Anomaly Detection in Directed Dynamic Graphs via RDGCN and LSTAN
Anomaly-Based Insider Threat Detection via Hierarchical Information Fusion
CSEDesc: CyberSecurity Event Detection with Event Description
GanNeXt: A New Convolutional GAN for Anomaly Detection
K-Fold Cross-Valuation for Machine Learning Using Shapley Value
Malicious Domain Detection Based on Self-supervised HGNNs with Contrastive Learning
Time Series Anomaly Detection with Reconstruction-Based State-Space Models
ReDualSVG: Refined Scalable Vector Graphics Generation
Rethinking Feature Context in Learning Image-guided Depth Completion
Semantic and Frequency Representation Mining for Face Manipulation Detection
Single image dehazing network based on serial feature attention
SS-Net: 3D Spatial-Spectral Network for Cerebrovascular Segmentation in TOF-MRA
STAN: Spatio-Temporal Alignment Network for No-Reference Video Quality Assessment
Style Expansion without Forgetting for Handwritten Character Recognition
TransVQ-VAE: Generating Diverse Images using Hierarchical Representation Learning
UG-Net: Unsupervised-Guided Network for Biomedical Image Segmentation and Classification
Unsupervised Shape Enhancement and Factorization Machine Network for 3D Face Reconstruction
Visible-Infrared Person Re-Identification via Modality Augmentation and Center Constraints
Water Conservancy Remote Sensing Image Classification Based on Target-Scene Deep Semantic Enhancement
A Partitioned Detection Architecture for Oriented Objects
A Personalized Federated Multi-Task Learning Scheme for Encrypted Traffic Classification
Addressing delays in Reinforcement Learning via Delayed Adversarial Imitation Learning
An Evaluation of Self-Supervised Learning for Portfolio Diversification
An exploitation-enhanced Bayesian optimization algorithm for high-dimensional expensive problems
Balancing Selection and Diversity in Ensemble Learning with Exponential Mixture Model
CIPER: Combining Invariant and Equivariant Representations Using Contrastive and Predictive Learning
Contrastive Learning and the Emergence of Attributes Associations
Contrastive Learning for Sleep Staging based on Inter Subject Correlation
Diffusion Policies as Multi-Agent Reinforcement Learning Strategies
Dynamic Memory-based Continual Learning with Generating and Screening
Enhancing Text2SQL Generation with Syntactic Infor-mation and Multi-Task Learning
Fast Generalizable Novel View Synthesis with Uncertainty-Aware Sampling
Find Important Training Dataset by Observing the Training Sequence Similarity
Generating Question-Answer Pairs for Few-shot Learning
GFedKRL: Graph Federated Knowledge Re-Learning for Effective Molecular Property Prediction via Privacy Protection
Gradient-Boosted Based Structured and Unstructured Learning
Graph Federated Learning Based on the Decentralized Framework
Heterogeneous Federated Learning Based on Graph Hypernetwork
Learning to Resolve Conflicts in Multi-Task Learning
Neighborhood-oriented Decentralized Learning Communication in Multi-Agent System
NN-Denoising: A Low-Noise Distantly Supervised Document-Level Relation Extraction Scheme using Natural Language Inference and Negative Sampling
pFedLHNs: Personalized Federated Learning via Local Hypernetworks
Prototype Contrastive Learning for Personalized Federated Learning
PTSTEP: Prompt Tuning for Semantic Typing of Event Processes
SR-IDS: A Novel Network Intrusion Detection System Based on Self-taught Learning and Representation Learning
Task-Aware Adversarial Feature Perturbation for Cross-Domain Few-Shot Learning
Ternary Data, Triangle Decoding, Three Tasks, a Multitask Learning Speech Translation Model.