A Gated Peripheral-Foveal Convolutional Neural Network for Unified Image Aesthetic Prediction. Clipping free attacks against artificial neural networks. Recurrent Neural Network Attention Mechanisms for Interpretable System Log Anomaly Detection. Adaptive Monte-Carlo Optimization. Cardiopulmonary resuscitation quality parameters from motion capture …

Real-valued parametric conditioning of an RNN for interactive sound synthesis. Online Learning Algorithms for Statistical Arbitrage. Generalized Logical Operations among Conditional Events. Waveform to Single Sinusoid Regression to Estimate the F0 Contour from Noisy Speech Using Recurrent Deep Neural Networks. A Review on The Use of Deep Learning i …

Deep Meta-Learning: Learning to Learn in the Concept Space. Loss Aversion in Recommender Systems: Utilizing Negative User Preference to Improve Recommendation Quality. On the Effectiveness of System API-Related Information for Android Ransomware Detection. Exploiting Effective Representations for Chinese Sentiment Analysis Using a Multi-Channel Con …

Learning-Based Dequantization For Image Restoration Against Extremely Poor Illumination. On the Relationship between Data Efficiency and Error for Uncertainty Sampling. End-to-End Learning of Driving Models with Surround-View Cameras and Route Planners. A simple blind-denoising filter inspired by electrically coupled photoreceptors in the retina. O …

A short review on Applications of Deep learning for Cyber security. Comparison of Deep Learning Approaches for Multi-Label Chest X-Ray Classification. Process Monitoring Using Maximum Sequence Divergence. Prior Knowledge Integration for Neural Machine Translation using Posterior Regularization. Bayesian Optimization Using Monotonicity Information a …