Show all

2023

11.

Li, Guihong; Bhardwaj, Kartikeya; Yang, Yuedong; Marculescu, Radu

TIPS: Topologically Important Path Sampling for Anytime Neural Networks Conference

International Conference on Machine Learning (ICML), 2023.

Links | BibTeX | Tags: Dynamic networks, Edge AI, Featured, Internet of Things, Model Compression & Optimization, Neural Architecture Search

10.

Goksoy, Alper-A; Li, Guihong; Mandal, Sumit K.; Ogras, Umit Y.; Marculescu, Radu

CANNON: Communication-Aware Sparse Neural Network Optimization Journal Article

In: IEEE Transactions on Emerging Topics in Computing, 2023.

Links | BibTeX | Tags: Model Compression & Optimization, NoCmap, Systems

9.

Hoang, Duc N. M; Liu, Shiwei; Marculescu, Radu; Wang, Zhangyang

Revisiting Pruning at Initialization through the Lens of Ramanujan Graph Conference

International Conference on Learning Representations (ICLR), 2023.

Links | BibTeX | Tags: Model Compression & Optimization

2022

8.

Krishnakumar, Anish; Marculescu, Radu; Ogras, Umit Y

INDENT: Incremental Online Decision Tree Training for Domain-Specific Systems-on-Chip Proceedings Article

In: Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design (ICCAD), pp. 1-9, 2022.

Links | BibTeX | Tags: Embedded Systems, Model Compression & Optimization, Networks, Systems

7.

Farcas, Allen-Jasmin; Chen, Xiaohan; Wang, Zhangyang; Marculescu, Radu

Model Elasticity for Hardware Heterogeneity in Federated Learning Systems Proceedings Article

In: Proceedings of the 1st ACM Workshop on Data Privacy and Federated Learning Technologies for Mobile Edge Network (FedEdge), pp. 19-24, 2022.

Links | BibTeX | Tags: Edge AI, Federated Learning, Internet of Things, Model Compression & Optimization, Systems

2021

6.

Li, Guihong; Mandal, Sumit K; Ogras, Umit Y; Marculescu, Radu

FLASH: Fast Neural Architecture Search with Hardware Optimization Journal Article

In: ACM Transactions on Embedded Computing Systems, vol. 20, no. 63, pp. 1-26, 2021.

Links | BibTeX | Tags: Edge AI, Embedded Systems, Model Compression & Optimization, Neural Architecture Search

5.

Bhardwaj, Kartikeya.; Li, Guihong.; Marculescu, Radu.

How does topology influence gradient propagation and model performance of deep networks with DenseNet-type skip connections? Conference

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

Links | BibTeX | Tags: Featured, Model Compression & Optimization, Neural Architecture Search

2020

4.

Farcas, Allen-Jasmin; Li, Guihong; Bhardwaj, Kartikeya; Marculescu, Radu

A Hardware Prototype Targeting Distributed Deep Learning for On-Device Inference Proceedings Article

In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, pp. 398–399, 2020.

Links | BibTeX | Tags: Edge AI, Model Compression & Optimization

2019

3.

Bhardwaj, Kartikeya; Suda, Naveen; Marculescu, Radu

Dream distillation: A data-independent model compression framework Journal Article

In: arXiv preprint arXiv:1905.07072, 2019.

Links | BibTeX | Tags: Edge AI, Model Compression & Optimization

2.

Bhardwaj, Kartikeya; Lin, Ching-Yi; Sartor, Anderson; Marculescu, Radu

Memory-and communication-aware model compression for distributed deep learning inference on iot Journal Article

In: ACM Transactions on Embedded Computing Systems (TECS), vol. 18, no. 5s, pp. 1–22, 2019.

Links | BibTeX | Tags: Edge AI, Featured, Model Compression & Optimization, Networks

1.

Sartor, Anderson Luiz; Becker, Pedro Henrique Exenberger; Wong, Stephan; Marculescu, Radu; Beck, Antonio Carlos Schneider

Machine Learning-Based Processor Adaptability Targeting Energy, Performance, and Reliability Proceedings Article

In: 2019 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), pp. 158–163, IEEE 2019.

Links | BibTeX | Tags: Edge AI, Embedded Systems, Model Compression & Optimization, Systems