Microsoft researchers have developed On-Policy Context Distillation (OPCD), a training method that permanently embeds ...
Anthropic is accusing three Chinese artificial intelligence companies of "industrial-scale campaigns" to "illicitly extract" its technology using distillation attacks. Anthropic says these companies ...
LLMs tend to lose prior skills when fine-tuned for new tasks. A new self-distillation approach aims to reduce regression and simplify model management.
This repository showcases a complete pipeline for high-quality Image Sharpening using Knowledge Distillation (KD). A pretrained Restormer model acts as the high-capacity teacher, while a lightweight ...
In Frederick, Maryland, third-grade teacher Karen Wills is beginning a lesson on finding claims in a text with her class at Sugarloaf Elementary School. “Yesterday we read the text Edison’s Best ...
Abstract: Knowledge distillation is a popular technique for transferring the knowledge of a teacher model to a smaller and more efficient student model. However, previous work often used certain ...
Abstract: This work proposes two approaches, i.e., Fed-KD and Fed-TKD, to enhance communication efficiency with federated learning (FL) in Industrial Internet of Things (IIoT) radar sensing systems, ...
Knowledge Distillation (KD) has been established as an effective technique for reducing the resource requirements of models when tackling computer vision tasks. Prior work has studied how to distill ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results