Results 31 to 40 of about 188,127 (258)

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

Fine-tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning [PDF]

Computer Vision and Pattern Recognition, 2022
Federated Learning (FL) is an emerging distributed learning paradigm under privacy constraint. Data heterogeneity is one of the main challenges in FL, which results in slow convergence and degraded performance.
Lin Zhang, Li Shen, Liang Ding, Dacheng Tao, Ling-Yu Duan   +4 more
semanticscholar   +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

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

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

Improving the Quality of Environmentally Friendly Liquid Smoke Distillation Process to Increase Artisan Income

Warta LPM, 2023
The problems the Smoke-liquid Craftsman Group often faces are production capacity, product quality, and low selling prices.  Low production capacity due to the limited ability distillation machine.
Sukamta Sukamta, Sudarja, Rini Marlina, Muhammad Muzthohidun, Agus Winarno   +4 more
doaj   +1 more source

The Effect of Seawater Used for Hydrodistillation on Essential Oil Yield and Composition of Oil-Bearing Rose (Rosa damascena Mill.)

International Journal of Secondary Metabolite, 2017
Oil-bearing rose (Rosa damascena Mill.) is the most important rose species having a high-value volatile oil, used in the fragrance and cosmetic industries. Epidermal cells of the flower petals are the main essential oil source. During the boiling process
Nimet Kara, Sabri Erbaş, Hasan Baydar   +2 more
doaj   +1 more source

“[L]ike a fountain stirred”: Impure Hospitality in Troilus and Cressida

Etudes Epistémè, 2018
The story of the gift of the wooden horse which brought about the destruction of Troy is one of the oldest cautionary tales of hospitality in Western literature.
Sophie Emma Battell
doaj   +1 more source

Deep learning-based prediction of velocity and temperature distributions in metal foam with hierarchical pore structure

Green Chemical Engineering
Constrained by the substantial computational time required for numerical simulation, a deep learning technique is applied to investigate fluid flow and heat transfer processes in metal foam with a hierarchical pore structure.
Yixiong Lin, Zhengqi Wu, Shiqi You, Chen Yang, Qinglian Wang, Wang Yin, Ting Qiu   +6 more
doaj   +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