Deep Learning

DeepStereo: Learning to Predict New Views From the World's Imagery CVPR 2016 Deep Structured Energy Based Models for Anomaly Detection ICML 2016 Deep Structured Scene Parsing by Learning With Image Descriptions CVPR 2016 Deep Submodular Functions: Definitions and Learning NeurIPS 2016 Deep Supervised Hashing for Fast Image Retrieval CVPR 2016 DeLay: Robust Spatial Layout Estimation for Cluttered Indoor Scenes CVPR 2016 Dense Associative Memory for Pattern Recognition NeurIPS 2016 DenseCap: Fully Convolutional Localization Networks for Dense Captioning CVPR 2016 Dense Human Body Correspondences Using Convolutional Networks CVPR 2016 Detecting Context Dependent Messages in a Conversational Environment COLING 2016 Detecting Events and Key Actors in Multi-Person Videos CVPR 2016 Detecting Sentence Boundaries in Sanskrit Texts COLING 2016 Detecting Vanishing Points Using Global Image Context in a Non-Manhattan World CVPR 2016 Determining Native Language and Deception Using Phonetic Features and Classifier Combination Interspeech 2016 D-GloVe: A Feasible Least Squares Model for Estimating Word Embedding Densities COLING 2016 DHSNet: Deep Hierarchical Saliency Network for Salient Object Detection CVPR 2016 Dialogue Act Classification in Domain-Independent Conversations Using a Deep Recurrent Neural Network COLING 2016 Dictionary Pair Classifier Driven Convolutional Neural Networks for Object Detection CVPR 2016 Different Contexts Lead to Different Word Embeddings COLING 2016 Diffusion-Convolutional Neural Networks NeurIPS 2016 Digitala: An Augmented Test and Review Process Prototype for High-Stakes Spoken Foreign Language Examination Interspeech 2016 Directly Modeling Missing Data in Sequences with RNNs: Improved Classification of Clinical Time Series MLHC 2016 Discrete Deep Feature Extraction: A Theory and New Architectures ICML 2016 Discriminative Embeddings of Latent Variable Models for Structured Data ICML 2016 Discriminative Multi-Modal Feature Fusion for RGBD Indoor Scene Recognition CVPR 2016