Blind Deconvolution of PET Images using Anatomical Priors. Field-Programmable Crossbar Array (FPCA) for Reconfigurable Computing. Robust nonparametric nearest neighbor random process clustering. Similarity Learning for Time Series Classification. PIGMIL: Positive Instance Detection via Graph Updating for Multiple Instance Learning. Multiple Instanc …

MARLow: A Joint Multiplanar Autoregressive and Low-Rank Approach for Image Completion. ShapeFit and ShapeKick for Robust, Scalable Structure from Motion. Panoptic Studio: A Massively Multiview System for Social Interaction Capture. Stack-propagation: Improved Representation Learning for Syntax. A Reinforcement Learning System to Encourage Physical …

Variational Neural Machine Translation. Improving Reliability of Word Similarity Evaluation by Redesigning Annotation Task and Performance Measure. GPU-accelerated real-time stixel computation. Using Discourse Signals for Robust Instructor Intervention Prediction. Slack and Margin Rescaling as Convex Extensions of Supermodular Functions. Single-Cha …

Discrete Variational Autoencoders. Unified Depth Prediction and Intrinsic Image Decomposition from a Single Image via Joint Convolutional Neural Fields. Off-policy evaluation for slate recommendation. DisturbLabel: Regularizing CNN on the Loss Layer. Superpixel Segmentation Using Gaussian Mixture Model. Knowledge Elicitation via Sequential Probabil …

Early Visual Concept Learning with Unsupervised Deep Learning. Image-to-Image Translation with Conditional Adversarial Networks. Towards Evaluating the Robustness of Neural Networks. Learning to reinforcement learn. Random Walk Models of Network Formation and Sequential Monte Carlo Methods for Graphs. SoundNet: Learning Sound Representations from U …

Variational Bayesian Inference for Hidden Markov Models With Multivariate Gaussian Output Distributions. On the Theory and Practice of Privacy-Preserving Bayesian Data Analysis. Proceedings of the Workshop on Brain Analysis using COnnectivity Networks - BACON 2016. Deep Image Category Discovery using a Transferred Similarity Function. Enabling Medi …

Local Minimax Complexity of Stochastic Convex Optimization. Distributed Processing of Biosignal-Database for Emotion Recognition with Mahout. Automatic Extraction of Causal Relations from Natural Language Texts: A Comprehensive Survey. Hybrid CPU-GPU Framework for Network Motifs. Optimal Binary Autoencoding with Pairwise Correlations. Multi-task an …

Screen Content Image Segmentation Using Sparse Decomposition and Total Variation Minimization. Secure Approximation Guarantee for Cryptographically Private Empirical Risk Minimization. A Benchmark and Comparison of Active Learning for Logistic Regression. Convex Formulation for Kernel PCA and its Use in Semi-Supervised Learning. Harmonic Networks: …

Semi-supervised Zero-Shot Learning by a Clustering-based Approach. Generative Image Modeling using Style and Structure Adversarial Networks. Variational Lossy Autoencoder. Semi-supervised Learning using Denoising Autoencoders for Brain Lesion Detection and Segmentation. Temporally Robust Global Motion Compensation by Keypoint-based Congealing. Extr …

Community Structure in Industrial SAT Instances. Self-calibrating Neural Networks for Dimensionality Reduction. Toward Organic Computing Approach for Cybernetic Responsive Environment. Self-Supervised Video Representation Learning With Odd-One-Out Networks. A Semi-Markov Switching Linear Gaussian Model for Censored Physiological Data. Sort Story: S …

Multi-stage Object Detection with Group Recursive Learning. Multi-Information Source Optimization. A Critical Examination of RESCAL for Completion of Knowledge Bases with Transitive Relations. A Bayesian approach to type-specific conic fitting. Context and Interference Effects in the Combinations of Natural Concepts. 1.5 billion words Arabic Corpus …