multi-instance learning

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