Parameter Sharing Methods for Multilingual Self-Attentional Translation Models. Neural Networks Regularization Through Representation Learning. Structured Adversarial Attack: Towards General Implementation and Better Interpretability. Breaking the Curse of Horizon: Infinite-Horizon Off-Policy Estimation. Sequential Preference-Based Optimization. Au …

MicronNet: A Highly Compact Deep Convolutional Neural Network Architecture for Real-time Embedded Traffic Sign Classification. GaitSet: Regarding Gait as a Set for Cross-View Gait Recognition. Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach. Weakly Supervised Silhouette-based Semantic Scene Change Detection. Finite-Da …

Towards Machine Learning-Based Optimal HAS. Deep Semantic Segmentation in an AUV for Online Posidonia Oceanica Meadows identification. NL2Bash: A Corpus and Semantic Parser for Natural Language Interface to the Linux Operating System. Higher-order Coreference Resolution with Coarse-to-fine Inference. Generating Adaptive and Robust Filter Sets Using …

DetNet: A Backbone network for Object Detection. Deep Bayesian Self-Training. Double Path Networks for Sequence to Sequence Learning. Submodular Hypergraphs: p-Laplacians, Cheeger Inequalities and Spectral Clustering. Real-world Anomaly Detection in Surveillance Videos. BRUNO: A Deep Recurrent Model for Exchangeable Data. Generating Informative and …

Explaining First Impressions: Modeling, Recognizing, and Explaining Apparent Personality from Videos. The Variational Deficiency Bottleneck. A Deep Error Correction Network for Compressed Sensing MRI. Regional Priority Based Anomaly Detection using Autoencoders. Network Enhancement: a general method to denoise weighted biological networks. Dynamic …

Multi-Temporal Land Cover Classification with Sequential Recurrent Encoders. Simulated Autonomous Driving in a Realistic Driving Environment using Deep Reinforcement Learning and a Deterministic Finite State Machine. Deep Learning Model for Finding New Superconductors. A Method for Restoring the Training Set Distribution in an Image Classifier. Sec …

Adaptive Pruning of Neural Language Models for Mobile Devices. Splitting Epistemic Logic Programs. Uniform regret bounds over $R^d$ for the sequential linear regression problem with the square loss. Unsupervised Pseudo-Labeling for Extractive Summarization on Electronic Health Records. Algorithms for screening of Cervical Cancer: A chronological re …

Compositional GAN: Learning Image-Conditional Binary Composition. Surrogate Model Assisted Cooperative Coevolution for Large Scale Optimization. Importance of the Mathematical Foundations of Machine Learning Methods for Scientific and Engineering Applications. Rogue Signs: Deceiving Traffic Sign Recognition with Malicious Ads and Logos. Depth and n …

High SNR Consistent Compressive Sensing Without Signal and Noise Statistics. Analyzing and Interpreting Convolutional Neural Networks in NLP. DSNet: Deep and Shallow Feature Learning for Efficient Visual Tracking. Question Answering over Freebase via Attentive RNN with Similarity Matrix based CNN. Underwater Fish Species Classification using Convol …

Unsupervised Image Decomposition in Vector Layers. Efficient Traffic-Sign Recognition with Scale-aware CNN. Features of word similarity. Stochastic model-based minimization of weakly convex functions. Hierarchical multi-class segmentation of glioma images using networks with multi-level activation function. Sequential Embedding Induced Text Cluster …

Automatic 3D bi-ventricular segmentation of cardiac images by a shape-refined multi-task deep learning approach. A volumetric deep Convolutional Neural Network for simulation of mock dark matter halo catalogues. Iris and periocular recognition in arabian race horses using deep convolutional neural networks. Recommendation System based on Semantic S …