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Representation learning
SageDy: A Novel Sampling and Aggregating based Representation Learning Approach for Dynamic Networks
CuRL: Coupled Representation Learning of cards and merchants to detect transaction frauds
Revisiting Loss Functions for Person Re-Identification
Statistical Characteristics of Deep Representations: An Empirical Investigation
Reservoir computing
Unsupervised Pretraining of Echo State Networks for Onset Detection
Canary Song Decoder: Transduction and Implicit Segmentation with ESNs and LTSMs
Which Hype for my New Task? Hints and Random Search for Echo State Networks Hyperparameters
Semi- and Unsupervised learning
A new Nearest Neighbor Median Shift Clustering for Binary Data
Self-supervised Multi-view Clustering for Unsupervised Image Segmentation
Evaluate Pseudo Labeling and CNN for multi-variate time series classification in low-data regimes
Deep Variational Autoencoder with Shallow Parallel Path for Top-N Recommendation (VASP)
Short Text Clustering with A Deep Multi-Embedded Self-Supervised Model
Brain-like approaches to unsupervised learning of hidden representations
a comparative study
Spiking neural networks
A Subthreshold Spiking Neuron Circuit Based on the Izhikevich Model
SiamSNN: Siamese Spiking Neural Networks for Energy-Efficient Object Tracking
The principle of weight divergence facilitation for unsupervised pattern recognition in spiking neural networks
Algorithm For 3D-Chemotaxis Using Spiking Neural Network
Signal Denoising with Recurrent Spiking Neural Networks and Active Tuning
Dynamic Action Inference with Recurrent Spiking Neural Networks
End-to-end Spiking Neural Network for Speech Recognition Using Resonating Input Neurons
Text understanding I
Visual-Textual Semantic Alignment Network for Visual Question Answering
Which and Where to Focus: A Simple yet Accurate Framework for Arbitrary-Shaped Nearby Text Detection in Scene Images
STCP: An Efficient Model Combing Subject Triples and Constituency Parsing for Recognizing Textual Entailment
A Latent Variable Model with Hierarchical structure and GPT-2 for long text generation
A Scoring Model Assisted by Frequency for Multi-Document Summarization
A Strategy for Referential Problem in Low-Resource Neural Machine Translation
A Unified Summarization Model with Semantic Guide and Keyword Coverage Mechanism
Hierarchical Lexicon Embedding Architecture for Chinese Named Entity Recognition
Evidence Augment for Multiple-Choice Machine Reading Comprehension by Weak Supervision
Resolving Ambiguity in Hedge Detection by Automatic Generation of Linguistic Rules
Text understanding II
Detecting Scarce Emotions Using BERT and Hyperparameter Optimization
Design and Evaluation of Deep Learning Models for Real-Time Credibility Assessment in Twitter
T-Bert: A Spam Review Detection Model Combining Group Intelligence and Personalized Sentiment Information
Graph Enhanced BERT for Stance-aware Rumor Verification on Social Media
Deep Learning for Suicide and Depression Identification with Unsupervised Label Correction
Learning to Remove: Towards Isotropic Pre-trained BERT Embedding
ExBERT: An External Knowledge Enhanced BERT for Natural Language Inference
Multi-Features-Based Automatic Clinical Coding for Chinese ICD-9-CM-3
Style as Sentiment versus Style as Formality: the same or different?
Transfer and meta learning
Low-resource Neural Machine Translation Using XLNet Pre-training Model
Self-Learning for Received Signal Strength MapReconstruction with Neural Architecture Search
Propagation-aware Social Recommendation by Transfer Learning
Evaluation of Transfer Learning for Visual Road Condition Assessment
EPE-NAS: Efficient Performance Estimation Without Training for Neural Architecture Search
DVAMN: Dual Visual Attention Matching Network for Zero-Shot Action Recognition
Dynamic Tuning and Weighting of Meta-Learning for NMT Domain Adaptation
Improving Transfer Learning in Unsupervised Language Adaptation
Sample-Label View Transfer Active Learning for Time Series Classification
Video processing
Learning Traffic as Videos: A Spatio-Temporal VAE Approach for Traffic Data Imputation
Traffic Camera Calibration via Vehicle Vanishing Point Detection
Efficient Spatio-Temporal Network with Gated Fusion for Video Super-Resolution
Adaptive Correlation Filters Feature Fusion Learning for Visual Tracking
Dense video captioning for incomplete videos
Modeling Context-guided Visual and Linguistic Semantic Feature for Video Captioning.
