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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
SCKD: Semi-Supervised Cross-Modality Knowledge Distillation for 4D Radar Object Detection
AAAI 2025
CDAˆ2: Counterfactual Diffusion Augmentation for Cross-Domain Adaptation in Low-Resource Sentiment Analysis
COLING 2025
ReC-TTT: Contrastive Feature Reconstruction for Test-Time Training
WACV 2025
Learning with Less: Knowledge Distillation from Large Language Models via Unlabeled Data
NAACL 2025
MultiMatch: Multihead Consistency Regularization Matching for Semi-Supervised Text Classification
EMNLP 2025
Unsupervised, Semi-Supervised and LLM-Based Morphological Segmentation for Bribri
NAACL 2025
A Theory of Learning Unified Model via Knowledge Integration from Label Space Varying Domains
CVPR 2025
Retriv at BLP-2025 Task 1: A Transformer Ensemble and Multi-Task Learning Approach for Bangla Hate Speech Identification
IJCNLP 2025
Enhancing Low-Resource Text Classification with LLM-Generated Corpora : A Case Study on Olfactory Reference Extraction
IJCNLP 2025
Optimizing Data Collection for Machine Learning
JMLR 2025
KIT’s Offline Speech Translation and Instruction Following Submission for IWSLT 2025
ACL 2025
NAVER LABS Europe Submission to the Instruction-following Track
ACL 2025
Uncertainty-Guided Cross Attention Ensemble Mean Teacher for Semi-Supervised Medical Image Segmentation
WACV 2025
CIC-IPN at SemEval-2025 Task 11: Transformer-Based Approach to Multi-Class Emotion Detection
SEMEVAL 2025
Tarbiat_Modares_SemEval2025_Task11_MultiLabel_Emotion_TransferLearning
SEMEVAL 2025
Adaptive Collaborative Labeling with MLLMs for Low-Resource Multimodal Emotion Recognition
IJCNLP 2025
Cross Image Feature Perturbation with Pseudo Label Fusion for Semi-Supervised Medical Image Segmentation
WACV 2025
Probability-Density-aware Semi-supervised Learning
AAAI 2025
Boosting Semi-Supervised Video Action Detection with Temporal Context
WACV 2025
SGTC: Semantic-Guided Triplet Co-training for Sparsely Annotated Semi-Supervised Medical Image Segmentation
AAAI 2025
RegMixMatch: Optimizing Mixup Utilization in Semi-Supervised Learning
AAAI 2025
Defending Against Repetitive Backdoor Attacks on Semi-Supervised Learning through Lens of Rate-Distortion-Perception Trade-Off
WACV 2025
Image-to-video Adaptation with Outlier Modeling and Robust Self-learning
AAAI 2025
Progressive Distribution Matching for Federated Semi-Supervised Learning
AAAI 2025
Dynamic Pseudo Labeling via Gradient Cutting for High-Low Entropy Exploration
CVPR 2025
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