Neural Information Processing

Semantic and Graph Based Approaches.- GL2vec: Graph Embedding Enriched by Line graphs with Edge Features.- Joint Semantic Hashing using Deep Supervised and Unsupervised Methods.- Label-Based Deep Semantic Hashing for Cross-Modal Retrieval.- HRec: Heterogeneous Graph Embedding-Based Personalized Point-of-Interest Recommendation.- Embedding and Predicting Software Security Entity Relationships: A Knowledge Graph Based Approach.- SACIC: A Semantics-aware Convolutional Image Captioner using Multi-Level Pervasive Attention.- One Analog Neuron Cannot Recognize Deterministic Context-Free Languages.- Tag-based Semantic Features for Scene Image Classi?cation.- Integrating TM Knowledge into NMT with Double Chain Graph.- Learning Transferable Policies with Improved Graph Neural Networks on Serial Robotic Structure.- Visualizing Readable Instance Graphs of Ontology with Memo Graph.- Spiking Neuron and Related Models.- Hippocampus Segmentation in MRI Using Side U-Net Model.- AutoMLfor DenseNet Compression.- Mechanisms of Reward-Modulated STDP and Winner-Take-All in Bayesian Spiking Decision-Making Circuit.- Homeostasis-based CNN-to-SNN Conversion of Inception and Residual Architectures.- Training Large-Scale Spiking Neural Networks on Multi-core Neuromorphic System Using Backpropagation.- Deep learning of EEG Data in the NeuCube Brain-inspired Spiking Neutral Network Architecture for a Better Understanding of Depression.- Text Computing Using Neural Techniques.- Watch and Ask: Video Question Generation.- Multi-Perspective Denoising Reader for Multi-Paragraph Reading Comprehension.- Models in the Wild: On Corruption Robustness of Neural NLP Systems.- Hie-Transformer: A Hierarchical Hybrid Transformer for Abstractive Article Summarization.- Target-Based Attention Model for Aspect-Level Sentiment Analysis.- Keyphrase Generation with Word Attention.- Dynamic Neural Language Models.- A Fast Convolutional Self-attention Based Speech Dereverberation Method forRobust Speech Recognition.- Option Attentive Capsule Network for Multi-choice Reading Comprehension.- Exploring and Identifying Malicious Sites in Dark Web Using Machine Learning.- Paragraph-Level Hierarchical Neural Machine Translation.- Residual Connection-based Multi-step Reasoning via Commonsense Knowledge for Multiple Choice Machine Reading Comprehension.- Zero-Shot Transfer Learning Based on Visual and Textual Resemblance.- Morphological Knowledge Guided Mongolian Constituent Parsing.- BERT based Hierarchical Sequence Classification for Context-aware Microblog Sentiment Analysis.- Topic Aware Context Modelling for Conversation Response Generation.- What a Dialogue! A Deep Neural Framework for Contextual Affect Detection.- Improving student forum responsiveness: Detecting Duplicate Questions in Educational Forums.- Time-series and Related Models.- On Probability Calibration of Recurrent Text Recognition Network.- On the Hermite Series-Based Generalized Regression Neural Networks for Stream Data Mining.- Deep Hybrid Spatiotemporal networks for Continuous Pain Intensity Estimation.- Sales Demand Forecast in E-commerce using a Long Short-Term Memory Neural Network Methodology.- Deep Point-wise Prediction for Action Temporal Proposal.- Real-time Financial Data Prediction Using Meta-cognitive Recurrent Kernel Online Sequential Extreme Learning Machine.- Deep Spatial-Temporal Field for Human Head Orientation Estimation.- Prediction-Coherent LSTM-based Recurrent Neural Network for Safer Glucose Predictions in Diabetic People.- Teacher-Student Learning and Post-Processing for Robust BiLSTM Mask-Based Acoustic Beamforming.- Maxout into MDLSTM for offline Arabic handwriting recognition.- Unsupervised Neural Models.- Unsupervised Feature Selection Based on Matrix Factorization with Redundancy Minimization.- Distance estimation for Quantum Prototypes based Clustering.- Accelerating Bag-of-Words with SOM.- A Deep Clustering-Guide Learning for Unsupervised Person Re-identification.- Semi-Supervised Deep Learning Using Unsupervised Discriminant Projection.- Unsupervised pre-training of the brain connectivity dynamic using residual D-net.- Clustering Ensemble Selection with Determinantal Point Processes.- Generative Histogram-based Model using Unsupervised Learning.