Neural Networks

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 Towards 3D Object Detection With Bimodal Deep Boltzmann Machines Over RGBD Imagery 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 Visual Representations Using Videos ICCV 2015 Video Super-Resolution via Deep Draft-Ensemble Learning ICCV 2015 Visual Tracking With Fully Convolutional Networks ICCV 2015 Weakly-Supervised Structured Output Learning With Flexible and Latent Graphs Using High-Order Loss Functions ICCV 2015 Wide-Area Image Geolocalization With Aerial Reference Imagery ICCV 2015 A Clockwork RNN ICML 2014 A framework for studying synaptic plasticity with neural spike train data NeurIPS 2014 Analog Memories in a Balanced Rate-Based Network of E-I Neurons NeurIPS 2014 Articulated Pose Estimation by a Graphical Model with Image Dependent Pairwise Relations NeurIPS 2014 Attentional Neural Network: Feature Selection Using Cognitive Feedback NeurIPS 2014 Automatic Feature Learning for Robust Shadow Detection CVPR 2014 Avoiding pathologies in very deep networks AISTATS 2014