The Complexity of Bayesian Networks Specified by Propositional and Relational Languages. Engineering Safety in Machine Learning. Accelerated Gradient Temporal Difference Learning. Poisson Random Fields for Dynamic Feature Models. Hitting times of local and global optima in genetic algorithms with very high selection pressure. Recovering Multiple No …

Importance Sampling with Unequal Support. Empath: Understanding Topic Signals in Large-Scale Text. Information Theoretic-Learning Auto-Encoder. Discovering Latent States for Model Learning: Applying Sensorimotor Contingencies Theory and Predictive Processing to Model Context. Using Recurrent Neural Networks to Optimize Dynamical Decoupling for Quan …

Tracking System to Automate Data Collection of Microscopic Pedestrian Traffic Flow. A propagation matting method based on the Local Sampling and KNN Classification with adaptive feature space. Joint Sensing Matrix and Sparsifying Dictionary Optimization for Tensor Compressive Sensing. Machine Learning in Falls Prediction; A cognition-based predicto …

A Deep Learning Approach to Unsupervised Ensemble Learning. Deep Feature Flow for Video Recognition. Memory-augmented Attention Modelling for Videos. Flood-Filling Networks. Cross-stitch Networks for Multi-task Learning. Semantic Understanding of Scenes through the ADE20K Dataset. Supervision via Competition: Robot Adversaries for Learning Tasks. I …

Concrete Problems in AI Safety. 3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction. Straight to Shapes: Real-time Detection of Encoded Shapes. A Convolutional Attention Network for Extreme Summarization of Source Code. NTU RGB+D: A Large Scale Dataset for 3D Human Activity Analysis. Optical Flow Requires Multiple Strateg …

Robust and Sparse Regression via $γ$-divergence. Genetic Architect: Discovering Genomic Structure with Learned Neural Architectures. Improving Fully Convolution Network for Semantic Segmentation. RGB-D-based Action Recognition Datasets: A Survey. Statistics of Robust Optimization: A Generalized Empirical Likelihood Approach. A Perspective on Sentim …

Hybrid clustering-classification neural network in the medical diagnostics of reactive arthritis. Corralling a Band of Bandit Algorithms. Semi-supervised Word Sense Disambiguation with Neural Models. Autonomous driving challenge: To Infer the property of a dynamic object based on its motion pattern using recurrent neural network. A Predictive Model …

On the Semantic Relationship between Probabilistic Soft Logic and Markov Logic. Sampling Method for Fast Training of Support Vector Data Description. A Model of Virtual Carrier Immigration in Digital Images for Region Segmentation. The Symmetry of a Simple Optimization Problem in Lasso Screening. Kernel-based Generative Learning in Distortion Featu …

A General Optimization Framework for Multi-Document Summarization Using Genetic Algorithms and Swarm Intelligence. Improve Chinese Word Embeddings by Exploiting Internal Structure. Adding Semantic Relations to a Large-Coverage Connective Lexicon of German. Learning Word Importance with the Neural Bag-of-Words Model. Collecting Resources in Sub-Saha …