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Papers (including subtopics)

Efficient Learning of Linear Separators under Bounded Noise COLT 2015 Efficient Non-greedy Optimization of Decision Trees NeurIPS 2015 Efficient Output Kernel Learning for Multiple Tasks NeurIPS 2015 Efficient PSD Constrained Asymmetric Metric Learning for Person Re-Identification ICCV 2015 Efficient Representations for Lifelong Learning and Autoencoding COLT 2015 Efficient SDP Inference for Fully-Connected CRFs Based on Low-Rank Decomposition CVPR 2015 Efficient Second-Order Gradient Boosting for Conditional Random Fields AISTATS 2015 Efficient Sparse Clustering of High-Dimensional Non-spherical Gaussian Mixtures AISTATS 2015 Efficient Sparse-to-Dense Optical Flow Estimation Using a Learned Basis and Layers CVPR 2015 Efficient Training of Structured SVMs via Soft Constraints AISTATS 2015 Efficient Video Segmentation Using Parametric Graph Partitioning ICCV 2015 Eigenwords: Spectral Word Embeddings JMLR 2015 Elastic Functional Coding of Human Actions: From Vector-Fields to Latent Variables CVPR 2015 Elastic-Net Regularization of Singular Values for Robust Subspace Learning CVPR 2015 Embedding Inference for Structured Multilabel Prediction NeurIPS 2015 Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images NeurIPS 2015 Encog: Library of Interchangeable Machine Learning Models for Java and C# JMLR 2015 End-to-end Learning of LDA by Mirror-Descent Back Propagation over a Deep Architecture NeurIPS 2015 End-To-End Memory Networks NeurIPS 2015 Enforcing balance allows local supervised learning in spiking recurrent networks NeurIPS 2015 Entropic Graph-based Posterior Regularization ICML 2015 Entropy-Based Latent Structured Output Prediction ICCV 2015 Entropy evaluation based on confidence intervals of frequency estimates : Application to the learning of decision trees ICML 2015 Escaping From Saddle Points — Online Stochastic Gradient for Tensor Decomposition COLT 2015 Estimating Jaccard Index with Missing Observations: A Matrix Calibration Approach NeurIPS 2015