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Classification

15,805 papers

Papers per year

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Papers

Search Improves Label for Active Learning NIPS 2016
Supervised Learning with Tensor Networks NIPS 2016
Structured Prediction Theory Based on Factor Graph Complexity NIPS 2016
Supervised learning through the lens of compression NIPS 2016
Large Margin Discriminant Dimensionality Reduction in Prediction Space NIPS 2016
Verification Based Solution for Structured MAB Problems NIPS 2016
Data Programming: Creating Large Training Sets, Quickly NIPS 2016
An ensemble diversity approach to supervised binary hashing NIPS 2016
Equality of Opportunity in Supervised Learning NIPS 2016
Spatio-Temporal Hilbert Maps for Continuous Occupancy Representation in Dynamic Environments NIPS 2016
Boosting with Abstention NIPS 2016
Stochastic Structured Prediction under Bandit Feedback NIPS 2016
Estimating the class prior and posterior from noisy positives and unlabeled data NIPS 2016
A Minimax Approach to Supervised Learning NIPS 2016
Robustness of classifiers: from adversarial to random noise NIPS 2016
Dual Decomposed Learning with Factorwise Oracle for Structural SVM of Large Output Domain NIPS 2016
One-vs-Each Approximation to Softmax for Scalable Estimation of Probabilities NIPS 2016
A Consistent Regularization Approach for Structured Prediction NIPS 2016
A Credit Assignment Compiler for Joint Prediction NIPS 2016
What Makes Objects Similar: A Unified Multi-Metric Learning Approach NIPS 2016
The Limits of Learning with Missing Data NIPS 2016
Joint M-Best-Diverse Labelings as a Parametric Submodular Minimization NIPS 2016
On Regularizing Rademacher Observation Losses NIPS 2016
A scalable end-to-end Gaussian process adapter for irregularly sampled time series classification NIPS 2016
Yggdrasil: An Optimized System for Training Deep Decision Trees at Scale NIPS 2016