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Classification

15,289 papers

Papers per year

Papers

Quantum Perceptron Models NIPS 2016
Satisfying Real-world Goals with Dataset Constraints NIPS 2016
Launch and Iterate: Reducing Prediction Churn NIPS 2016
Deep Neural Networks with Inexact Matching for Person Re-Identification NIPS 2016
Optimal Binary Classifier Aggregation for General Losses NIPS 2016
Dense Associative Memory for Pattern Recognition NIPS 2016
Fairness in Learning: Classic and Contextual Bandits NIPS 2016
Lifelong Learning with Weighted Majority Votes NIPS 2016
Visual Question Answering with Question Representation Update (QRU) NIPS 2016
TPOT: A Tree-based Pipeline Optimization Tool for Automating Machine Learning AUTOML 2016
A Bayesian Nonparametric Approach for Multi-label Classification ACML 2016
Learning Feature Aware Metric ACML 2016
Learning Distance Metrics for Multi-Label Classification ACML 2016
Echo State Hoeffding Tree Learning ACML 2016
A Robust-Equitable Copula Dependence Measure for Feature Selection AISTATS 2016
Random Forest for the Contextual Bandit Problem AISTATS 2016
Unsupervised Ensemble Learning with Dependent Classifiers AISTATS 2016
Nearly Optimal Classification for Semimetrics AISTATS 2016
NuC-MKL: A Convex Approach to Non Linear Multiple Kernel Learning AISTATS 2016
Nonparametric Budgeted Stochastic Gradient Descent AISTATS 2016
Fast and Scalable Structural SVM with Slack Rescaling AISTATS 2016
A Deep Generative Deconvolutional Image Model AISTATS 2016
A Convex Surrogate Operator for General Non-Modular Loss Functions AISTATS 2016
Improper Deep Kernels AISTATS 2016
Provable Tensor Methods for Learning Mixtures of Generalized Linear Models AISTATS 2016