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Methodology
← Learning Types
Machine Learning
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Learning Types
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Semi-Supervised Learning
2986 directly classified papers
Papers per year
2003: 1
2005: 1
2006: 17
2007: 15
2008: 14
2009: 19
2010: 16
2011: 13
2012: 20
2013: 47
2014: 29
2015: 39
2016: 71
2017: 109
2018: 147
2019: 285
2020: 310
2021: 406
2022: 362
2023: 464
2024: 301
2025: 225
2026: 75
Papers
ME-SFDA: Marginal Exploration with Pyramidal Atkinson-Shiffrin Memory for Source-Free Domain Adaptation
AAAI 2026
Robust Semi-paired Multimodal Learning for Cross-modal Retrieval
AAAI 2026
Neural Collapse Priors Driven Trust Semi-Supervised Multi-View Classification
AAAI 2026
DiCaP: Distribution-Calibrated Pseudo-labeling for Semi-Supervised Multi-Label Learning
AAAI 2026
Collaborative Dual Representations for Semi-Supervised Partial Label Learning
AAAI 2026
Conditional Distribution Learning for Graph Classification
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
Scalable Semi-supervised Community Search via Graph Transformer on Attributed Heterogeneous Information Networks
AAAI 2026
Open-World Deepfake Attribution via Confidence-Aware Asymmetric Learning
AAAI 2026
UniHOI: Unified Human-Object Interaction Understanding via Unified Token Space
AAAI 2026
Learning Beyond Vision: Vision-Language Distillation and Edge-Aware Mix Diffusion in Semi-Supervised Semantic Segmentation
AAAI 2026
SEA-PACE: Semi-Supervised Underwater Image Enhancement via Gaussian Process–Assisted Self-Paced Learning
AAAI 2026
A Pseudo-Label Optimization Method Based on Polar Coordinate Modeling and Prior Constraints
AAAI 2026
SOAR: Semi-Supervised Open-Vocabulary Aerial Object Detection via Dual-Aware Enhanced Prior Denoising
AAAI 2026
S5: Scalable Semi-Supervised Semantic Segmentation in Remote Sensing
AAAI 2026
RSOD: Reliability-Guided Sonar Image Object Detection with Extremely Limited Labels
AAAI 2026
SSR-SAM: Retrieval-Style Segment Anything Model for Semi-Supervised Ultra-High-Resolution Image Segmentation
AAAI 2026
Diffusion-Based Contextual Reconstruction for Point Cloud Segmentation with Limited Annotations
AAAI 2026
S²Teacher: Step-by-step Teacher for Sparsely Annotated Oriented Object Detection
AAAI 2026
Segment Anything Across Shots: A Method and Benchmark
AAAI 2026
Geometric Correspondence Constrained Pseudo-Label Alignment for Source-Free Domain Adaptive Fundus Image Segmentation
AAAI 2026
VPSentry: Semi-supervised Video Polyp Segmentation via Sentry-guided Long-term Prototype Fusion with Correlation Dynamic Propagation
AAAI 2026
ProPL: Universal Semi-Supervised Ultrasound Image Segmentation via Prompt-Guided Pseudo-Labeling
AAAI 2026
SeViL: Semi-supervised Vision-Language Learning with Text Prompt Guiding for Moving Infrared Small Target Detection
AAAI 2026
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