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Classifier-Free Diffusion Guidance [PDF]
arXiv.org, 2022 Classifier guidance is a recently introduced method to trade off mode coverage and sample fidelity in conditional diffusion models post training, in the same spirit as low temperature sampling or truncation in other types of generative models. Classifier
Jonathan Ho
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Your Diffusion Model is Secretly a Zero-Shot Classifier [PDF]
IEEE International Conference on Computer Vision, 2023 The recent wave of large-scale text-to-image diffusion models has dramatically increased our text-based image generation abilities. These models can generate realistic images for a staggering variety of prompts and exhibit impressive compositional ...
Alexander C. Li +4 more
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Knowledge Distillation with the Reused Teacher Classifier [PDF]
Computer Vision and Pattern Recognition, 2022 Knowledge distillation aims to compress a powerful yet cumbersome teacher model into a lightweight student model without much sacrifice of performance.
Defang Chen +5 more
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Procedure to improve the accuracy of dental implant failures by data science techniques
Journal of Computer Science and Technology, 2021 Nowadays, the prediction about dental implant failure is determined through clinical and radiological evaluation. For this reason, predictions are highly dependent on the Implantologists’ experience. In addition, it is extremely crucial to detect in time
Nancy Ganz +2 more
doaj +1 more source
Frontiers in Physiology, 2023 Purpose: Under the influence of COVID-19 and the in-hospital cost, the in-home detection of cardiovascular disease with smart sensing devices is becoming more popular recently.
Shen Feng +15 more
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Personalized Federated Learning with Feature Alignment and Classifier Collaboration [PDF]
International Conference on Learning Representations, 2023 Data heterogeneity is one of the most challenging issues in federated learning, which motivates a variety of approaches to learn personalized models for participating clients.
Jian Xu, Xin-Yi Tong, Shao-Lun Huang
semanticscholar +1 more source
Applied Sciences, 2022 Diabetes, a metabolic disease in which the blood glucose level rises over time, is one of the most common chronic diseases at present. It is critical to accurately predict and classify diabetes to reduce the severity of the disease and treat it early ...
Hanaa Salem +5 more
doaj +1 more source
“Why Should I Trust You?”: Explaining the Predictions of Any Classifier [PDF]
North American Chapter of the Association for Computational Linguistics, 2016 Despite widespread adoption, machine learning models remain mostly black boxes. Understanding the reasons behind predictions is, however, quite important in assessing trust, which is fundamental if one plans to take action based on a prediction, or when ...
Marco Tulio Ribeiro +2 more
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Regularized Evolution for Image Classifier Architecture Search [PDF]
AAAI Conference on Artificial Intelligence, 2018 The effort devoted to hand-crafting neural network image classifiers has motivated the use of architecture search to discover them automatically. Although evolutionary algorithms have been repeatedly applied to neural network topologies, the image ...
Esteban Real +3 more
semanticscholar +1 more source
iCaRL: Incremental Classifier and Representation Learning [PDF]
Computer Vision and Pattern Recognition, 2016 A major open problem on the road to artificial intelligence is the development of incrementally learning systems that learn about more and more concepts over time from a stream of data.
Sylvestre-Alvise Rebuffi +3 more
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