Results 11 to 20 of about 219,795 (335)

Knowledge Distillation from A Stronger Teacher [PDF]

open access: yesNeural Information Processing Systems, 2022
Unlike existing knowledge distillation methods focus on the baseline settings, where the teacher models and training strategies are not that strong and competing as state-of-the-art approaches, this paper presents a method dubbed DIST to distill better ...
Tao Huang   +4 more
semanticscholar   +1 more source

Molecular interaction mechanism in the separation of a binary azeotropic system by extractive distillation with ionic liquid

open access: yesGreen Energy & Environment, 2021
Ionic liquids (ILs) have shown excellent performance in the separation of binary azeotropes through extractive distillation [1]. But the role of the ionic liquid in azeotropic system is not well understood.
Hong Li   +7 more
doaj   +1 more source

Effective Whole-body Pose Estimation with Two-stages Distillation [PDF]

open access: yes2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2023
Whole-body pose estimation localizes the human body, hand, face, and foot keypoints in an image. This task is challenging due to multi-scale body parts, fine-grained localization for low-resolution regions, and data scarcity. Meanwhile, applying a highly
Zhendong Yang   +3 more
semanticscholar   +1 more source

Study of the Adsorption Behavior of Surfactants on Carbonate Surface by Experiment and Molecular Dynamics Simulation

open access: yesFrontiers in Chemistry, 2022
Surfactants adsorption onto carbonate reservoirs would cause surfactants concentrations decrease in surfactant flooding, which would decrease surfactant efficiency in practical applications of enhanced oil recovery (EOR) processes.
Jinjian Hou   +8 more
doaj   +1 more source

Machine learning-based ionic liquids design and process simulation for CO2 separation from flue gas

open access: yesGreen Energy & Environment, 2021
Rational design of ionic liquids (ILs), which is highly dependent on the accuracy of the model used, has always been crucial for CO2 separation from flue gas.
Kai Wang, Huijin Xu, Chen Yang, Ting Qiu
doaj   +1 more source

Application of the Chemical-Looping Concept for Azoetrope Separation

open access: yesEngineering, 2021
The need for the separation of azeotropic mixtures for the production of high-end chemicals and resource recovery has spurred significant research into the development of new separation methods in the chemical industry.
Xin Gao, Xueli Geng
doaj   +1 more source

Masked Generative Distillation [PDF]

open access: yesEuropean Conference on Computer Vision, 2022
Knowledge distillation has been applied to various tasks successfully. The current distillation algorithm usually improves students' performance by imitating the output of the teacher.
Zhendong Yang   +5 more
semanticscholar   +1 more source

Performance enhancement of a single slope solar still with single basin using Fresnel lens

open access: yesJournal of Mechanical Engineering and Sciences, 2021
This paper presents an experimental study using Fresnel lens to increase the overall efficiency of the conventional Single Slope Solar Still (SSSS) with single basin.
Parimal Sharad Bhambare   +2 more
doaj   +1 more source

Linking the representation levels to a physical separation and purification method in chemistry: Understanding of distillation experiment [PDF]

open access: yesJournal of Pedagogical Research, 2021
The present investigation aims to analyze the knowledge levels and chemical representation levels of pre-service primary school teachers (PPSTs) on the experiment of distillation.
Nalan Akkuzu Güven, Melis Arzu Uyulgan
doaj   +1 more source

Distillation as a Defense to Adversarial Perturbations Against Deep Neural Networks [PDF]

open access: yesIEEE Symposium on Security and Privacy, 2015
Deep learning algorithms have been shown to perform extremely well on many classical machine learning problems. However, recent studies have shown that deep learning, like other machine learning techniques, is vulnerable to adversarial samples: inputs ...
Nicolas Papernot   +4 more
semanticscholar   +1 more source

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