Abstract: Current Knowledge Distillation (KD) methods claim their own explainability principle of knowledge. However, these methods lack a unified framework to review the KD process. In this paper, we ...

Motivation: Conventional knowledge distillation approaches primarily preserve in-domain accuracy while neglecting out-of-domain generalization, which is essential under distribution shifts. This ...

Anthropic accused three Chinese AI firms of engaging in concerted "distillation attack" campaigns. U.S. companies like Anthropic and OpenAI are concerned with ceding a competitive advantage to such ...

Generative AI firm Anthropic said three Chinese AI companies have generated millions of queries with the Claude large language model (LLM) in order to copy the model – a technique called ‘model ...

United States artificial intelligence firm Anthropic is accusing three prominent Chinese AI labs of illegally extracting capabilities from its Claude model to advance their own, claiming it raises ...

In mathematics, proofs can be written down and shared. In cryptography, when people are trying to avoid revealing their secrets, proofs are not always so simple—but a new result significantly closes ...

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 ...

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 ...