Preference at First Sight. Fast model selection by limiting SVM training times. Bayesian generalized fused lasso modeling via NEG distribution. Deformably Registering and Annotating Whole CLARITY Brains to an Atlas via Masked LDDMM. Linguistically Regularized LSTMs for Sentiment Classification. Sequential Person Recognition in Photo Albums with a R …

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 …

The Evolution of Sentiment Analysis - A Review of Research Topics, Venues, and Top Cited Papers. Sampling Requirements and Accelerated Schemes for Sparse Linear Regression with Orthogonal Least-Squares. Linguistic Input Features Improve Neural Machine Translation. Topic Modeling over Short Texts by Incorporating Word Embeddings. Very Deep Convoluti …

Scalable Learning of Non-Decomposable Objectives. ViZDoom: A Doom-based AI Research Platform for Visual Reinforcement Learning. Tree-to-Sequence Attentional Neural Machine Translation. Scribbler: Controlling Deep Image Synthesis with Sketch and Color. Temporal Attention-Gated Model for Robust Sequence Classification. Bottleneck Conditional Density …

Multi-level Contextual RNNs with Attention Model for Scene Labeling. Active Sensing of Social Networks. Improving the Accuracy of Stereo Visual Odometry Using Visual Illumination Estimation. Exploiting Facial Landmarks for Emotion Recognition in the Wild. On the Worst-case Communication Overhead for Distributed Data Shuffling. Programming in logic …

Advancing Bayesian Optimization: The Mixed-Global-Local (MGL) Kernel and Length-Scale Cool Down. Quickest Moving Object Detection. Nonparametric Bayesian Topic Modelling with the Hierarchical Pitman-Yor Processes. An Oracle Inequality for Quasi-Bayesian Non-Negative Matrix Factorization. CGMOS: Certainty Guided Minority OverSampling. An Interactive …

No bad local minima: Data independent training error guarantees for multilayer neural networks. Learning Gaussian Graphical Models With Fractional Marginal Pseudo-likelihood. Accelerating Deep Learning with Shrinkage and Recall. Neural Coarse-Graining: Extracting slowly-varying latent degrees of freedom with neural networks. Correct classification …

Proceedings of the 10th SIGHUM Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities. Improved Representation Learning for Question Answer Matching. Entropy Converges Between Dialogue Participants: Explanations from an Information-Theoretic Perspective. Constructing a Norwegian Academic Wordlist. aueb.twitter.sentim …