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Classification

15,805 papers

Papers per year

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Papers

Mind the Nuisance: Gaussian Process Classification using Privileged Noise NIPS 2014
Ranking via Robust Binary Classification NIPS 2014
Multi-Class Deep Boosting NIPS 2014
A Representation Theory for Ranking Functions NIPS 2014
Expectation Backpropagation: Parameter-Free Training of Multilayer Neural Networks with Continuous or Discrete Weights NIPS 2014
Two-Stream Convolutional Networks for Action Recognition in Videos NIPS 2014
Local Decorrelation For Improved Pedestrian Detection NIPS 2014
Deep Recursive Neural Networks for Compositionality in Language NIPS 2014
Fast Prediction for Large-Scale Kernel Machines NIPS 2014
Reputation-based Worker Filtering in Crowdsourcing NIPS 2014
Predicting Useful Neighborhoods for Lazy Local Learning NIPS 2014
On a Theory of Nonparametric Pairwise Similarity for Clustering: Connecting Clustering to Classification NIPS 2014
Partition-wise Linear Models NIPS 2014
Attentional Neural Network: Feature Selection Using Cognitive Feedback NIPS 2014
PAC-Bayesian AUC classification and scoring NIPS 2014
Efficient Optimization for Average Precision SVM NIPS 2014
Analysis of Learning from Positive and Unlabeled Data NIPS 2014
Discriminative Metric Learning by Neighborhood Gerrymandering NIPS 2014
Support vector machines with indefinite kernels ACML 2014
Efficient Sample Mining for Object Detection ACML 2014
Structured Denoising Autoencoder for Fault Detection and Analysis ACML 2014
Interval Insensitive Loss for Ordinal Classification ACML 2014
Learning with Augmented Multi-Instance View ACML 2014
Reduction from Cost-Sensitive Multiclass Classification to One-versus-One Binary Classification ACML 2014
Decontamination of Mutually Contaminated Models AISTATS 2014