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Semi-Supervised Learning

2986 directly classified papers

Papers per year

Papers

PseudoMapTrainer: Learning Online Mapping without HD Maps ICCV 2025
Learnable Logit Adjustment for Imbalanced Semi-Supervised Learning under Class Distribution Mismatch ICCV 2025
Two Losses, One Goal: Balancing Conflict Gradients for Semi-supervised Semantic Segmentation ICCV 2025
STEP-DETR: Advancing DETR-based Semi-Supervised Object Detection with Super Teacher and Pseudo-Label Guided Text Queries ICCV 2025
Semi-supervised Deep Transfer for Regression without Domain Alignment ICCV 2025
From Easy to Hard: Progressive Active Learning Framework for Infrared Small Target Detection with Single Point Supervision ICCV 2025
Cooperative Pseudo Labeling for Unsupervised Federated Classification ICCV 2025
PromotionGo at LeWiDi-2025: Enhancing Multilingual Irony Detection with Data-Augmented Ensembles and L1 Loss EMNLP 2025
Low-Confidence Gold: Refining Low-Confidence Samples for Efficient Instruction Tuning EMNLP 2025
MultiMatch: Multihead Consistency Regularization Matching for Semi-Supervised Text Classification EMNLP 2025
CYCLE-INSTRUCT: Fully Seed-Free Instruction Tuning via Dual Self-Training and Cycle Consistency EMNLP 2025
Learning from Few Samples: A Novel Approach for High-Quality Malcode Generation EMNLP 2025
Minimizing Labeled, Maximizing Unlabeled: An Image-Driven Approach for Video Instance Segmentation CVPR 2025
SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection CVPR 2025
A Semantic Knowledge Complementarity based Decoupling Framework for Semi-supervised Class-imbalanced Medical Image Segmentation CVPR 2025
Point-to-Region Loss for Semi-Supervised Point-Based Crowd Counting CVPR 2025
Language-Assisted Debiasing and Smoothing for Foundation Model-Based Semi-Supervised Learning CVPR 2025
Unlocking the Potential of Unlabeled Data in Semi-Supervised Domain Generalization CVPR 2025
STiL: Semi-supervised Tabular-Image Learning for Comprehensive Task-Relevant Information Exploration in Multimodal Classification CVPR 2025
CRISP: Object Pose and Shape Estimation with Test-Time Adaptation CVPR 2025
CLIP-driven Coarse-to-fine Semantic Guidance for Fine-grained Open-set Semi-supervised Learning CVPR 2025
SemiDAViL: Semi-supervised Domain Adaptation with Vision-Language Guidance for Semantic Segmentation CVPR 2025
Learning Dynamic Collaborative Network for Semi-supervised 3D Vessel Segmentation CVPR 2025
Dynamic Pseudo Labeling via Gradient Cutting for High-Low Entropy Exploration CVPR 2025
Self-Training Meets Consistency: Improving LLMs’ Reasoning with Consistency-Driven Rationale Evaluation NAACL 2025