Weakly Supervised Learning

Convex Multiple-Instance Learning by Estimating Likelihood Ratio NeurIPS 2010 Efficient Heuristics for Discriminative Structure Learning of Bayesian Network Classifiers JMLR 2010 Exploiting weakly-labeled Web images to improve object classification: a domain adaptation approach NeurIPS 2010 Feature Selection using Multiple Streams AISTATS 2010 Generalized Expectation Criteria for Semi-Supervised Learning with Weakly Labeled Data JMLR 2010 Learning from Candidate Labeling Sets NeurIPS 2010 Learning From Crowds JMLR 2010 Learning via Gaussian Herding NeurIPS 2010 MOA: Massive Online Analysis JMLR 2010 Modeling annotator expertise: Learning when everybody knows a bit of something AISTATS 2010 Multiclass-Multilabel Classification with More Classes than Examples AISTATS 2010 Multitask Learning without Label Correspondences NeurIPS 2010 Posterior Regularization for Structured Latent Variable Models JMLR 2010 Reducing Label Complexity by Learning From Bags AISTATS 2010 Simultaneous Object Detection and Ranking with Weak Supervision NeurIPS 2010 Supervised Clustering NeurIPS 2010 Conditional Random Fields with High-Order Features for Sequence Labeling NeurIPS 2009 Dirichlet-Bernoulli Alignment: A Generative Model for Multi-Class Multi-Label Multi-Instance Corpora NeurIPS 2009 Estimating Labels from Label Proportions JMLR 2009 Incorporating Functional Knowledge in Neural Networks JMLR 2009 Learning When Concepts Abound JMLR 2009 Multi-Label Prediction via Compressed Sensing NeurIPS 2009 Nonparametric Greedy Algorithms for the Sparse Learning Problem NeurIPS 2009 Robust Process Discovery with Artificial Negative Events JMLR 2009 Sparsistent Learning of Varying-coefficient Models with Structural Changes NeurIPS 2009