Deep Learning

The Poisson Gamma Belief Network NeurIPS 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 TILDE: A Temporally Invariant Learned DEtector CVPR 2015 Towards 3D Object Detection With Bimodal Deep Boltzmann Machines Over RGBD Imagery CVPR 2015 Towards Computational Baby Learning: A Weakly-Supervised Approach for Object Detection ICCV 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 Transferring a Semantic Representation for Person Re-Identification and Search CVPR 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 by Program Synthesis NeurIPS 2015 Unsupervised Learning of Complex Articulated Kinematic Structures Combining Motion and Skeleton Information CVPR 2015 Unsupervised Learning of Spatiotemporally Coherent Metrics ICCV 2015 Unsupervised Learning of Visual Representations Using Videos ICCV 2015 Unsupervised Semantic Parsing of Video Collections ICCV 2015 Unsupervised Visual Alignment With Similarity Graphs CVPR 2015 Variance Reduced Stochastic Gradient Descent with Neighbors NeurIPS 2015 Variational Dropout and the Local Reparameterization Trick NeurIPS 2015 Variational Generative Stochastic Networks with Collaborative Shaping ICML 2015 Variational Inference for Gaussian Process Modulated Poisson Processes ICML 2015