Results 291 to 300 of about 205,061 (335)
Democratizing cost-effective, agentic artificial intelligence to multilingual medical summarization through knowledge distillation. [PDF]
Lee C+7 more
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A review of lightweight convolutional neural networks for ultrasound signal classification. [PDF]
Zhang B+5 more
europepmc +1 more source
Domain-incremental white blood cell classification with privacy-aware continual learning. [PDF]
Kumari P+6 more
europepmc +1 more source
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Adversarial Diffusion Distillation
European Conference on Computer Vision, 2023We introduce Adversarial Diffusion Distillation (ADD), a novel training approach that efficiently samples large-scale foundational image diffusion models in just 1-4 steps while maintaining high image quality.
Axel Sauer+3 more
semanticscholar +1 more source
Zephyr: Direct Distillation of LM Alignment
arXiv.org, 2023We aim to produce a smaller language model that is aligned to user intent. Previous research has shown that applying distilled supervised fine-tuning (dSFT) on larger models significantly improves task accuracy; however, these models are unaligned, i.e ...
Lewis Tunstall+13 more
semanticscholar +1 more source
Special Distillation Processes, 2022
Studies in the field of membrane distillation are analysed. A critical analysis of the theoretical and experimental investigations of membrane distillation is presented.
Zhongwei Ding+3 more
semanticscholar +1 more source
Studies in the field of membrane distillation are analysed. A critical analysis of the theoretical and experimental investigations of membrane distillation is presented.
Zhongwei Ding+3 more
semanticscholar +1 more source
Revisiting Reverse Distillation for Anomaly Detection
Computer Vision and Pattern Recognition, 2023Anomaly detection is an important application in large-scale industrial manufacturing. Recent methods for this task have demonstrated excellent accuracy but come with a latency trade-off.
Tran Dinh Tien+7 more
semanticscholar +1 more source
Text-to-3D with Classifier Score Distillation
International Conference on Learning Representations, 2023Text-to-3D generation has made remarkable progress recently, particularly with methods based on Score Distillation Sampling (SDS) that leverages pre-trained 2D diffusion models.
Xin Yu+5 more
semanticscholar +1 more source
DREAM: Efficient Dataset Distillation by Representative Matching
IEEE International Conference on Computer Vision, 2023Dataset distillation aims to synthesize small datasets with little information loss from original large-scale ones for reducing storage and training costs.
Yanqing Liu+5 more
semanticscholar +1 more source