The Compressed Model of Residual CNDS. On the organization of grid and place cells: Neural de-noising via subspace learning. Apprentice: Using Knowledge Distillation Techniques To Improve Low-Precision Network Accuracy. A Survey of Model Compression and Acceleration for Deep Neural Networks. Texture Fuzzy Segmentation using Skew Divergence Adaptive …

Massive Open Online Courses Temporal Profiling for Dropout Prediction. Mining Process Model Descriptions of Daily Life through Event Abstraction. Interpretable Learning for Self-Driving Cars by Visualizing Causal Attention. Top-Rank Enhanced Listwise Optimization for Statistical Machine Translation. Scalable Recollections for Continual Lifelong Lea …

Discovering Playing Patterns: Time Series Clustering of Free-To-Play Game Data. Multilingual Speech Recognition With A Single End-To-End Model. Occlusion Aware Unsupervised Learning of Optical Flow. UsingWord Embedding for Cross-Language Plagiarism Detection. Iterative Spectral Clustering for Unsupervised Object Localization. Deep Fault Analysis an …