Efficient PAC Learning from the Crowd. Regularizing deep networks using efficient layerwise adversarial training. On the Sample Complexity of the Linear Quadratic Regulator. Data Fusion and Machine Learning Integration for Transformer Loss of Life Estimation. Enhanced Particle Swarm Optimization Algorithms for Multiple-Input Multiple-Output System …

High-Resolution Deep Convolutional Generative Adversarial Networks. Probabilistic programs for inferring the goals of autonomous agents. Receptive Field Block Net for Accurate and Fast Object Detection. Cost-complexity pruning of random forests. Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-tuning. Advers …

Supervised Speech Separation Based on Deep Learning: An Overview. An Empirical Evaluation of Visual Question Answering for Novel Objects. Beyond normality: Learning sparse probabilistic graphical models in the non-Gaussian setting. Inference in Graphical Models via Semidefinite Programming Hierarchies. Comparison of Batch Normalization and Weight N …