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conftrace_

graph-based learning

68 papers

Papers

A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning NeurIPS 2019 Graph-Based Semi-Supervised Learning for Natural Language Understanding EMNLP 2019 Graph-Based Semi-Supervised Learning with Non-ignorable Non-response NeurIPS 2019 Matrix Completion for Graph-Based Deep Semi-Supervised Learning AAAI 2019 Word-Node2Vec: Improving Word Embedding with Document-Level Non-Local Word Co-occurrences NAACL 2019 A Random Matrix Analysis and Improvement of Semi-Supervised Learning for Large Dimensional Data JMLR 2018 Semi-Supervised Learning with Competitive Infection Models AISTATS 2018 Smooth Neighbors on Teacher Graphs for Semi-Supervised Learning CVPR 2018 Instance-Level Label Propagation with Multi-Instance Learning IJCAI 2017 Non-Uniform Subset Selection for Active Learning in Structured Data CVPR 2017 Scientific Information Extraction with Semi-supervised Neural Tagging EMNLP 2017 Storage Fit Learning with Unlabeled Data IJCAI 2017 Large Scale Distributed Semi-Supervised Learning Using Streaming Approximation AISTATS 2016 Online Learning with Feedback Graphs Without the Graphs ICML 2016 Active Sample Selection and Correction Propagation on a Gradually-Augmented Graph CVPR 2015 S2: An Efficient Graph Based Active Learning Algorithm with Application to Nonparametric Classification COLT 2015 Weakly Supervised Graph Based Semantic Segmentation by Learning Communities of Image-Parts ICCV 2015 Efficient Label Propagation ICML 2014 Graph-based Semi-supervised Learning: Realizing Pointwise Smoothness Probabilistically ICML 2014 Hierarchical Subquery Evaluation for Active Learning on a Graph CVPR 2014 Scaling Graph-based Semi Supervised Learning to Large Number of Labels Using Count-Min Sketch AISTATS 2014 Wasserstein Propagation for Semi-Supervised Learning ICML 2014 Analyzing the Harmonic Structure in Graph-Based Learning NeurIPS 2013 Density estimation from unweighted k-nearest neighbor graphs: a roadmap NeurIPS 2013 Dynamic Label Propagation for Semi-supervised Multi-class Multi-label Classification ICCV 2013