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17 papers

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Co-occurring keywords · papers mentioning both

source-free domain adaptation (2) semi-supervised learning (2) contrastive learning (2) representation learning (2) semi-supervised detection (1) shelf-supervised (1) augmentation-guided consistency loss (1) teacher-student self-training (1) logits distribution (1) mixup (1)

Papers

A Square Peg in a Square Hole: Meta-Expert for Long-Tailed Semi-Supervised Learning ICML 2025 Balanced Learning for Domain Adaptive Semantic Segmentation ICML 2025 Discrepancies are Virtue: Weak-to-Strong Generalization through Lens of Intrinsic Dimension ICML 2025 Handling Imbalanced Pseudolabels for Vision-Language Models with Concept Alignment and Confusion-Aware Calibrated Margin ICML 2025 Learning Compact Semantic Information for Incomplete Multi-View Missing Multi-Label Classification ICML 2025 Provably Near-Optimal Federated Ensemble Distillation with Negligible Overhead ICML 2025 Unsupervised Learning for Class Distribution Mismatch ICML 2025 Boundary-aware Contrastive Learning for Semi-supervised Nuclei Instance Segmentation MIDL 2024 De-Confusing Pseudo-Labels in Source-Free Domain Adaptation ECCV 2024 ELTA: An Enhancer against Long-Tail for Aesthetics-oriented Models ICML 2024 ExMatch: Self-guided Exploitation for Semi-Supervised Learning with Scarce Labeled Samples ECCV 2024 Image Manipulation Detection With Implicit Neural Representation and Limited Supervision ECCV 2024 Semi-Supervised Segmentation via Embedding Matching MIDL 2024 Shelf-Supervised Cross-Modal Pre-Training for 3D Object Detection CoRL 2024 SimPro: A Simple Probabilistic Framework Towards Realistic Long-Tailed Semi-Supervised Learning ICML 2024 Target and task specific source-free domain adaptive image segmentation MIDL 2024 Toward Open Vocabulary Aerial Object Detection with CLIP-Activated Student-Teacher Learning ECCV 2024