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Methodology
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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
Semi-supervised Infrared Small Target Detection with Thermodynamic-Inspired Uneven Perturbation and Confidence Adaptation
AAAI 2025
KIT’s Offline Speech Translation and Instruction Following Submission for IWSLT 2025
ACL 2025
Information Extraction from Heterogeneous Documents without Ground Truth Labels using Synthetic Label Generation and Knowledge Distillation
WACV 2025
Semi-supervised Concept Bottleneck Models
ICCV 2025
Dissecting Generalized Category Discovery: Multiplex Consensus under Self-Deconstruction
ICCV 2025
Divide-and-Conquer for Enhancing Unlabeled Learning, Stability, and Plasticity in Semi-supervised Continual Learning
ICCV 2025
S4M: Boosting Semi-Supervised Instance Segmentation with SAM
ICCV 2025
Pseudo-SD: Pseudo Controlled Stable Diffusion for Semi-Supervised and Cross-Domain Semantic Segmentation
ICCV 2025
RA-BUSSeg: Relation-aware Semi-supervised Breast Ultrasound Image Segmentation via Adjacent Propagation and Cross-layer Alignment
ICCV 2025
Fast, Not Fancy: Rethinking G2P with Rich Data and Statistical Models
EMNLP 2025
Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining
CVPR 2025
Bridge the Gap: From Weak to Full Supervision for Temporal Action Localization with PseudoFormer
CVPR 2025
Improving Semi-Supervised Semantic Segmentation with Sliced-Wasserstein Feature Alignment and Uniformity
CVPR 2025
Semi-ViM: Bidirectional State Space Model for Mitigating Label Imbalance in Semi-Supervised Learning
ICCV 2025
DyCON: Dynamic Uncertainty-aware Consistency and Contrastive Learning for Semi-supervised Medical Image Segmentation
CVPR 2025
beta-FFT: Nonlinear Interpolation and Differentiated Training Strategies for Semi-Supervised Medical Image Segmentation
CVPR 2025
Enhancing SAM with Efficient Prompting and Preference Optimization for Semi-supervised Medical Image Segmentation
CVPR 2025
Learning with Noisy Triplet Correspondence for Composed Image Retrieval
CVPR 2025
Seek Common Ground While Reserving Differences: Semi-Supervised Image-Text Sentiment Recognition
CVPR 2025
Learning Textual Prompts for Open-World Semi-Supervised Learning
CVPR 2025
Rethinking Personalized Aesthetics Assessment: Employing Physique Aesthetics Assessment as An Exemplification
CVPR 2025
A Unified Framework for Heterogeneous Semi-supervised Learning
CVPR 2025
Taste More, Taste Better: Diverse Data and Strong Model Boost Semi-Supervised Crowd Counting
CVPR 2025
SnowMaster: Comprehensive Real-world Image Desnowing via MLLM with Multi-Model Feedback Optimization
CVPR 2025
SemiVisBooster: Boosting Semi-Supervised Learning for Fine-Grained Classification through Pseudo-Label Semantic Guidance
ICCV 2025
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