Results 51 to 60 of about 120,084 (296)

A Quadratic Synchronization Rule for Distributed Deep Learning

CoRR, 2023
camera-ready version for ICLR ...
Xinran Gu, Kaifeng Lyu, Sanjeev Arora, Jingzhao Zhang, Longbo Huang   +4 more
openaire   +3 more sources

Validation performance when batch normalization and group normalization are applied in a distributed deep learning environment.

, 2023
Validation performance when batch normalization and group normalization are applied in a distributed deep learning environment.
Se Young Chun (17327871), Byung Hyun Lee (17327868), Jaehwan Lee (2235370), Hyeonseong Choi (17327865)   +3 more
core   +1 more source

Learning Distributed Representations and Deep Embedded Clustering of Texts

Algorithms, 2023
Instructors face significant time and effort constraints when grading students’ assessments on a large scale. Clustering similar assessments is a unique and effective technique that has the potential to significantly reduce the workload of instructors in
Shuang Wang, Amin Beheshti, Yufei Wang, Jianchao Lu, Quan Z. Sheng, Stephen Elbourn, Hamid Alinejad-Rokny   +6 more
doaj   +1 more source

Training performance when batch normalization and group normalization are applied in a distributed deep learning environment.

, 2023
Training performance when batch normalization and group normalization are applied in a distributed deep learning environment.
Se Young Chun (17327871), Byung Hyun Lee (17327868), Jaehwan Lee (2235370), Hyeonseong Choi (17327865)   +3 more
core   +1 more source

Autonomous Power Allocation Based on Distributed Deep Learning for Device-to-Device Communication Underlaying Cellular Network

IEEE Access, 2020
For Device-to-device (D2D) communication of Internet-of-Things (IoT) enabled 5G system, there is a limit to allocating resources considering a complicated interference between different links in a centralized manner.
Jeehyeong Kim, Joohan Park, Jaewon Noh, Sunghyun Cho   +3 more
doaj   +1 more source

Inverse Design of Distributed Bragg Reflectors Using Deep Learning

Applied Sciences, 2022
Distributed Bragg Reflectors are optical structures capable of manipulating light behaviour, which are formed by stacking layers of thin-film materials.
Sarah Head, Mehdi Keshavarz Hedayati
doaj   +1 more source

A Deep Learning Approach to Species Distribution Modelling [PDF]

, 2018
Species distribution models (SDM) are widely used for ecological research and conservation purposes. Given a set of species occurrence, the aim is to infer its spatial distribution over a given territory. Because of the limited number of occurrences of specimens, this is usually achieved through environmental niche modeling approaches, i.e.
Botella, Christophe, Joly, Alexis, Bonnet, Pierre, Monestiez, Pascal, Munoz, François   +4 more
openaire   +3 more sources

Companion for "Understanding Distributed Deep Learning Performance by Correlating HPC and Machine Learning Measurements"

, 2022
This is the Companion Material for the paper “Understanding Distributed Deep Learning Performance by Correlating HPC and Machine Learning Measurements”, by Ana Luisa Veroneze Solórzano and Lucas Mello Schnorr.
Ana Luisa Veroneze Solórzano, Lucas Mello Schnorr   +1 more
core   +2 more sources

Distributed Deep Learning: From Single-Node to Multi-Node Architecture [PDF]

, 2022
During the last years, deep learning (DL) models have been used in several applications with large datasets and complex models. These applications require methods to train models faster, such as distributed deep learning (DDL).
Jean-Sébastien Lerat, Mahmoudi, Saïd, Lerat, Jean-Sébastien, Mahmoudi, Sidi, Sidi Ahmed Mahmoudi, Saïd Mahmoudi   +5 more
core   +1 more source

A segment anything model-based geological remote sensing interpretation method with a distributed data-parallel deep learning framework

International Journal of Digital Earth
The interpretation of remote sensing images is pivotal in extracting geological elements of interest. Recent studies using deep learning models often fail to provide accurate boundaries between geological elements due to high interclass similarity and ...
Xiaohui Huang, Ao Long, Wei Han, Yunliang Chen, Geyong Min, Dongmei Yan   +5 more
doaj   +1 more source