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Table of Contents
Theory and Algorithms
Metric Learning Based Vision Transformer for Product Matching
Stochastic Recurrent Neural Network for Multistep Time Series Forecasting
Speaker Verification with Disentangled Self-Attention
Multi Modal Normalization
A Focally Discriminative Loss for Unsupervised Domain Adaptation
Automatic Drum Transcription with Label Augmentation using Convolutional Neural Networks
Adaptive Curriculum Learning for Semi-Supervised Segmentation of 3D CT-Scans
Genetic Algorithm and Distinctiveness Pruning in the Shallow Networks for VehicleX
Stack Multiple Shallow Autoencoders into A Strong One: A New Reconstruction-based Method to Detect Anomaly
Learning Discriminative Representation with Attention and Diversity for Large-scale Face Recognition
Multi-task Perceptual Occlusion Face Detection with Semantic Attention Network
RAIDU-Net: Image Inpainting via Residual Attention Fusion and Gated Information Distillation
Sentence Rewriting with Few-Shot Learning for Document-Level Event Coreference Resolution
A Novel Metric Learning Framework for Semi-supervised Domain Adaptation
Generating Adversarial Examples by Distributed Upsampling
CPSAM: Channel and Position Squeeze Attention Module
A Multi-Channel Graph Attention Network for Chinese NER
GSNESR: A Global Social Network Embedding Approach for Social Recommendation
Classification Models for Medical Data with Interpretative Rules
Contrastive Goal Grouping for Policy Generalization in Goal-Conditioned Reinforcement Learning
Global Fusion Capsule Network with Pairwise-Relation Attention Graph Routing
MA-GAN: A Method Based on Generative Adversarial Network for Calligraphy Morphing
One-Stage Open Set Object Detection with Prototype Learning
Aesthetic-aware Recommender System for Online Fashion Products
DAFD: Domain Adaptation Framework for Fake News Detection
Document Image Classification Method based on Graph Convolutional Network
Continual Learning of 3D Point Cloud Generators
Attention-Based 3D ResNet for Detection of Alzheimer's Disease Process
Generation of a Large-Scale Line Image Dataset with Ground Truth Texts from Page-Level Autograph Documents
DAP-BERT: Differentiable Architecture Pruning of BERT
Trash Detection On Water Channels
Tri-Transformer Hawkes Process: Three Heads are better than one
PhenoDeep: A deep Learning-based approach for detecting reproductive organs from digitized herbarium specimen images
Document-level Event Factuality Identification using Negation and Speculation Scope
Dynamic Network Embedding by Time-Relaxed Temporal Random Walk
Dual-band Maritime Ship Classification based on Multi-layer Convolutional Features and Bayesian Decision
Context-Based Anomaly Detection via Spatial Attributed Graphs in Human Monitoring
Domain-Adaptation Person Re-Identification via Style Translation and Clustering
Multimodal Named Entity Recognition Via Co-attention-based Method with Dynamic Visual Concept Expansion
Ego Networks
Cross-modal based Person Re-Identification via Channel Exchange and adversarial Learning
SPBERT: An Efficient Pre-training BERT on SPARQL Queries for Question Answering over Knowledge Graphs
Deep Neuroevolution: Training Neural Networks using a Matrix-free Evolution Strategy
Weighted P-Rank: A Weighted Article Ranking Algorithm Based on a Heterogeneous Scholarly Network
Clustering Friendly Dictionary Learning
Understanding Test-Time Augmentation
SphereCF: Sphere Embedding for Collaborative Filtering
Concordant Contrastive Learning for Semi-supervised Node Classification on Graph
Improving Shallow Neural Networks via Local and Global Normalization
Underwater Acoustic Target Recognition with Fusion Feature
Evaluating Data Characterization Measures for Clustering Problems in Meta-learning
ShallowNet: An Efficient Lightweight Text Detection Network Based on Instance Count-aware Supervision Information
Image Periodization for Convolutional Neural Networks
BCN-GCN: A Novel Brain Connectivity Network Classification Method via Graph Convolution Neural Network for Alzheimer's Disease
Triplet Mapping for Continuously Knowledge Distillation
A Prediction-Augmented AutoEncoder for Multivariate Time Series Anomaly Detection.
