incident Prediction with Graph Neural Networks: Integrating Government Ratings and Crowdsourced Reports AAAI 2026

Robust Pseudo-Labeling via Decoupled Class-Aware Filtering and Dynamic Category Correction AAAI 2026