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Supervised Learning

988 directly classified papers

Papers per year

Papers

PeakSeg: constrained optimal segmentation and supervised penalty learning for peak detection in count data ICML 2015
Attribute Efficient Linear Regression with Distribution-Dependent Sampling ICML 2015
Learning from Corrupted Binary Labels via Class-Probability Estimation ICML 2015
Efficient Second-Order Gradient Boosting for Conditional Random Fields AISTATS 2015
Classifier Learning With Hidden Information CVPR 2015
Fixation Bank: Learning to Reweight Fixation Candidates CVPR 2015
On Consistent Surrogate Risk Minimization and Property Elicitation COLT 2015
Learning to Rank Based on Subsequences ICCV 2015
Consistency of structured output learning with missing labels ACML 2015
Continuous Target Shift Adaptation in Supervised Learning ACML 2015
Conditional High-Order Boltzmann Machine: A Supervised Learning Model for Relation Learning ICCV 2015
Learning to Combine Mid-Level Cues for Object Proposal Generation ICCV 2015
Top Rank Supervised Binary Coding for Visual Search ICCV 2015
Deep LAC: Deep Localization, Alignment and Classification for Fine-Grained Recognition CVPR 2015
Enforcing balance allows local supervised learning in spiking recurrent networks NIPS 2015
End-to-end Learning of LDA by Mirror-Descent Back Propagation over a Deep Architecture NIPS 2015
Robust Logistic Regression and Classification NIPS 2014
Efficient Sample Mining for Object Detection ACML 2014
Sample Distillation for Object Detection and Image Classification ACML 2014
Structured Denoising Autoencoder for Fault Detection and Analysis ACML 2014
Diverse Sequential Subset Selection for Supervised Video Summarization NIPS 2014
Ensembles for Time Series Forecasting ACML 2014
Learning Coverage Functions and Private Release of Marginals COLT 2014
Open Problem: A (Missing) Boosting-type Convergence Result for AdaBoost.MH with Factorized Multi-class Classifiers COLT 2014
6 Seconds of Sound and Vision: Creativity in Micro-Videos CVPR 2014