Deep Learning

A Complete Variational Tracker NeurIPS 2014 A Compositional Model for Low-Dimensional Image Set Representation CVPR 2014 Actionness Ranking with Lattice Conditional Ordinal Random Fields CVPR 2014 Active Sampling for Subjective Image Quality Assessment CVPR 2014 Adaptive Sampling for Large Scale Boosting JMLR 2014 A Deep Semi-NMF Model for Learning Hidden Representations ICML 2014 A framework for studying synaptic plasticity with neural spike train data NeurIPS 2014 Altitude Training: Strong Bounds for Single-Layer Dropout NeurIPS 2014 A Multiplicative Model for Learning Distributed Text-Based Attribute Representations NeurIPS 2014 An Accelerated Proximal Coordinate Gradient Method NeurIPS 2014 Analog Memories in a Balanced Rate-Based Network of E-I Neurons NeurIPS 2014 Analysis of Learning from Positive and Unlabeled Data NeurIPS 2014 Analysis of Variational Bayesian Latent Dirichlet Allocation: Weaker Sparsity Than MAP NeurIPS 2014 An Autoencoder Approach to Learning Bilingual Word Representations NeurIPS 2014 Anytime Recognition of Objects and Scenes CVPR 2014 Articulated Pose Estimation by a Graphical Model with Image Dependent Pairwise Relations NeurIPS 2014 A Safe Screening Rule for Sparse Logistic Regression NeurIPS 2014 A statistical model for tensor PCA NeurIPS 2014 Attentional Neural Network: Feature Selection Using Cognitive Feedback NeurIPS 2014 Attributed Graph Mining and Matching: An Attempt to Define and Extract Soft Attributed Patterns CVPR 2014 Automated Variational Inference for Gaussian Process Models NeurIPS 2014 Automatic Feature Learning for Robust Shadow Detection CVPR 2014 Avoiding pathologies in very deep networks AISTATS 2014 Bags of Spacetime Energies for Dynamic Scene Recognition CVPR 2014 BING: Binarized Normed Gradients for Objectness Estimation at 300fps CVPR 2014