Training-free Retrieval-based Log Anomaly Detection with Pre-trained Language Model considering Token-level Information

Multi-task Self-supervised Time-series Representation Learning

Transformer-based Multivariate Time Series Anomaly Detection using Inter-Variable Attention Mechanism

DSTEA: Improving Dialogue State Tracking via Entity Adaptive Pre-training

Recurrent Auto-Encoder with Multi-Resolution Ensemble and Predictive Coding for Multivariate Time-Series Anomaly Detection

LAnoBERT : System Log Anomaly Detection Based on BERT Masked Language Model

Exploring the Differences in Adversarial Robustness Between ViT- and CNN-Based Models Using Novel Metrics

FEAT: A General Framework for Feature-Aware Multivariate Time-Series Representation Learning

Time-Series Anomaly Detection with Stacked Transformer Representations and 1D Convolutional Network

Deep Learning-Based Multi-Horizon Forecasting for Automated Material Handling System Throughput in Semiconductor Fab