Metric Learning Based Vision Transformer for Product Matching
Stochastic Recurrent Neural Network for Multistep Time Series Forecasting
Speaker Verification with Disentangled Self-Attention
Multi Modal Normalization
A Focally Discriminative Loss for Unsupervised Domain Adaptation
Automatic Drum Transcription with Label Augmentation using Convolutional Neural Networks
Adaptive Curriculum Learning for Semi-Supervised Segmentation of 3D CT-Scans
Genetic Algorithm and Distinctiveness Pruning in the Shallow Networks for VehicleX
Stack Multiple Shallow Autoencoders into A Strong One: A New Reconstruction-based Method to Detect Anomaly
Learning Discriminative Representation with Attention and Diversity for Large-scale Face Recognition
Multi-task Perceptual Occlusion Face Detection with Semantic Attention Network
RAIDU-Net: Image Inpainting via Residual Attention Fusion and Gated Information Distillation
Sentence Rewriting with Few-Shot Learning for Document-Level Event Coreference Resolution
A Novel Metric Learning Framework for Semi-supervised Domain Adaptation
Generating Adversarial Examples by Distributed Upsampling
CPSAM: Channel and Position Squeeze Attention Module
A Multi-Channel Graph Attention Network for Chinese NER
GSNESR: A Global Social Network Embedding Approach for Social Recommendation
Classification Models for Medical Data with Interpretative Rules
Contrastive Goal Grouping for Policy Generalization in Goal-Conditioned Reinforcement Learning
Global Fusion Capsule Network with Pairwise-Relation Attention Graph Routing
MA-GAN: A Method Based on Generative Adversarial Network for Calligraphy Morphing
One-Stage Open Set Object Detection with Prototype Learning
Aesthetic-aware Recommender System for Online Fashion Products
DAFD: Domain Adaptation Framework for Fake News Detection
Document Image Classification Method based on Graph Convolutional Network
Continual Learning of 3D Point Cloud Generators
Attention-Based 3D ResNet for Detection of Alzheimer's Disease Process
Generation of a Large-Scale Line Image Dataset with Ground Truth Texts from Page-Level Autograph Documents
DAP-BERT: Differentiable Architecture Pruning of BERT
Trash Detection On Water Channels
Tri-Transformer Hawkes Process: Three Heads are better than one
PhenoDeep: A deep Learning-based approach for detecting reproductive organs from digitized herbarium specimen images
Document-level Event Factuality Identification using Negation and Speculation Scope
Dynamic Network Embedding by Time-Relaxed Temporal Random Walk
Dual-band Maritime Ship Classification based on Multi-layer Convolutional Features and Bayesian Decision
Context-Based Anomaly Detection via Spatial Attributed Graphs in Human Monitoring
Domain-Adaptation Person Re-Identification via Style Translation and Clustering
Multimodal Named Entity Recognition Via Co-attention-based Method with Dynamic Visual Concept Expansion
Ego Networks
Cross-modal based Person Re-Identification via Channel Exchange and adversarial Learning
SPBERT: An Efficient Pre-training BERT on SPARQL Queries for Question Answering over Knowledge Graphs
Deep Neuroevolution: Training Neural Networks using a Matrix-free Evolution Strategy
Weighted P-Rank: A Weighted Article Ranking Algorithm Based on a Heterogeneous Scholarly Network
Clustering Friendly Dictionary Learning
Understanding Test-Time Augmentation
SphereCF: Sphere Embedding for Collaborative Filtering
Concordant Contrastive Learning for Semi-supervised Node Classification on Graph
Improving Shallow Neural Networks via Local and Global Normalization
Underwater Acoustic Target Recognition with Fusion Feature
Evaluating Data Characterization Measures for Clustering Problems in Meta-learning
ShallowNet: An Efficient Lightweight Text Detection Network Based on Instance Count-aware Supervision Information
Image Periodization for Convolutional Neural Networks
BCN-GCN: A Novel Brain Connectivity Network Classification Method via Graph Convolution Neural Network for Alzheimer's Disease
Triplet Mapping for Continuously Knowledge Distillation
A Prediction-Augmented AutoEncoder for Multivariate Time Series Anomaly Detection.