Optimization & Theory

A Direct Least-Squares Solution to the PnP Problem With Unknown Focal Length CVPR 2016 A Simple Practical Accelerated Method for Finite Sums NeurIPS 2016 Asynchronous Parallel Learning for Neural Networks and Structured Models with Dense Features COLING 2016 Bilateral Space Video Segmentation CVPR 2016 Blind Image Deconvolution by Automatic Gradient Activation CVPR 2016 CNNpack: Packing Convolutional Neural Networks in the Frequency Domain NeurIPS 2016 Convolutional Rectifier Networks as Generalized Tensor Decompositions ICML 2016 Deep ADMM-Net for Compressive Sensing MRI NeurIPS 2016 Deep Learning Games NeurIPS 2016 Deep Residual Learning for Image Recognition CVPR 2016 D-GloVe: A Feasible Least Squares Model for Estimating Word Embedding Densities COLING 2016 Discrete Deep Feature Extraction: A Theory and New Architectures ICML 2016 Distributed Flexible Nonlinear Tensor Factorization NeurIPS 2016 DisturbLabel: Regularizing CNN on the Loss Layer CVPR 2016 d-VMP: Distributed Variational Message Passing PGM 2016 Dynamic Network Surgery for Efficient DNNs NeurIPS 2016 Efficient Indexing of Billion-Scale Datasets of Deep Descriptors CVPR 2016 Efficient Large-Scale Approximate Nearest Neighbor Search on the GPU CVPR 2016 Exploiting the Structure: Stochastic Gradient Methods Using Raw Clusters NeurIPS 2016 Exponential expressivity in deep neural networks through transient chaos NeurIPS 2016 Fast Algorithms for Convolutional Neural Networks CVPR 2016 Fast Algorithms for Linear and Kernel SVM+ CVPR 2016 Fast ConvNets Using Group-Wise Brain Damage CVPR 2016 Fixed Point Quantization of Deep Convolutional Networks ICML 2016 FPNN: Field Probing Neural Networks for 3D Data NeurIPS 2016