Deep Learning

Learning Mixtures of Discrete Product Distributions using Spectral Decompositions COLT 2014 Learning Non-Linear Reconstruction Models for Image Set Classification CVPR 2014 Learning Optimal Seeds for Diffusion-based Salient Object Detection CVPR 2014 Learning Ordered Representations with Nested Dropout ICML 2014 Learning Sparsely Used Overcomplete Dictionaries COLT 2014 Learning to Discover Efficient Mathematical Identities NeurIPS 2014 Learning with Pseudo-Ensembles NeurIPS 2014 Leveraging Hierarchical Parametric Networks for Skeletal Joints Based Action Segmentation and Recognition CVPR 2014 Logistic Regression: Tight Bounds for Stochastic and Online Optimization COLT 2014 Low-Rank Time-Frequency Synthesis NeurIPS 2014 LSDA: Large Scale Detection through Adaptation NeurIPS 2014 Marginalized Denoising Auto-encoders for Nonlinear Representations ICML 2014 Message Passing Inference for Large Scale Graphical Models with High Order Potentials NeurIPS 2014 Modeling Deep Temporal Dependencies with Recurrent Grammar Cells"" NeurIPS 2014 Modeling Image Patches with a Generic Dictionary of Mini-Epitomes CVPR 2014 Multilabel Structured Output Learning with Random Spanning Trees of Max-Margin Markov Networks NeurIPS 2014 Multimodal Learning with Deep Boltzmann Machines JMLR 2014 Multi-source Deep Learning for Human Pose Estimation CVPR 2014 Multitask learning meets tensor factorization: task imputation via convex optimization NeurIPS 2014 Multi-View Perceptron: a Deep Model for Learning Face Identity and View Representations NeurIPS 2014 Neural Decision Forests for Semantic Image Labelling CVPR 2014 Neural Variational Inference and Learning in Belief Networks ICML 2014 Neural Word Embedding as Implicit Matrix Factorization NeurIPS 2014 Nonlinear Dimensionality Reduction of Data by Deep Distributed Random Samplings ACML 2014 Non-rigid Segmentation using Sparse Low Dimensional Manifolds and Deep Belief Networks CVPR 2014