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Classification

15,805 papers

Papers per year

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Papers

Convolutional Nets and Watershed Cuts for Real-Time Semantic Labeling of RGBD Videos JMLR 2014
On the Bayes-Optimality of F-Measure Maximizers JMLR 2014
New Results for Random Walk Learning JMLR 2014
Effective Sampling and Learning for Mallows Models with Pairwise-Preference Data JMLR 2014
Robust Bloom Filters for Large MultiLabel Classification Tasks NIPS 2013
On the Relationship Between Binary Classification, Bipartite Ranking, and Binary Class Probability Estimation NIPS 2013
Perfect Associative Learning with Spike-Timing-Dependent Plasticity NIPS 2013
Conditional Random Fields via Univariate Exponential Families NIPS 2013
Deep Fisher Networks for Large-Scale Image Classification NIPS 2013
Learning with Noisy Labels NIPS 2013
Dropout Training as Adaptive Regularization NIPS 2013
Auditing: Active Learning with Outcome-Dependent Query Costs NIPS 2013
Fast Algorithms for Gaussian Noise Invariant Independent Component Analysis NIPS 2013
RNADE: The real-valued neural autoregressive density-estimator NIPS 2013
Reservoir Boosting : Between Online and Offline Ensemble Learning NIPS 2013
Decision Jungles: Compact and Rich Models for Classification NIPS 2013
Robust Spatial Filtering with Beta Divergence NIPS 2013
Learning Efficient Random Maximum A-Posteriori Predictors with Non-Decomposable Loss Functions NIPS 2013
q-OCSVM: A q-Quantile Estimator for High-Dimensional Distributions NIPS 2013
Fast Template Evaluation with Vector Quantization NIPS 2013
Correlated random features for fast semi-supervised learning NIPS 2013
Near-optimal Anomaly Detection in Graphs using Lovasz Extended Scan Statistic NIPS 2013
A Deep Architecture for Matching Short Texts NIPS 2013
A* Lasso for Learning a Sparse Bayesian Network Structure for Continuous Variables NIPS 2013
Compete to Compute NIPS 2013