default search action
"LATTE: Low-Precision Approximate Attention with Head-wise Trainable ..."
Jiing-Ping Wang, Ming-Guang Lin, An-Yeu Andy Wu (2024)
- Jiing-Ping Wang, Ming-Guang Lin, An-Yeu Andy Wu:
LATTE: Low-Precision Approximate Attention with Head-wise Trainable Threshold for Efficient Transformer. AICAS 2024: 208-212
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.