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Semi-Supervised Learning

2986 directly classified papers

Papers per year

Papers

Portuguese Automated Fact-checking: Information Retrieval with Claim extraction ACL 2025
Optimizing Data Collection for Machine Learning JMLR 2025
Enhancing Low-Resource Text Classification with LLM-Generated Corpora : A Case Study on Olfactory Reference Extraction IJCNLP 2025
Weakly Supervised Contrastive Adversarial Training for Learning Robust Features from Semi-supervised Data CVPR 2025
Retriv at BLP-2025 Task 1: A Transformer Ensemble and Multi-Task Learning Approach for Bangla Hate Speech Identification IJCNLP 2025
Defending Against Repetitive Backdoor Attacks on Semi-Supervised Learning through Lens of Rate-Distortion-Perception Trade-Off WACV 2025
CDAˆ2: Counterfactual Diffusion Augmentation for Cross-Domain Adaptation in Low-Resource Sentiment Analysis COLING 2025
Adaptive Collaborative Labeling with MLLMs for Low-Resource Multimodal Emotion Recognition AACL 2025
Language-Assisted Debiasing and Smoothing for Foundation Model-Based Semi-Supervised Learning CVPR 2025
Sim-and-Real Co-Training: A Simple Recipe for Vision-Based Robotic Manipulation RSS 2025
SnowMaster: Comprehensive Real-world Image Desnowing via MLLM with Multi-Model Feedback Optimization CVPR 2025
Annotation Ambiguity Aware Semi-Supervised Medical Image Segmentation CVPR 2025
Seek Common Ground While Reserving Differences: Semi-Supervised Image-Text Sentiment Recognition CVPR 2025
Calibrating Pseudo-Labeling with Class Distribution for Semi-supervised Text Classification EMNLP 2025
STiL: Semi-supervised Tabular-Image Learning for Comprehensive Task-Relevant Information Exploration in Multimodal Classification CVPR 2025
Fast, Not Fancy: Rethinking G2P with Rich Data and Statistical Models EMNLP 2025
NAVER LABS Europe Submission to the Instruction-following Track ACL 2025
Improving Semi-Supervised Semantic Segmentation with Sliced-Wasserstein Feature Alignment and Uniformity CVPR 2025
Boost the Inference with Co-training: A Depth-guided Mutual Learning Framework for Semi-supervised Medical Polyp Segmentation CVPR 2025
Dynamic Pseudo Labeling via Gradient Cutting for High-Low Entropy Exploration CVPR 2025
Adaptive Learning of High-Value Regions for Semi-Supervised Medical Image Segmentation ICCV 2025
CoDTS: Enhancing Sparsely Supervised Collaborative Perception with a Dual Teacher-Student Framework AAAI 2025
Two Losses, One Goal: Balancing Conflict Gradients for Semi-supervised Semantic Segmentation ICCV 2025
Adaptive Collaborative Labeling with MLLMs for Low-Resource Multimodal Emotion Recognition IJCNLP 2025
Learning Textual Prompts for Open-World Semi-Supervised Learning CVPR 2025