Architectures

Spectral Representations for Convolutional Neural Networks NeurIPS 2015 Statistical Model Criticism using Kernel Two Sample Tests NeurIPS 2015 Synaptic Sampling: A Bayesian Approach to Neural Network Plasticity and Rewiring NeurIPS 2015 Taking a Deeper Look at Pedestrians CVPR 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 The Return of the Gating Network: Combining Generative Models and Discriminative Training in Natural Image Priors NeurIPS 2015 The Treasure Beneath Convolutional Layers: Cross-Convolutional-Layer Pooling for Image Classification CVPR 2015 Towards 3D Object Detection With Bimodal Deep Boltzmann Machines Over RGBD Imagery CVPR 2015 Towards Unified Depth and Semantic Prediction From a Single Image CVPR 2015 Training Deep Convolutional Neural Networks to Play Go ICML 2015 Training Restricted Boltzmann Machine via the Thouless-Anderson-Palmer free energy NeurIPS 2015 Training Very Deep Networks NeurIPS 2015 Understanding and Predicting Image Memorability at a Large Scale ICCV 2015 Understanding Deep Features With Computer-Generated Imagery ICCV 2015 Understanding Deep Image Representations by Inverting Them CVPR 2015 Understanding Image Representations by Measuring Their Equivariance and Equivalence CVPR 2015 Unsupervised Learning of Spatiotemporally Coherent Metrics ICCV 2015 Unsupervised Learning of Visual Representations Using Videos ICCV 2015 Video Super-Resolution via Deep Draft-Ensemble Learning ICCV 2015 Viewpoints and Keypoints CVPR 2015 Visalogy: Answering Visual Analogy Questions NeurIPS 2015