Deep Learning

On Deep Multi-View Representation Learning ICML 2015 On Learning Optimized Reaction Diffusion Processes for Effective Image Restoration CVPR 2015 On Pairwise Costs for Network Flow Multi-Object Tracking CVPR 2015 On some provably correct cases of variational inference for topic models NeurIPS 2015 On Theoretical Properties of Sum-Product Networks AISTATS 2015 On the Relationship Between Visual Attributes and Convolutional Networks CVPR 2015 Ontological Supervision for Fine Grained Classification of Street View Storefronts CVPR 2015 On Variance Reduction in Stochastic Gradient Descent and its Asynchronous Variants NeurIPS 2015 Optimizing Neural Networks with Kronecker-factored Approximate Curvature ICML 2015 Orthogonal NMF through Subspace Exploration NeurIPS 2015 Pan-Sharpening With a Hyper-Laplacian Penalty ICCV 2015 Parallel Multi-Dimensional LSTM, With Application to Fast Biomedical Volumetric Image Segmentation NeurIPS 2015 Path-SGD: Path-Normalized Optimization in Deep Neural Networks NeurIPS 2015 Pedestrian Detection Aided by Deep Learning Semantic Tasks CVPR 2015 Photonic Delay Systems as Machine Learning Implementations JMLR 2015 Pointer Networks NeurIPS 2015 PoseNet: A Convolutional Network for Real-Time 6-DOF Camera Relocalization ICCV 2015 Preconditioned Spectral Descent for Deep Learning NeurIPS 2015 Predicting Deep Zero-Shot Convolutional Neural Networks Using Textual Descriptions ICCV 2015 Probabilistic Backpropagation for Scalable Learning of Bayesian Neural Networks ICML 2015 Probabilistic Line Searches for Stochastic Optimization NeurIPS 2015 Projection Metric Learning on Grassmann Manifold With Application to Video Based Face Recognition CVPR 2015 Quartz: Randomized Dual Coordinate Ascent with Arbitrary Sampling NeurIPS 2015 Randomized Block Krylov Methods for Stronger and Faster Approximate Singular Value Decomposition NeurIPS 2015 Ranking and Retrieval of Image Sequences From Multiple Paragraph Queries CVPR 2015