Deep Learning

Improving Image Matting Using Comprehensive Sampling Sets CVPR 2013 Infinite Positive Semidefinite Tensor Factorization for Source Separation of Mixture Signals ICML 2013 Integrated Non-Factorized Variational Inference NeurIPS 2013 Iterative Learning and Denoising in Convolutional Neural Associative Memories ICML 2013 Joint Deep Learning for Pedestrian Detection ICCV 2013 Large-Scale Video Summarization Using Web-Image Priors CVPR 2013 LDA Topic Model with Soft Assignment of Descriptors to Words ICML 2013 Learning a Deep Compact Image Representation for Visual Tracking NeurIPS 2013 Learning and Selecting Features Jointly with Point-wise Gated Boltzmann Machines ICML 2013 Learning Cross-Domain Information Transfer for Location Recognition and Clustering CVPR 2013 Learning invariant representations and applications to face verification NeurIPS 2013 Learning Kernels Using Local Rademacher Complexity NeurIPS 2013 Learning Multiple Non-linear Sub-spaces Using K-RBMs CVPR 2013 Learning Parts-based Representations with Nonnegative Restricted Boltzmann Machine ACML 2013 Learning Separable Filters CVPR 2013 Learning Stochastic Feedforward Neural Networks NeurIPS 2013 Learning the Change for Automatic Image Cropping CVPR 2013 Learning the Structure of Sum-Product Networks ICML 2013 Learning to Pass Expectation Propagation Messages NeurIPS 2013 Learning Video Saliency from Human Gaze Using Candidate Selection CVPR 2013 Learning with Noisy Labels NeurIPS 2013 Learning word embeddings efficiently with noise-contrastive estimation NeurIPS 2013 Linear Convergence with Condition Number Independent Access of Full Gradients NeurIPS 2013 Locally Aligned Feature Transforms across Views CVPR 2013 Locally-Linear Learning Machines (L3M) ACML 2013