Co-occurring keywords · papers mentioning both
Papers
Unleashing the Potential of SAM for Medical Adaptation via Hierarchical Decoding
CVPR 2024
Unleashing Unlabeled Data: A Paradigm for Cross-View Geo-Localization
CVPR 2024
Unraveling the Dynamics of Semi-Supervised Hate Speech Detection: The Impact of Unlabeled Data Characteristics and Pseudo-Labeling Strategies
EACL 2024
Unsupervised and Semi-Supervised Co-Salient Object Detection via Segmentation Frequency Statistics
WACV 2024
Variance-enlarged Poisson Learning for Graph-based Semi-Supervised Learning with Extremely Sparse Labeled Data
ICLR 2024
VCC-INFUSE: Towards Accurate and Efficient Selection of Unlabeled Examples in Semi-supervised Learning
IJCAI 2024
VerifyMatch: A Semi-Supervised Learning Paradigm for Natural Language Inference with Confidence-Aware MixUp
EMNLP 2024
Versatile Medical Image Segmentation Learned from Multi-Source Datasets via Model Self-Disambiguation
CVPR 2024
Visual Delta Generator with Large Multi-modal Models for Semi-supervised Composed Image Retrieval
CVPR 2024
Weak-to-Strong 3D Object Detection with X-Ray Distillation
CVPR 2024
A Benchmark for Semi-Inductive Link Prediction in Knowledge Graphs
EMNLP 2023
A Class-Rebalancing Self-Training Framework for Distantly-Supervised Named Entity Recognition
ACL 2023
ACL-Net: Semi-supervised Polyp Segmentation via Affinity Contrastive Learning
AAAI 2023
A comparison of self-supervised pretraining approaches for predicting disease risk from chest radiograph images
MIDL 2023
Adapting Object Size Variance and Class Imbalance for Semi-supervised Object Detection
AAAI 2023
AD-PT: Autonomous Driving Pre-Training with Large-scale Point Cloud Dataset
NeurIPS 2023
A Generalized Deep Markov Random Fields Framework for Fake News Detection
IJCAI 2023
A Generalized Unbiased Risk Estimator for Learning with Augmented Classes
AAAI 2023
A Graph-Theoretic Framework for Understanding Open-World Semi-Supervised Learning
NeurIPS 2023
Alternately Optimized Graph Neural Networks
ICML 2023
An Adaptive Layer to Leverage Both Domain and Task Specific Information from Scarce Data
AAAI 2023
A New Comprehensive Benchmark for Semi-Supervised Video Anomaly Detection and Anticipation
CVPR 2023
A Picture of the Space of Typical Learnable Tasks
ICML 2023
Approximately Bayes-optimal pseudo-label selection
UAI 2023
Are labels informative in semi-supervised learning? Estimating and leveraging the missing-data mechanism.
ICML 2023