Results 31 to 40 of about 219,795 (335)

Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation [PDF]

ACM SIGGRAPH Conference and Exhibition on Computer Graphics and Interactive Techniques in Asia
Diffusion models are the main driver of progress in image and video synthesis, but suffer from slow inference speed. Distillation methods, like the recently introduced adversarial diffusion distillation (ADD) aim to shift the model from many-shot to ...
Axel Sauer, Frederic Boesel, Tim Dockhorn, A. Blattmann, Patrick Esser, Robin Rombach   +5 more
semanticscholar   +1 more source

Phase Transformations and Tellurium Recovery from Technical Copper Telluride by Oxidative-Distillate Roasting at 0.67 kPa

Metals, 2022
This paper presents the results of a study of phase transformations occurring in copper-telluride by-products during its processing of oxidation-distillate roasting at low pressure.
Alina Nitsenko, Xeniya Linnik, Valeriy Volodin, Farkhat Tuleutay, Nurila Burabaeva, Sergey Trebukhov, Galiya Ruzakhunova   +6 more
doaj   +1 more source

Lightweight Image Super-Resolution with Information Multi-distillation Network [PDF]

ACM Multimedia, 2019
In recent years, single image super-resolution (SISR) methods using deep convolution neural network (CNN) have achieved impressive results. Thanks to the powerful representation capabilities of the deep networks, numerous previous ways can learn the ...
Zheng Hui, Xinbo Gao, Yunchu Yang, Xiumei Wang   +3 more
semanticscholar   +1 more source

Saccharomyces cerevisiae Diversity in Arbutus unedo L. Fermentations in Association with the Volatile and Sensory Similarities of the Distillates

Foods, 2022
The fermentation of Arbutus unedo L. fruit is traditionally carried out in the production of spirits. The present study followed the spontaneous fermentation of A.
M. Margarida Baleiras-Couto, Ilda Caldeira, Filomena Gomes, Goreti Botelho, Filomena L. Duarte   +4 more
doaj   +1 more source

Renormalizing Entanglement Distillation [PDF]

Physical Review Letters, 2016
Entanglement distillation refers to the task of transforming a collection of weakly entangled pairs into fewer highly entangled ones. It is a core ingredient in quantum repeater protocols, needed to transmit entanglement over arbitrary distances in order to realise quantum key distribution schemes.
Waeldchen, S., Gertis, J., Campbell, E.T., Eisert, J.   +3 more
openaire   +5 more sources

Logit Standardization in Knowledge Distillation [PDF]

Computer Vision and Pattern Recognition
Knowledge distillation involves transferring soft labels from a teacher to a student using a shared temperature-based softmax function. However, the assumption of a shared temperature between teacher and student implies a mandatory exact match between ...
Shangquan Sun, Wenqi Ren, Jingzhi Li, Rui Wang, Xiaochun Cao   +4 more
semanticscholar   +1 more source

Improved Knowledge Distillation via Teacher Assistant [PDF]

AAAI Conference on Artificial Intelligence, 2019
Despite the fact that deep neural networks are powerful models and achieve appealing results on many tasks, they are too large to be deployed on edge devices like smartphones or embedded sensor nodes.
Seyed Iman Mirzadeh, Mehrdad Farajtabar, Ang Li, Nir Levine, Akihiro Matsukawa, H. Ghasemzadeh   +5 more
semanticscholar   +1 more source

Assisted Work Distillation [PDF]

Physical Review Letters, 2019
5+8 pages, to appear in Physical Review ...
Morris, Benjamin, Lami, Ludovico, Adesso, Gerardo   +2 more
openaire   +4 more sources

APPLICATION OF LM 35 TEMPERATURE SENSOR FOR SEAWATER DISTILLATION

Jurnal Neutrino: Jurnal Fisika dan Aplikasinya, 2022
Indonesia is an archipelago, so many settlements close to the beach or sea. People living in the area are still many who lack clean water. One way to get clean water is sea water by distillation.
Imam Saukani, Rina Triturani
doaj   +1 more source

Multiresolution Knowledge Distillation for Anomaly Detection [PDF]

Computer Vision and Pattern Recognition, 2020
Unsupervised representation learning has proved to be a critical component of anomaly detection/localization in images. The challenges to learn such a representation are two-fold.
Mohammadreza Salehi, Niousha Sadjadi, Soroosh Baselizadeh, M. H. Rohban, H. Rabiee   +4 more
semanticscholar   +1 more source