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Weakly Supervised Learning

3,905 papers

Papers per year

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20
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Papers

Feature Selection using Multiple Streams AISTATS 2010
Reducing Label Complexity by Learning From Bags AISTATS 2010
Modeling annotator expertise: Learning when everybody knows a bit of something AISTATS 2010
Generalized Expectation Criteria for Semi-Supervised Learning with Weakly Labeled Data JMLR 2010
Learning From Crowds JMLR 2010
MOA: Massive Online Analysis JMLR 2010
Posterior Regularization for Structured Latent Variable Models JMLR 2010
Efficient Heuristics for Discriminative Structure Learning of Bayesian Network Classifiers JMLR 2010
Nonparametric Greedy Algorithms for the Sparse Learning Problem NIPS 2009
Structured output regression for detection with partial truncation NIPS 2009
Multi-Label Prediction via Compressed Sensing NIPS 2009
Dirichlet-Bernoulli Alignment: A Generative Model for Multi-Class Multi-Label Multi-Instance Corpora NIPS 2009
Sparsistent Learning of Varying-coefficient Models with Structural Changes NIPS 2009
Conditional Random Fields with High-Order Features for Sequence Labeling NIPS 2009
Whose Vote Should Count More: Optimal Integration of Labels from Labelers of Unknown Expertise NIPS 2009
Using Local Dependencies within Batches to Improve Large Margin Classifiers JMLR 2009
Supervised Descriptive Rule Discovery: A Unifying Survey of Contrast Set, Emerging Pattern and Subgroup Mining JMLR 2009
Incorporating Functional Knowledge in Neural Networks JMLR 2009
Robust Process Discovery with Artificial Negative Events JMLR 2009
Estimating Labels from Label Proportions JMLR 2009
Learning When Concepts Abound JMLR 2009
Multi-Level Active Prediction of Useful Image Annotations for Recognition NIPS 2008
Generative and Discriminative Learning with Unknown Labeling Bias NIPS 2008
Partially Observed Maximum Entropy Discrimination Markov Networks NIPS 2008
Max-margin Classification of Data with Absent Features JMLR 2008