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Partha Maji
Partha Maji
Research Scientist - Acceleration of ML
Verified email at arm.com - Homepage
Title
Cited by
Cited by
Year
On the Reduction of Computational Complexity of Deep Convolutional Neural Networks
P Maji, R Mullins
Entropy, 2018
552018
Efficient winograd or cook-toom convolution kernel implementation on widely used mobile cpus
P Maji, A Mundy, G Dasika, J Beu, M Mattina, R Mullins
2019 2nd Workshop on Energy Efficient Machine Learning and Cognitive …, 2019
362019
An analytical performance model for the Spidergon NoC with virtual channels
M Moadeli, A Shahrabi, W Vanderbauwhede, P Maji
Journal of Systems Architecture 56 (1), 16-26, 2010
222010
Apparatus and method for providing a bidirectional communications link between a master device and a slave device
P MAJI, SR Mellor, ARM Limited
US Patent App. 13/439,171, 2012
21*2012
Stochastic-yolo: Efficient probabilistic object detection under dataset shifts
T Azevedo, R de Jong, M Mattina, P Maji
arXiv preprint arXiv:2009.02967, 2020
172020
Quarc: A High-Efficiency network on-Chip architecture
M Moadeli, P Maji, W Vanderbauwhede
Advanced Information Networking and Applications, 2009. AINA'09 …, 2009
172009
ADaPT: optimizing CNN inference on IoT and mobile devices using approximately separable 1-D kernels
P Maji, D Bates, A Chadwick, R Mullins
Proceedings of the 1st International Conference on Internet of Things and …, 2017
122017
Design and implementation of the Quarc Network on-Chip
M Moadeli, PP Maji, W Vanderbauwhede
Parallel & Distributed Processing, 2009. IPDPS 2009. IEEE International …, 2009
92009
Design and implementation of the Quarc Network on-Chip
P Maji, M Moadeli, W Vanderbauwhede
Parallel & Distributed Processing, 2009. IPDPS 2009. IEEE International …, 2009
9*2009
1D-FALCON: Accelerating deep convolutional neural network inference by co-optimization of models and underlying arithmetic implementation
P Maji, R Mullins
Artificial Neural Networks and Machine Learning–ICANN 2017: 26th …, 2017
82017
On the effects of quantisation on model uncertainty in bayesian neural networks
M Ferianc, P Maji, M Mattina, M Rodrigues
Uncertainty in Artificial Intelligence, 929-938, 2021
72021
Stochastic-shield: A probabilistic approach towards training-free adversarial defense in quantized cnns
L Qendro, S Ha, R de Jong, P Maji
Proceedings of the 1st Workshop on Security and Privacy for Mobile AI, 1-6, 2021
72021
Towards efficient point cloud graph neural networks through architectural simplification
SA Tailor, R de Jong, T Azevedo, M Mattina, P Maji
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
72021
On efficient uncertainty estimation for resource-constrained mobile applications
J Rock, T Azevedo, R de Jong, D Ruiz-Muņoz, P Maji
arXiv preprint arXiv:2111.09838, 2021
42021
Data packet flow control across an asynchronous clock domain boundary
P MAJI, SR Mellor, ARM Limited
US Patent 8,630,358, 2014
32014
Tinyops: Imagenet scale deep learning on microcontrollers
S Sadiq, J Hare, P Maji, S Craske, GV Merrett
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
22022
Deff-arts: Differentiable efficient architecture search
S Sadiq, P Maji, J Hare, G Merrett
22020
An underexplored dilemma between confidence and calibration in quantized neural networks
G Xia, S Ha, T Azevedo, P Maji
arXiv preprint arXiv:2111.08163, 2021
12021
Object Detection Network with Spatial Uncertainty
P Prasun, TML Azevedo
US Patent App. 17/179,806, 2022
2022
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