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multi-instance learning

129 papers

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Also known as

MIML MIL

Co-occurring keywords

weakly supervised learning (1323) relation extraction (915) distant supervision (314) whole slide image (111) multi-label learning (117) attention mechanism (3975) semi-supervised learning (2331) self-supervised learning (3751) graph neural network (3945) medical imaging (960)

Papers

Weakly Supervised Dense Video Captioning CVPR 2017
Adversarial Training for Relation Extraction EMNLP 2017
Instance-Level Label Propagation with Multi-Instance Learning IJCAI 2017
Effective Deep Memory Networks for Distant Supervised Relation Extraction IJCAI 2017
Noise Mitigation for Neural Entity Typing and Relation Extraction EACL 2017
Multi-instance multi-label active learning IJCAI 2017
Multi-Instance Learning with Key Instance Shift IJCAI 2017
Efficient Multi-Instance Learning for Activity Recognition from Time Series Data Using an Auto-Regressive Hidden Markov Model ICML 2016
Exploit Bounding Box Annotations for Multi-Label Object Recognition CVPR 2016
Relation Extraction with Multi-instance Multi-label Convolutional Neural Networks COLING 2016
beta-risk: a New Surrogate Risk for Learning from Weakly Labeled Data NIPS 2016
Learning Theory for Distribution Regression JMLR 2016
Visual Recognition by Counting Instances: A Multi-Instance Cardinality Potential Kernel CVPR 2015
DevNet: A Deep Event Network for Multimedia Event Detection and Evidence Recounting CVPR 2015
Watch and Learn: Semi-Supervised Learning for Object Detectors From Video CVPR 2015
Visual Recognition by Learning From Web Data: A Weakly Supervised Domain Generalization Approach CVPR 2015
Augmenting Strong Supervision Using Web Data for Fine-Grained Categorization ICCV 2015
Learning with Augmented Multi-Instance View ACML 2014
Convex and Scalable Weakly Labeled SVMs JMLR 2013
Action Recognition with Actons ICCV 2013
Multi-Instance Learning with Any Hypothesis Class JMLR 2012
Key Instance Detection in Multi-Instance Learning ACML 2012
Maximum Margin Multi-Instance Learning NIPS 2011
Avoiding False Positive in Multi-Instance Learning NIPS 2010
Reducing Label Complexity by Learning From Bags AISTATS 2010