IEEE5d
Adversarial Training and Cross-modal Feature Fusion in Multimodal Sentiment Analysis
The model first extracts common and unique features from each modality using a BERT text encoder and a shared-private encoder. Correlation measurements are then used to calculate the similarity ...
IEEE5d
Point-UMAE: Unet-like Masked Autoencoders for Point Cloud Self-supervised Learning
Compared to the baseline Point-BERT, our method achieves a classification performance improvement of 1% and 4.14% on the ModelNet40 and ScanObjectNN datasets, respectively. We also investigate the ...
GitHub3d
BERT for Aspect-Based Sentiment Analysis
Code for "Adversarial Training for Aspect-Based Sentiment Analysis with BERT" and "Improving BERT Performance for Aspect-Based Sentiment Analysis". We have used the codebase from the following paper ...
GitHub6d
LLMeLog: An Approach for Anomaly Detection based on LLM-enriched Log Events
Then it utilizes the enriched log events to fine-tune a pre-trained BERT model. At last, it trains a transformer-based anomaly detection model with the event representations produced by the ...