Partha Maji

Orcid: 0000-0002-1919-1228

Affiliations:
  • Arm ML Research Lab, Cambridge, UK


According to our database1, Partha Maji authored at least 16 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

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Bibliography

2024
Enabling ImageNet-Scale Deep Learning on MCUs for Accurate and Efficient Inference.
IEEE Internet Things J., April, 2024

2022
TinyOps: ImageNet Scale Deep Learning on Microcontrollers.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
On Efficient Uncertainty Estimation for Resource-Constrained Mobile Applications.
CoRR, 2021

An Underexplored Dilemma between Confidence and Calibration in Quantized Neural Networks.
CoRR, 2021

Stochastic-Shield: A Probabilistic Approach Towards Training-Free Adversarial Defense in Quantized CNNs.
CoRR, 2021

On the effects of quantisation on model uncertainty in Bayesian neural networks.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Towards Efficient Point Cloud Graph Neural Networks Through Architectural Simplification.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020
Model-architecture co-design of deep neural networks for embedded systems.
PhD thesis, 2020

Stochastic-YOLO: Efficient Probabilistic Object Detection under Dataset Shifts.
CoRR, 2020

2019
Efficient Winograd or Cook-Toom Convolution Kernel Implementation on Widely Used Mobile CPUs.
Proceedings of the 2nd Workshop on Energy Efficient Machine Learning and Cognitive Computing for Embedded Applications, 2019

2018
On the Reduction of Computational Complexity of Deep Convolutional Neural Networks.
Entropy, 2018

2017
ADaPT: optimizing CNN inference on IoT and mobile devices using approximately separable 1-D kernels.
Proceedings of the 1st International Conference on Internet of Things and Machine Learning, 2017

1D-FALCON: Accelerating Deep Convolutional Neural Network Inference by Co-optimization of Models and Underlying Arithmetic Implementation.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

2010
An analytical performance model for the Spidergon NoC with virtual channels.
J. Syst. Archit., 2010

2009
Design and implementation of the Quarc Network on-Chip.
Proceedings of the 23rd IEEE International Symposium on Parallel and Distributed Processing, 2009

Quarc: A High-Efficiency Network on-Chip Architecture.
Proceedings of the IEEE 23rd International Conference on Advanced Information Networking and Applications, 2009


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