Weakly Supervised Learning

Analysis of Learning from Positive and Unlabeled Data NeurIPS 2014 Bayesian Nonlinear Support Vector Machines and Discriminative Factor Modeling NeurIPS 2014 Boosting with Online Binary Learners for the Multiclass Bandit Problem ICML 2014 Class Proportion Estimation with Application to Multiclass Anomaly Rejection AISTATS 2014 Co-localization in Real-World Images CVPR 2014 Computational Education using Latent Structured Prediction AISTATS 2014 Confidence-Rated Multiple Instance Boosting for Object Detection CVPR 2014 Decontamination of Mutually Contaminated Models AISTATS 2014 Discrete Chebyshev Classifiers ICML 2014 Discriminative Hierarchical Modeling of Spatio-Temporally Composable Human Activities CVPR 2014 Large-scale Multi-label Learning with Missing Labels ICML 2014 Learnability of the Superset Label Learning Problem ICML 2014 Learning and Evaluation in Presence of Non-i.i.d. Label Noise AISTATS 2014 Learning Everything about Anything: Webly-Supervised Visual Concept Learning CVPR 2014 Learning From Weakly Supervised Data by The Expectation Loss SVM (e-SVM) algorithm NeurIPS 2014 Learning Shuffle Ideals Under Restricted Distributions NeurIPS 2014 Learning to Recognize Human Activities from Soft Labeled Data RSS 2014 Marginal Structured SVM with Hidden Variables ICML 2014 Multi-fold MIL Training for Weakly Supervised Object Localization CVPR 2014 Multimodal Learning in Loosely-organized Web Images CVPR 2014 Multiple Structured-Instance Learning for Semantic Segmentation with Uncertain Training Data CVPR 2014 On learning to localize objects with minimal supervision ICML 2014 Optimizing Average Precision using Weakly Supervised Data CVPR 2014 Parallel Feature Selection Inspired by Group Testing NeurIPS 2014 Parsing Occluded People CVPR 2014