Deep Learning

Efficient Gradient-Based Inference through Transformations between Bayes Nets and Neural Nets ICML 2014 Estimation with Norm Regularization NeurIPS 2014 Evaluation of Scan-Line Optimization for 3D Medical Image Registration CVPR 2014 Expectation Backpropagation: Parameter-Free Training of Multilayer Neural Networks with Continuous or Discrete Weights NeurIPS 2014 Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation NeurIPS 2014 Factoring Variations in Natural Images with Deep Gaussian Mixture Models NeurIPS 2014 Fast and Robust Archetypal Analysis for Representation Learning CVPR 2014 Fast Sampling-Based Inference in Balanced Neuronal Networks NeurIPS 2014 Fast Supervised Hashing with Decision Trees for High-Dimensional Data CVPR 2014 Fast Training of Pose Detectors in the Fourier Domain NeurIPS 2014 Feedforward Learning of Mixture Models NeurIPS 2014 Finding Matches in a Haystack: A Max-Pooling Strategy for Graph Matching in the Presence of Outliers CVPR 2014 Fisher and VLAD with FLAIR CVPR 2014 Fully Automated Non-rigid Segmentation with Distance Regularized Level Set Evolution Initialized and Constrained by Deep-structured Inference CVPR 2014 Gauss-Newton Deformable Part Models for Face Alignment in-the-Wild CVPR 2014 Generalized Max Pooling CVPR 2014 Generalized Nonconvex Nonsmooth Low-Rank Minimization CVPR 2014 General Stochastic Networks for Classification NeurIPS 2014 Generative Adversarial Nets NeurIPS 2014 Global Belief Recursive Neural Networks NeurIPS 2014 Gradient Hard Thresholding Pursuit for Sparsity-Constrained Optimization ICML 2014 How to Evaluate Foreground Maps? CVPR 2014 How transferable are features in deep neural networks? NeurIPS 2014 Human Body Shape Estimation Using a Multi-Resolution Manifold Forest CVPR 2014 Identifying and attacking the saddle point problem in high-dimensional non-convex optimization NeurIPS 2014