Arnab Neelim Mazumder
Orcid: 0000-0002-9550-7917
According to our database1,
Arnab Neelim Mazumder
authored at least 16 papers
between 2020 and 2023.
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Bibliography
2023
Reg-TuneV2: A Hardware-Aware and Multiobjective Regression-Based Fine-Tuning Approach for Deep Neural Networks on Embedded Platforms.
IEEE Micro, 2023
Harnessing the Power of Explanations for Incremental Training: A LIME-Based Approach.
Proceedings of the 31st European Signal Processing Conference, 2023
2022
Neuromorph. Comput. Eng., 2022
IEEE Des. Test, 2022
Automatic Detection of Respiratory Symptoms Using a Low-Power Multi-Input CNN Processor.
IEEE Des. Test, 2022
XAI-Increment: A Novel Approach Leveraging LIME Explanations for Improved Incremental Learning.
CoRR, 2022
A Fast Network Exploration Strategy to Profile Low Energy Consumption for Keyword Spotting.
CoRR, 2022
2021
Cyclic Sparsely Connected Architectures for Compact Deep Convolutional Neural Networks.
IEEE Trans. Very Large Scale Integr. Syst., 2021
A Survey on the Optimization of Neural Network Accelerators for Micro-AI On-Device Inference.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2021
An Energy-Efficient Hardware Accelerator for Hierarchical Deep Reinforcement Learning.
Proceedings of the 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2021
Proceedings of the 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2021
2020
Neural Networks for Pulmonary Disease Diagnosis using Auditory and Demographic Information.
CoRR, 2020
End-to-end Scalable and Low Power Multi-modal CNN for Respiratory-related Symptoms Detection.
Proceedings of the 33rd IEEE International System-on-Chip Conference, 2020
Proceedings of the 33rd IEEE International System-on-Chip Conference, 2020
Proceedings of the GLSVLSI '20: Great Lakes Symposium on VLSI 2020, 2020