Incremental Training and Group Convolution Pruning for Runtime DNN Performance Scaling on Heterogeneous Embedded Platforms

Research article (2019 ACM/IEEE 1st Workshop on Machine Learning for CAD (MLCAD), 2019) · cited 10× · AI/ML
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Incremental Training and Group Convolution Pruning for Runtime DNN Performance Scaling on Heterogeneous Embedded Platforms

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Incremental Training and Group Convolution Pruning for Runtime DNN Performance Scaling on Heterogeneous Embedded Platforms is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Incremental Training and Group Convolution Pruning for Runtime DNN Performance Scaling on Heterogeneous Embedded Platforms. Retrieved May 24, 2026, from https://4ort.xyz/entity/incremental-training-and-group-convolution-pruning-for-runtime-dnn-performance-scaling-on-heterogeneous-embedded-platfor
MLA “Incremental Training and Group Convolution Pruning for Runtime DNN Performance Scaling on Heterogeneous Embedded Platforms.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/incremental-training-and-group-convolution-pruning-for-runtime-dnn-performance-scaling-on-heterogeneous-embedded-platfor.
BibTeX @misc{4ortxyz_incremental-training-and-group-convolution-pruning-for-runtime-dnn-performance-scaling-on-heterogeneous-embedded-platfor_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Incremental Training and Group Convolution Pruning for Runtime DNN Performance Scaling on Heterogeneous Embedded Platforms}}, year = {2026}, url = {https://4ort.xyz/entity/incremental-training-and-group-convolution-pruning-for-runtime-dnn-performance-scaling-on-heterogeneous-embedded-platfor}, note = {Accessed: 2026-05-24}}
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