SageDy: A Novel Sampling and Aggregating based Representation Learning Approach for Dynamic Networks
CuRL: Coupled Representation Learning of cards and merchants to detect transaction frauds
Revisiting Loss Functions for Person Re-Identification
Statistical Characteristics of Deep Representations: An Empirical Investigation
Reservoir computing
Unsupervised Pretraining of Echo State Networks for Onset Detection
Canary Song Decoder: Transduction and Implicit Segmentation with ESNs and LTSMs
Which Hype for my New Task? Hints and Random Search for Echo State Networks Hyperparameters
Semi- and Unsupervised learning
A new Nearest Neighbor Median Shift Clustering for Binary Data
Self-supervised Multi-view Clustering for Unsupervised Image Segmentation
Evaluate Pseudo Labeling and CNN for multi-variate time series classification in low-data regimes
Deep Variational Autoencoder with Shallow Parallel Path for Top-N Recommendation (VASP)
Short Text Clustering with A Deep Multi-Embedded Self-Supervised Model
Brain-like approaches to unsupervised learning of hidden representations
a comparative study
Spiking neural networks
A Subthreshold Spiking Neuron Circuit Based on the Izhikevich Model
SiamSNN: Siamese Spiking Neural Networks for Energy-Efficient Object Tracking
The principle of weight divergence facilitation for unsupervised pattern recognition in spiking neural networks
Algorithm For 3D-Chemotaxis Using Spiking Neural Network
Signal Denoising with Recurrent Spiking Neural Networks and Active Tuning
Dynamic Action Inference with Recurrent Spiking Neural Networks
End-to-end Spiking Neural Network for Speech Recognition Using Resonating Input Neurons
Text understanding I
Visual-Textual Semantic Alignment Network for Visual Question Answering
Which and Where to Focus: A Simple yet Accurate Framework for Arbitrary-Shaped Nearby Text Detection in Scene Images
STCP: An Efficient Model Combing Subject Triples and Constituency Parsing for Recognizing Textual Entailment
A Latent Variable Model with Hierarchical structure and GPT-2 for long text generation
A Scoring Model Assisted by Frequency for Multi-Document Summarization
A Strategy for Referential Problem in Low-Resource Neural Machine Translation
A Unified Summarization Model with Semantic Guide and Keyword Coverage Mechanism
Hierarchical Lexicon Embedding Architecture for Chinese Named Entity Recognition
Evidence Augment for Multiple-Choice Machine Reading Comprehension by Weak Supervision
Resolving Ambiguity in Hedge Detection by Automatic Generation of Linguistic Rules
Text understanding II
Detecting Scarce Emotions Using BERT and Hyperparameter Optimization
Design and Evaluation of Deep Learning Models for Real-Time Credibility Assessment in Twitter
T-Bert: A Spam Review Detection Model Combining Group Intelligence and Personalized Sentiment Information
Graph Enhanced BERT for Stance-aware Rumor Verification on Social Media
Deep Learning for Suicide and Depression Identification with Unsupervised Label Correction
Learning to Remove: Towards Isotropic Pre-trained BERT Embedding
ExBERT: An External Knowledge Enhanced BERT for Natural Language Inference
Multi-Features-Based Automatic Clinical Coding for Chinese ICD-9-CM-3
Style as Sentiment versus Style as Formality: the same or different?
Transfer and meta learning
Low-resource Neural Machine Translation Using XLNet Pre-training Model
Self-Learning for Received Signal Strength MapReconstruction with Neural Architecture Search
Propagation-aware Social Recommendation by Transfer Learning
Evaluation of Transfer Learning for Visual Road Condition Assessment
EPE-NAS: Efficient Performance Estimation Without Training for Neural Architecture Search
DVAMN: Dual Visual Attention Matching Network for Zero-Shot Action Recognition
Dynamic Tuning and Weighting of Meta-Learning for NMT Domain Adaptation
Improving Transfer Learning in Unsupervised Language Adaptation
Sample-Label View Transfer Active Learning for Time Series Classification
Video processing
Learning Traffic as Videos: A Spatio-Temporal VAE Approach for Traffic Data Imputation
Traffic Camera Calibration via Vehicle Vanishing Point Detection
Efficient Spatio-Temporal Network with Gated Fusion for Video Super-Resolution
Adaptive Correlation Filters Feature Fusion Learning for Visual Tracking
Dense video captioning for incomplete videos
Modeling Context-guided Visual and Linguistic Semantic Feature for Video Captioning.