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Semi-Supervised Learning

407 papers

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Papers

GenDis: Generative-Discriminative Dual-View Co-Training for Generalized Category Discovery ACL 2026

HOPE: Hybrid Optimized Parallel Encoding with Supervised and Unsupervised Semantic Fusion for Depression Symptom Detection ACL 2026

Topological-Aware Regularization for Semi-Supervised Intracranial Aneurysm Vessel Segmentation MIDL 2026

ECT-3DMedSAM: Efficient Cross Teaching Using Segment Anything Model for Semi-Supervised 3D Medical Image Segmentation MIDL 2026

Lesion-Aware Reconstruction with Principal Network: Enhancing Pseudo-Label Reliability in Semi-Supervised Clinical Lesion Detection MIDL 2026

Calibration-Aware Semi-Supervised Fetal Head Segmentation with Boundary-Positive Contrast MIDL 2026

Enforcing 3D Coherence in Semi-Supervised Segmentation for Pancreatic Tumor Histopathology from Light Sheet Fluorescence Microscopy MIDL 2026

Open-world Radio Frequency Fingerprint Identification via Augmented Semi-supervised Learning AAAI 2025

VisRec: A Semi-Supervised Approach to Visibility Data Reconstruction in Radio Astronomy AAAI 2025

Combating Semantic Contamination in Learning with Label Noise AAAI 2025

SCKD: Semi-Supervised Cross-Modality Knowledge Distillation for 4D Radar Object Detection AAAI 2025

SGTC: Semantic-Guided Triplet Co-training for Sparsely Annotated Semi-Supervised Medical Image Segmentation AAAI 2025

Iterative Self-Training with Class-Aware Text-to-Image Synthesis for Visual Task Learning AAAI 2025

AdaCo: Overcoming Visual Foundation Model Noise in 3D Semantic Segmentation via Adaptive Label Correction AAAI 2025

Context-aware Graph Neural Network for Graph-based Fraud Detection with Extremely Limited Labels AAAI 2025

Semi-Supervised Multimodal Classification Through Learning from Modal and Strategic Complementarities AAAI 2025

RegMixMatch: Optimizing Mixup Utilization in Semi-Supervised Learning AAAI 2025

Bi-Level Optimization for Semi-Supervised Learning with Pseudo-Labeling AAAI 2025

GapMatch: Bridging Instance and Model Perturbations for Enhanced Semi-Supervised Medical Image Segmentation AAAI 2025

Semi-Supervised Multi-View Multi-Label Learning with View-Specific Transformer and Enhanced Pseudo-Label AAAI 2025

AGMixup: Adaptive Graph Mixup for Semi-supervised Node Classification AAAI 2025

LCGC: Learning from Consistency Gradient Conflicting for Class-Imbalanced Semi-Supervised Debiasing AAAI 2025

Beyond Virtual Points: Depth-Enhanced LiDAR-only 3D Object Detection with Semi-Supervised Learning (Student Abstract) AAAI 2025

SnowMaster: Comprehensive Real-world Image Desnowing via MLLM with Multi-Model Feedback Optimization CVPR 2025

HiLoTs: High-Low Temporal Sensitive Representation Learning for Semi-Supervised LiDAR Segmentation in Autonomous Driving CVPR 2025