Results 71 to 80 of about 141,062 (268)

Knowledge Distillation Meets Self-supervision [PDF]

, 2020
To appear in ECCV 2020.
Guodong Xu, Ziwei Liu, Xiaoxiao Li, Chen Change Loy   +3 more
openaire   +2 more sources

Zwitterionic Self‐Assembled Monolayer for Simultaneous Noise Suppression and Hole Extraction in High‐Performance Near‐Infrared Organic Photodetectors

Advanced Functional Materials, EarlyView.
This study presents a new hole transporting material (HTM) mechanism for self‐assembled monolayers in near‐infrared organic photodetectors. The formation of zwitterions induces a strong electric field that significantly increases the work function of HTM‐coated indium tin oxide substrates. The devices exhibit low dark current and noise, along with high
Jiyoung Shin, Gyeong Min Lee, Juyeon Shin, Jaewoong Kim, Tae Hyuk Kim, Do Yeon Kim, Myeong In Kim, Kyeounghak Kim, Jae Won Shim, In Hwan Jung   +9 more
wiley   +1 more source

Predicting Subsurface Layer Thickness and Seismic Wave Velocity Using Deep Learning: Knowledge Distillation Approach

IEEE Access
Seismic interpretation is a crucial task in geophysics, requiring accurate prediction of subsurface layer thickness and seismic wave velocity. Traditional methods are computationally intensive and often hindered by noise in seismic data.
Amir Moslemi, Anna Briskina, Jason Li, Zubeka Dang, Peyman Moghaddam   +4 more
doaj   +1 more source

Named Entity Recognition Model Based on k-best Viterbi Decoupling Knowledge Distillation [PDF]

Jisuanji kexue yu tansuo
Knowledge distillation is a general approach to improve the performance of the named entity recognition (NER) models. However, the classical knowledge distillation loss functions are coupled, which leads to poor logit distillation.
ZHAO Honglei, TANG Huanling, ZHANG Yu, SUN Xueyuan, LU Mingyu
doaj   +1 more source

Student-friendly knowledge distillation

Knowledge-Based Systems
In knowledge distillation, the knowledge from the teacher model is often too complex for the student model to thoroughly process. However, good teachers in real life always simplify complex material before teaching it to students. Inspired by this fact, we propose student-friendly knowledge distillation (SKD) to simplify teacher output into new ...
Yuan, Mengyang, Lang, Bo, Quan, Fengnan
openaire   +2 more sources

Multipurpose Transparent Nanocomposites for Gamma Spectroscopy, Pulse Shape Discrimination, Thermal Neutron Detection, Radiation Shielding, and High Refractive Index Applications

Advanced Functional Materials, EarlyView.
Materials exist that are useful for gamma scintillation, radiation shielding, neutron‐gamma pulse shape discrimination (PSD), thermal neutron detection, or high refractive index applications. While certain materials have exhibited optimal performance for each of these applications, none achieve multiple functions.
Isabelle Winardi, Stephane Miaule, Robert Carmichael, Bowen Sun, Ziqing Han, Prabhav Surabhi, Zhen Luo, Noelan Hum, David Prout, Yi‐An Chen, Ting‐Hsuan Wu, Hao Yu, Arion Chatziioannou, Qibing Pei   +13 more
wiley   +1 more source

Heterogeneous Knowledge Distillation Using Conceptual Learning

IEEE Access
Recent advances in deep learning have led to the development of large, high-performing models that have been pretrained on massive datasets. However, employing these models in real-world services requires fast inference speed and low computational ...
Yerin Yu, Namgyu Kim
doaj   +1 more source

Laser Engineering of HfN‐Based Nanoparticles for Safe NIR‐I Photothermal and X‐ray Enhancing Cancer Therapies

Advanced Functional Materials, EarlyView.
In this study, we produced HfN‐based nanoparticles via femtosecond laser ablation in acetone. The nanoparticles exhibit a red‐shifted plasmonic resonance in the NIR‐I window, colloidal stability after coating with polyethyleneglycol, and excellent biocompatibility. The photothermal and X‐ray sensitization therapeutic effects were demonstrated for tumor
Julia S. Babkova, Ivan V. Zelepukin, Lyubov V. Gorelik, Anton L. Popov, Andrei I. Pastukhov, Gleb V. Tikhonowski, Maxim S. Savinov, Danil D. Kolmanovich, Nikita A. Pivovarov, Alina Yu. Kapitannikova, Anton A. Popov, Anna S. Sogomonyan, Vsevolod A. Skribitsky, Aziz B. Mirkasymov, Andrei V. Kabashin, Sergey M. Deyev   +15 more
wiley   +1 more source

Distillating knowledge about SCOTCH

, 2009
The design of the Scotch library for static mapping, graph partitioning and sparse matrix ordering is highly modular, so as to allow users and potential contributors to tweak it and add easily new static mapping, graph bipartitioning, vertex separation or graph ordering methods to match their particular needs.
openaire   +4 more sources

Breathable Graphene Oxide‐Polymer Composite Membranes With Two‐Step Barrier Mechanism Against Nerve Agents

Advanced Functional Materials, EarlyView.
ABSTRACT Breathable membranes that reject chemical warfare agents (CWAs) are required for next‐generation protective apparel. A dual‐function graphene oxide (GO)‐polyamine architecture is introduced that addresses the long‐standing tradeoff between vapor transmission and CWA selectivity.
Hyungjun Kim, Chanui Lee, Keunhong Jeong, Seonggi Kim, Hyunju Shin, Sunghan Kim, Youngho Jin   +6 more
wiley   +1 more source