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Supervised Learning

988 directly classified papers

Papers per year

Papers

What's in a Name? First Names as Facial Attributes CVPR 2013
Model Selection for High-Dimensional Regression under the Generalized Irrepresentability Condition NIPS 2013
Dictionary Learning from Ambiguously Labeled Data CVPR 2013
Lexical and Hierarchical Topic Regression NIPS 2013
On multi-class classification through the minimization of the confusion matrix norm ACML 2013
Unconfused Ultraconservative Multiclass Algorithms ACML 2013
PLAL: Cluster-based active learning COLT 2013
Active and passive learning of linear separators under log-concave distributions COLT 2013
Sieving Regression Forest Votes for Facial Feature Detection in the Wild ICCV 2013
Discriminative Non-blind Deblurring CVPR 2013
Representation, Approximation and Learning of Submodular Functions Using Low-rank Decision Trees COLT 2013
Consistency of Robust Kernel Density Estimators COLT 2013
Group Norm for Learning Structured SVMs with Unstructured Latent Variables ICCV 2013
Analysis of Scores, Datasets, and Models in Visual Saliency Prediction ICCV 2013
General Oracle Inequalities for Gibbs Posterior with Application to Ranking COLT 2013
Structured Learning via Logistic Regression NIPS 2013
Fast Face Detector Training Using Tailored Views ICCV 2013
Revisiting Example Dependent Cost-Sensitive Learning with Decision Trees ICCV 2013
Gibbs Max-Margin Topic Models with Fast Sampling Algorithms ICML 2013
Perfect Associative Learning with Spike-Timing-Dependent Plasticity NIPS 2013
Learning with Noisy Labels NIPS 2013
Auditing: Active Learning with Outcome-Dependent Query Costs NIPS 2013
Sparse Additive Text Models with Low Rank Background NIPS 2013
More data speeds up training time in learning halfspaces over sparse vectors NIPS 2013
Learning with Invariance via Linear Functionals on Reproducing Kernel Hilbert Space NIPS 2013