Adaptation to criticality through organizational invariance in embodied agents. Model-Free Renewable Scenario Generation Using Generative Adversarial Networks. Paraphrasing verbal metonymy through computational methods. Multi-Context Attention for Human Pose Estimation. Real-time deep hair matting on mobile devices. Information-Flow Matting. Integr …

Automatic skin lesion segmentation with fully convolutional-deconvolutional networks. Every Untrue Label is Untrue in its Own Way: Controlling Error Type with the Log Bilinear Loss. Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer. Query-by-Example Search with Discriminative Neural Acoustic Word Embeddings. Incorporat …

Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models. Data Selection Strategies for Multi-Domain Sentiment Analysis. Real-Time Machine Learning: The Missing Pieces. Style Transfer in Text: Exploration and Evaluation. Beyond Bilinear: Generalized Multimodal Factorized High-order Pooling for Visual Question Answering. …

Balancing Novelty and Salience: Adaptive Learning to Rank Entities for Timeline Summarization of High-impact Events. On the Power of Truncated SVD for General High-rank Matrix Estimation Problems. Learning Semantic Correspondences in Technical Documentation. Analysis of Thompson Sampling for Gaussian Process Optimization in the Bandit Setting. Crim …

Linear Regression with Shuffled Labels. “I know it when I see it”. Visualization and Intuitive Interpretability. Sliced Wasserstein Kernel for Persistence Diagrams. Normalized Total Gradient: A New Measure for Multispectral Image Registration. Employing Weak Annotations for Medical Image Analysis Problems. Disentangling group and link persistence i …

Distribution-Preserving k-Anonymity. Persistent homology machine learning for fingerprint classification. Computing LPMLN Using ASP and MLN Solvers. Curriculum Learning for Multi-Task Classification of Visual Attributes. Winqi: A System for 6D Localization and SLAM Augmentation Using Wideangle Optics and Coded Light Beacons. Art of singular vectors …

Area Protection in Adversarial Path-Finding Scenarios with Multiple Mobile Agents on Graphs: a theoretical and experimental study of target-allocation strategies for defense coordination. Stochastic Graphlet Embedding. Molecular Generation with Recurrent Neural Networks (RNNs). Real-time Egocentric Gesture Recognition on Mobile Head Mounted Display …

Using Deep Neural Networks to Automate Large Scale Statistical Analysis for Big Data Applications. Persistence Flamelets: multiscale Persistent Homology for kernel density exploration. Quantitative Analysis of Automatic Image Cropping Algorithms: A Dataset and Comparative Study. Fast single image super-resolution based on sigmoid transformation. Co …

Online Convex Optimization with Stochastic Constraints. ADA: A Game-Theoretic Perspective on Data Augmentation for Object Detection. Predicting Auction Price of Vehicle License Plate with Deep Recurrent Neural Network. Abstract Syntax Networks for Code Generation and Semantic Parsing. DeepFeat: A Bottom Up and Top Down Saliency Model Based on Deep …

Optimizing Human Learning. Modeling Multimodal Clues in a Hybrid Deep Learning Framework for Video Classification. Fast Predictive Simple Geodesic Regression. Improving LBP and its variants using anisotropic diffusion. Visual Explanations from Hadamard Product in Multimodal Deep Networks. KNN Ensembles for Tweedie Regression: The Power of Multiscal …