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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 Classification
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
AutoML for 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 for Robust 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.
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 Classification
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
AutoML for 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 for Robust 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.