Tag: Transformer

Researchers in China have developed a Multimodal Transformer Attention model that jointly extracts and fuses video, audio and text features ...

Researchers have developed ADLM-TiM, a hybrid deep learning and Transformer model that detects advanced persistent threats in highly imbalanced network ...

Researchers have built a federated deep learning system that predicts sepsis across simulated hospitals with 93.6 percent accuracy while keeping ...

Researchers in China have developed a dual-path deep learning network that keeps multimodal sentiment analysis accurate even when text, audio ...

A new graph convolution Transformer framework with self-distillation improves multi-view graph clustering by suppressing cross-view noise and exploiting complementary information ...

A dual-encoder AI grammar correction model combining syntactic and semantic pathways outperformed existing systems on standard benchmarks and fixed more ...

A new survey in Machine Learning provides an extensive taxonomy of attention mechanisms and more than thirty Transformer variants that ...

Chronic respiratory diseases such as asthma and chronic obstructive pulmonary disease, or COPD, remain among the world's most persistent killers. ...

Researchers have developed a time-frequency gated transformer that reconstructs the full dynamic response of structures from sparse vibration sensor data, ...

Researchers in Italy have built a Granger causality-guided multi-graph transformer that sharply improves traffic flow forecasting while learning interpretable directional ...