TY - GEN
T1 - Adaptive Generative Modeling in Resource-Constrained Environments
AU - Kim, Jung Eun
AU - Bradford, Richard
AU - Del Giudice, Max
AU - Shao, Zhong
N1 - Publisher Copyright:
© 2021 EDAA.
PY - 2021/2/1
Y1 - 2021/2/1
N2 - Modern generative techniques, deriving realistic data from incomplete or noisy inputs, require massive computation for rigorous results. These limitations hinder generative techniques from being incorporated in systems in resource-constrained environment, thus motivating methods that grant users control over the time-quality trade-offs for a reasonable 'payoff' of execution cost. Hence, as a new paradigm for adaptively organizing and employing recurrent networks, we propose an architectural design for generative modeling achieving flexible quality. We boost the overall efficiency by introducing non-recurrent layers into stacked recurrent architectures. Accordingly, we design the architecture with no redundant recurrent cells so we avoid unnecessary overhead.
AB - Modern generative techniques, deriving realistic data from incomplete or noisy inputs, require massive computation for rigorous results. These limitations hinder generative techniques from being incorporated in systems in resource-constrained environment, thus motivating methods that grant users control over the time-quality trade-offs for a reasonable 'payoff' of execution cost. Hence, as a new paradigm for adaptively organizing and employing recurrent networks, we propose an architectural design for generative modeling achieving flexible quality. We boost the overall efficiency by introducing non-recurrent layers into stacked recurrent architectures. Accordingly, we design the architecture with no redundant recurrent cells so we avoid unnecessary overhead.
UR - http://www.scopus.com/inward/record.url?scp=85111073232&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85111073232&partnerID=8YFLogxK
U2 - 10.23919/DATE51398.2021.9474046
DO - 10.23919/DATE51398.2021.9474046
M3 - Conference contribution
AN - SCOPUS:85111073232
T3 - Proceedings -Design, Automation and Test in Europe, DATE
SP - 62
EP - 67
BT - Proceedings of the 2021 Design, Automation and Test in Europe, DATE 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 Design, Automation and Test in Europe Conference and Exhibition, DATE 2021
Y2 - 1 February 2021 through 5 February 2021
ER -