Understanding the 2016 US Presidential Election using ecological inference and distribution regression with census microdata. Coordination Annotation Extension in the Penn Tree Bank. Facial Expression Recognition using Convolutional Neural Networks: State of the Art. Entropic Causal Inference. Unsupervised Monocular Depth Estimation with Left-Right …

A Mathematical Formalization of Hierarchical Temporal Memory’s Spatial Pooler. Specific Differential Entropy Rate Estimation for Continuous-Valued Time Series. Benchmarking Deep Reinforcement Learning for Continuous Control. RNN Approaches to Text Normalization: A Challenge. Towards Viewpoint Invariant 3D Human Pose Estimation. A budget-constrained …

Assessing the Ability of LSTMs to Learn Syntax-Sensitive Dependencies. TGIF: A New Dataset and Benchmark on Animated GIF Description. Video Description using Bidirectional Recurrent Neural Networks. High-Dimensional Regularized Discriminant Analysis. MusicMood: Predicting the mood of music from song lyrics using machine learning. Improved Technique …

Generalized optimal sub-pattern assignment metric. A Decomposable Attention Model for Natural Language Inference. Deep Video Deblurring. A Deep Learning Approach to Block-based Compressed Sensing of Images. A Parallel-Hierarchical Model for Machine Comprehension on Sparse Data. Text Classification Improved by Integrating Bidirectional LSTM with Two …

Early Methods for Detecting Adversarial Images. FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks. Unrolled Generative Adversarial Networks. A Neural Approach to Blind Motion Deblurring. YouTube-8M: A Large-Scale Video Classification Benchmark. Deep Reinforcement Learning Radio Control and Signal Detection with KeRLym, a Gym RL A …

Neural Combinatorial Optimization with Reinforcement Learning. Deep Learning and Its Applications to Machine Health Monitoring: A Survey. Local Subspace-Based Outlier Detection using Global Neighbourhoods. Modeling cognitive deficits following neurodegenerative diseases and traumatic brain injuries with deep convolutional neural networks. SIFT Meet …

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 …

End-to-End Training of Hybrid CNN-CRF Models for Stereo. Modular Multitask Reinforcement Learning with Policy Sketches. Contextual Relationship-based Activity Segmentation on an Event Stream in the IoT Environment with Multi-user Activities. Finding Significant Fourier Coefficients: Clarifications, Simplifications, Applications and Limitations. Gen …