Towards Energy Efficient DNN accelerator via Sparsified Gradual Knowledge Distillation-Reference-Cited by-同舟云学术

Towards Energy Efficient DNN accelerator via Sparsified Gradual Knowledge Distillation

Published:2022-10-03 Issue: Volume: Page:
ISSN:
Container-title:2022 IFIP/IEEE 30th International Conference on Very Large Scale Integration (VLSI-SoC)
language:
Short-container-title:

Author:

Karimzadeh Foroozan¹,Raychowdhury Arijit¹

Affiliation:

1. Georgia Institute of Technology,School of Electrical and Computer Engineering,Atlanta,Georgia,30332

Funder

Semiconductor Research Corporation

Publisher

IEEE

Link

Reference25 articles.

1. Knowledge from the original network: restore a better pruned network with knowledge distillation;chen;Complex & Intelligent Systems,2021

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Denseflex: A Low Rank Factorization Methodology for Adaptable Dense Layers in DNNs;Proceedings of the 21st ACM International Conference on Computing Frontiers;2024-05-07

3. Memory-Based Computing for Energy-Efficient AI: Grand Challenges;2023 IFIP/IEEE 31st International Conference on Very Large Scale Integration (VLSI-SoC);2023-10-16

4. Towards Highly Compressed CNN Models for Human Activity Recognition in Wearable Devices;2023 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA);2023-09-20