Optimization & Theory

Understanding Image Representations by Measuring Their Equivariance and Equivalence CVPR 2015 Variance Reduced Stochastic Gradient Descent with Neighbors NeurIPS 2015 Variational Dropout and the Local Reparameterization Trick NeurIPS 2015 100+ Times Faster Weighted Median Filter (WMF) CVPR 2014 Altitude Training: Strong Bounds for Single-Layer Dropout NeurIPS 2014 An Accelerated Proximal Coordinate Gradient Method NeurIPS 2014 Anytime Recognition of Objects and Scenes CVPR 2014 A Safe Screening Rule for Sparse Logistic Regression NeurIPS 2014 Bregman Alternating Direction Method of Multipliers NeurIPS 2014 Communication Efficient Distributed Machine Learning with the Parameter Server NeurIPS 2014 Convex Deep Learning via Normalized Kernels NeurIPS 2014 Curvilinear Structure Tracking by Low Rank Tensor Approximation with Model Propagation CVPR 2014 Deblurring Low-light Images with Light Streaks CVPR 2014 Discrete-Continuous Gradient Orientation Estimation for Faster Image Segmentation CVPR 2014 Do Deep Nets Really Need to be Deep? NeurIPS 2014 Estimation with Norm Regularization NeurIPS 2014 Evaluation of Scan-Line Optimization for 3D Medical Image Registration CVPR 2014 Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation 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 Fisher and VLAD with FLAIR CVPR 2014 Gauss-Newton Deformable Part Models for Face Alignment in-the-Wild CVPR 2014 Generalized Nonconvex Nonsmooth Low-Rank Minimization CVPR 2014 Gradient Hard Thresholding Pursuit for Sparsity-Constrained Optimization ICML 2014 How to Evaluate Foreground Maps? CVPR 2014