Deep Learning

Sparse Variational Inference for Generalized GP Models ICML 2015 Spatial Transformer Networks NeurIPS 2015 Spectral Representations for Convolutional Neural Networks NeurIPS 2015 Statistical Model Criticism using Kernel Two Sample Tests NeurIPS 2015 Stochastic Spectral Descent for Restricted Boltzmann Machines AISTATS 2015 Stochastic Structured Variational Inference AISTATS 2015 StopWasting My Gradients: Practical SVRG NeurIPS 2015 Streaming Variational Inference for Bayesian Nonparametric Mixture Models AISTATS 2015 Structural Sparse Tracking CVPR 2015 Structured Transforms for Small-Footprint Deep Learning NeurIPS 2015 SUN RGB-D: A RGB-D Scene Understanding Benchmark Suite CVPR 2015 Superdifferential Cuts for Binary Energies CVPR 2015 Superpixel Meshes for Fast Edge-Preserving Surface Reconstruction CVPR 2015 Super-Resolution Person Re-Identification With Semi-Coupled Low-Rank Discriminant Dictionary Learning CVPR 2015 Supervised Discrete Hashing CVPR 2015 Supervised Learning for Dynamical System Learning NeurIPS 2015 Supervised Mid-Level Features for Word Image Representation CVPR 2015 Synaptic Sampling: A Bayesian Approach to Neural Network Plasticity and Rewiring NeurIPS 2015 Taking a Deeper Look at Pedestrians CVPR 2015 Taming the Wild: A Unified Analysis of Hogwild-Style Algorithms NeurIPS 2015 Teaching Machines to Read and Comprehend NeurIPS 2015 Tensorizing Neural Networks NeurIPS 2015 Tensor principal component analysis via sum-of-square proofs COLT 2015 Texture Synthesis Using Convolutional Neural Networks NeurIPS 2015 The Application of Two-Level Attention Models in Deep Convolutional Neural Network for Fine-Grained Image Classification CVPR 2015