Classification of Human Whole-Body Motion using Hidden Markov Models. Superresolution of Noisy Remotely Sensed Images Through Directional Representations. Building a Learning Database for the Neural Network Retrieval of Sea Surface Salinity from SMOS Brightness Temperatures. Performance Trade-Offs in Multi-Processor Approximate Message Passing. Eng …

Convolutional Recurrent Neural Networks for Music Classification. Recurrent Dropout without Memory Loss. Geometric deep learning on graphs and manifolds using mixture model CNNs. Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization. An Efficient Character-Level Neural Machine Translation. NIPS 2016 Tutorial: Generative Adversaria …

Common-Description Learning: A Framework for Learning Algorithms and Generating Subproblems from Few Examples. Correlation Alignment for Unsupervised Domain Adaptation. Understanding deep learning requires rethinking generalization. Deep CORAL: Correlation Alignment for Deep Domain Adaptation. Building a Large Scale Dataset for Image Emotion Recogn …

Squared Earth Mover’s Distance-based Loss for Training Deep Neural Networks. LIFT: Learned Invariant Feature Transform. Wide & Deep Learning for Recommender Systems. Face Detection with End-to-End Integration of a ConvNet and a 3D Model. Evaluation of a Tree-based Pipeline Optimization Tool for Automating Data Science. Improving the Neural Algorith …

Discriminating sample groups with multi-way data. A Generic Inverted Index Framework for Similarity Search on the GPU - Technical Report. Fast Supervised Discrete Hashing and its Analysis. NFL Play Prediction. Multi-task Prediction of Disease Onsets from Longitudinal Lab Tests. Wasserstein Discriminant Analysis. A Study of MatchPyramid Models on Ad …

Unsupervised Learning of Important Objects from First-Person Videos. Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change. Hyperparameter optimization with approximate gradient. Learning Typographic Style. openXBOW - Introducing the Passau Open-Source Crossmodal Bag-of-Words Toolkit. Minimax Filter: Learning to Preserve Privacy fro …

Neural Networks with Manifold Learning for Diabetic Retinopathy Detection. On the Complexity of Constrained Determinantal Point Processes. Square Hellinger Subadditivity for Bayesian Networks and its Applications to Identity Testing. Distributed Multi-Task Learning with Shared Representation. Retrieving challenging vessel connections in retinal ima …

Completely random measures for modeling power laws in sparse graphs. Resolution- and throughput-enhanced spectroscopy using high-throughput computational slit. Question Answering via Integer Programming over Semi-Structured Knowledge. Robust end-to-end deep audiovisual speech recognition. Deep Transfer Learning with Joint Adaptation Networks. Fast …

Interactive Attention for Neural Machine Translation. Recursive Neural Conditional Random Fields for Aspect-based Sentiment Analysis. Comparison of Optimization Methods in Optical Flow Estimation. A Class of Parallel Doubly Stochastic Algorithms for Large-Scale Learning. Quantile Reinforcement Learning. Binary Paragraph Vectors. Learning to Navigat …

Multimodal Semantic Simulations of Linguistically Underspecified Motion Events. On Optimality Conditions for Auto-Encoder Signal Recovery. Bayesian Hyperparameter Optimization for Ensemble Learning. Competitive analysis of the top-K ranking problem. End-to-End Neural Sentence Ordering Using Pointer Network. A Novel Representation of Neural Networks …

Symmetric Patterns and Coordinations: Fast and Enhanced Representations of Verbs and Adjectives. A Tangled Web: The Faint Signals of Deception in Text - Boulder Lies and Truth Corpus (BLT-C). Corpus Analysis based on Structural Phenomena in Texts: Exploiting TEI Encoding for Linguistic Research. Tools and Instruments for Building and Querying Diach …

Measuring Semantic Similarity of Words Using Concept Networks. CoNLL 2016 Shared Task on Multilingual Shallow Discourse Parsing. MMFeat: A Toolkit for Extracting Multi-Modal Features. Dealing with Out-Of-Vocabulary Problem in Sentence Alignment Using Word Similarity. GAP Safe Screening Rules for Sparse-Group Lasso. Binary Pattern Dictionary Learnin …

When Hyperparameters Help: Beneficial Parameter Combinations in Distributional Semantic Models. Using TEI for textbook research. DocChat: An Information Retrieval Approach for Chatbot Engines Using Unstructured Documents. Morphological reinflection with conditional random fields and unsupervised features. Deconvolving Feedback Loops in Recommender …