Co-occurring keywords · papers mentioning both
Papers
Collaborative likelihood-ratio estimation over graphs
JMLR 2025
SLRL: Semi-Supervised Local Community Detection Based on Reinforcement Learning
AAAI 2025
Barely Supervised Learning for Graph-Based Fraud Detection
AAAI 2024
Graph-Aided Online Multi-Kernel Learning
JMLR 2023
Graph-Based Self-Learning for Robust Person Re-Identification
WACV 2023
Investigating the Effectiveness of Graph-based Algorithm for Bangla Text Classification
EMNLP 2023
Label Propagation with Weak Supervision
ICLR 2023
Graph-based Multi-View Fusion and Local Adaptation: Mitigating Within-Household Confusability for Speaker Identification
Interspeech 2022
Personalized Federated Learning With a Graph
IJCAI 2022
Unlabeled Data Help in Graph-Based Semi-Supervised Learning: A Bayesian Nonparametrics Perspective
JMLR 2022
A Distributed Method for Fitting Laplacian Regularized Stratified Models
JMLR 2021
Data driven semi-supervised learning
NeurIPS 2021
Fast Multi-view Discrete Clustering with Anchor Graphs
AAAI 2021
Graph-Based Label Propagation for Semi-Supervised Speaker Identification
Interspeech 2021
Graph-based semi-supervised learning through the lens of safety
UAI 2021
PLUR: A Unifying, Graph-Based View of Program Learning, Understanding, and Repair
NeurIPS 2021
Auto-Encoding Twin-Bottleneck Hashing
CVPR 2020
Consistency of Semi-Supervised Learning Algorithms on Graphs: Probit and One-Hot Methods
JMLR 2020
Data-Efficient Semi-Supervised Learning by Reliable Edge Mining
CVPR 2020
On the consistency of graph-based Bayesian semi-supervised learning and the scalability of sampling algorithms
JMLR 2020
Poisson Learning: Graph Based Semi-Supervised Learning At Very Low Label Rates
ICML 2020
StratLearner: Learning a Strategy for Misinformation Prevention in Social Networks
NeurIPS 2020
Uncertainty Aware Graph Gaussian Process for Semi-Supervised Learning
AAAI 2020
Understanding the Success of Graph-based Semi-Supervised Learning using Partially Labelled Stochastic Block Model
IJCAI 2020
Approximate Manifold Regularization: Scalable Algorithm and Generalization Analysis
IJCAI 2019