Unsupervised Learning

An Efficient Algorithm for Large Scale Compressive Feature Learning AISTATS 2014 An Extension of Slow Feature Analysis for Nonlinear Blind Source Separation JMLR 2014 A Novel M-Estimator for Robust PCA JMLR 2014 Approximating Hierarchical MV-sets for Hierarchical Clustering NeurIPS 2014 A Single-Pass Algorithm for Efficiently Recovering Sparse Cluster Centers of High-dimensional Data ICML 2014 Attributed Graph Mining and Matching: An Attempt to Define and Extract Soft Attributed Patterns CVPR 2014 Automatic Construction of Deformable Models In-The-Wild CVPR 2014 Automatic Discovery of Cognitive Skills to Improve the Prediction of Student Learning NeurIPS 2014 Bayesian Nonparametric Multilevel Clustering with Group-Level Contexts ICML 2014 Biclustering Using Message Passing NeurIPS 2014 Bridging Viterbi and Posterior Decoding: A Generalized Risk Approach to Hidden Path Inference Based on Hidden Markov Models JMLR 2014 Capturing Long-tail Distributions of Object Subcategories CVPR 2014 Capturing Semantically Meaningful Word Dependencies with an Admixture of Poisson MRFs NeurIPS 2014 Class Proportion Estimation with Application to Multiclass Anomaly Rejection AISTATS 2014 Clustering from Labels and Time-Varying Graphs NeurIPS 2014 Clustering Hidden Markov Models with Variational HEM JMLR 2014 Clustering in the Presence of Background Noise ICML 2014 Community Detection via Random and Adaptive Sampling COLT 2014 Conditional Random Field Autoencoders for Unsupervised Structured Prediction NeurIPS 2014 Constructing Robust Affinity Graphs for Spectral Clustering CVPR 2014 Convex Optimization Procedure for Clustering: Theoretical Revisit NeurIPS 2014 Demystifying Information-Theoretic Clustering ICML 2014 Dependent nonparametric trees for dynamic hierarchical clustering NeurIPS 2014 Discovering Structure in High-Dimensional Data Through Correlation Explanation NeurIPS 2014 Discriminative Unsupervised Feature Learning with Convolutional Neural Networks NeurIPS 2014