Stacked Approximated Regression Machine: A Simple Deep Learning Approach. 4D Crop Monitoring: Spatio-Temporal Reconstruction for Agriculture. Online Contrastive Divergence with Generative Replay: Experience Replay without Storing Data. Combining Texture and Shape Cues for Object Recognition With Minimal Supervision. Multipartite Ranking-Selection o …

A Comparison Study of Nonlinear Kernels. Exploiting N-Best Hypotheses to Improve an SMT Approach to Grammatical Error Correction. Spectral learning of dynamic systems from nonequilibrium data. Multi-resource defensive strategies for patrolling games with alarm systems. Fair Algorithms for Infinite and Contextual Bandits. From line segments to more …

Transport Analysis of Infinitely Deep Neural Network. A Hackathon for Classical Tibetan. Mahalanobis Distance for Class Averaging of Cryo-EM Images. Fractional Order Load-Frequency Control of Interconnected Power Systems Using Chaotic Multi-objective Optimization. Identifying Candidate Risk Factors for Prescription Drug Side Effects using Causal Co …

Iterative Judgment Aggregation. The geometry of learning. Comparing Convolutional Neural Networks to Traditional Models for Slot Filling. Group Sparse Regularization for Deep Neural Networks. An Adaptive Psychoacoustic Model for Automatic Speech Recognition. Multi-Way, Multilingual Neural Machine Translation with a Shared Attention Mechanism. Direc …

On Support Relations and Semantic Scene Graphs. The MGB-2 Challenge: Arabic Multi-Dialect Broadcast Media Recognition. Matrix Variate RBM and Its Applications. Knowledge Distillation for Small-footprint Highway Networks. Bending the Curve: Improving the ROC Curve Through Error Redistribution. Copeland Dueling Bandit Problem: Regret Lower Bound, Opt …