Tag: self-attention

Researchers in Beijing have built a 0.27-megabyte transformer model that detects multi-stage APT attacks in industrial IoT telemetry with high ...

Researchers have developed DIRA, a model that combines dynamic entity embeddings with implicit relation-aware self-attention to significantly improve temporal knowledge ...

Researchers have developed a parallel long short-term memory network with self-attention that reaches 91.6 percent accuracy in recognizing sentiment in ...

Researchers have demonstrated a switchable backdoor attack that injects dual tokens through the layers of Vision Transformers, achieving up to ...

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

Researchers have developed CNN-SA-RFR, a cosine similarity-based self-attention framework that suppresses redundant filters during CNN training, boosting plant disease classification ...

A new multi-branch deep learning model fusing satellite, weather, soil and extreme climate data predicts winter wheat yields in China ...

A new deep learning system embeds the peak-end rule directly into its architecture, predicting how people will retrospectively judge emotional ...

Researchers have developed AVP-Pro, a two-stage deep learning framework that identifies antiviral peptides and predicts which virus families and specific ...

Researchers have developed BFA-HARF, a tracking framework that aligns visible and thermal features bidirectionally before fusing them with hybrid attention, ...