Market valued at $16.86B in 2024, projected 4.20% CAGR growth driven by VOC regulation compliance, bio-based adoption, ...
A machine-learning approach known as knowledge distillation can significantly reduce sensor drift in electronic noses, researchers say, improving the reliability of gas-sensing systems used in ...
Two startups in Grangemouth, UK, that produce chemicals by fermenting whisky residues have won over £9 million in government funds, attempting to fill the economic gap left as the nearby oil refinery ...
Introduction: Bipolar disorder (BD) is a severe psychiatric disorder characterized by shifting of mood patterns from manic to depressive episodes. The molecular mechanisms underlying BD have not been ...
Abstract: Knowledge distillation (KD), as an efficient and effective model compression technique, has received considerable attention in deep learning. The key to its success is about transferring ...
Abstract: Existing studies on knowledge distillation typically focus on teacher-centered methods, in which the teacher network is trained according to its own standards before transferring the learned ...
This repository represents the official implementation of the paper titled "Diffusion Self-Distillation for Zero-Shot Customized Image Generation". This repository is still under construction, many ...
torchdistill (formerly kdkit) offers various state-of-the-art knowledge distillation methods and enables you to design (new) experiments simply by editing a declarative yaml config file instead of ...
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