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ORCIDPartha Maji
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- affiliation: Arm ML Research Lab, Cambridge, UK
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Books and Theses
- 2020
[b1]Partha Maji:
Model-architecture co-design of deep neural networks for embedded systems. University of Cambridge, UK, 2020
Journal Articles
- 2024
- [j3]Sulaiman Sadiq
, Jonathon S. Hare, Simon Craske, Partha Maji, Geoff V. Merrett:
Enabling ImageNet-Scale Deep Learning on MCUs for Accurate and Efficient Inference. IEEE Internet Things J. 11(7): 11471-11479 (2024) - 2018
- [j2]Partha Maji, Robert D. Mullins:
On the Reduction of Computational Complexity of Deep Convolutional Neural Networks. Entropy 20(4): 305 (2018) - 2010
- [j1]Mahmoud Moadeli, Alireza Shahrabi, Wim Vanderbauwhede, Partha P. Maji:
An analytical performance model for the Spidergon NoC with virtual channels. J. Syst. Archit. 56(1): 16-26 (2010)
Conference and Workshop Papers
- 2022
- [c8]Sulaiman Sadiq, Jonathon S. Hare, Partha Maji, Simon Craske, Geoff V. Merrett:
TinyOps: ImageNet Scale Deep Learning on Microcontrollers. CVPR Workshops 2022: 2701-2705 - 2021
- [c7]Shyam A. Tailor, René de Jong, Tiago Azevedo, Matthew Mattina, Partha Maji:
Towards Efficient Point Cloud Graph Neural Networks Through Architectural Simplification. ICCVW 2021: 2095-2104 - [c6]Martin Ferianc, Partha Maji, Matthew Mattina, Miguel Rodrigues:
On the effects of quantisation on model uncertainty in Bayesian neural networks. UAI 2021: 929-938 - 2019
- [c5]Partha Maji, Andrew Mundy, Ganesh Dasika, Jesse G. Beu, Matthew Mattina, Robert D. Mullins:
Efficient Winograd or Cook-Toom Convolution Kernel Implementation on Widely Used Mobile CPUs. EMC2@HPCA/CVPR/ISCA 2019: 1-5 - 2017
- [c4]Partha Maji, Robert D. Mullins:
1D-FALCON: Accelerating Deep Convolutional Neural Network Inference by Co-optimization of Models and Underlying Arithmetic Implementation. ICANN (2) 2017: 21-29 - [c3]Partha Maji, Daniel Bates, Alexandra W. Chadwick, Robert D. Mullins:
ADaPT: optimizing CNN inference on IoT and mobile devices using approximately separable 1-D kernels. IML 2017: 43:1-43:12 - 2009
- [c2]Mahmoud Moadeli, Partha P. Maji, Wim Vanderbauwhede:
Quarc: A High-Efficiency Network on-Chip Architecture. AINA 2009: 98-105 - [c1]Mahmoud Moadeli, Partha P. Maji, Wim Vanderbauwhede:
Design and implementation of the Quarc Network on-Chip. IPDPS 2009: 1-9
Informal and Other Publications
- 2021
- [i7]Martin Ferianc, Partha Maji, Matthew Mattina, Miguel Rodrigues:
On the Effects of Quantisation on Model Uncertainty in Bayesian Neural Networks. CoRR abs/2102.11062 (2021) - [i6]Lorena Qendro, Sangwon Ha, René de Jong, Partha Maji:
Stochastic-Shield: A Probabilistic Approach Towards Training-Free Adversarial Defense in Quantized CNNs. CoRR abs/2105.06512 (2021) - [i5]Shyam A. Tailor, René de Jong, Tiago Azevedo, Matthew Mattina, Partha Maji:
Towards Efficient Point Cloud Graph Neural Networks Through Architectural Simplification. CoRR abs/2108.06317 (2021) - [i4]Guoxuan Xia, Sangwon Ha, Tiago Azevedo, Partha Maji:
An Underexplored Dilemma between Confidence and Calibration in Quantized Neural Networks. CoRR abs/2111.08163 (2021) - [i3]Johanna Rock, Tiago Azevedo, René de Jong, Daniel Ruiz-Muñoz, Partha Maji:
On Efficient Uncertainty Estimation for Resource-Constrained Mobile Applications. CoRR abs/2111.09838 (2021) - 2020
- [i2]Tiago Azevedo, René de Jong, Partha Maji:
Stochastic-YOLO: Efficient Probabilistic Object Detection under Dataset Shifts. CoRR abs/2009.02967 (2020) - 2019
- [i1]Partha Maji, Andrew Mundy, Ganesh Dasika, Jesse G. Beu, Matthew Mattina, Robert D. Mullins:
Efficient Winograd or Cook-Toom Convolution Kernel Implementation on Widely Used Mobile CPUs. CoRR abs/1903.01521 (2019)
Coauthor Index
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