Deepak Mittal

Orcid: 0000-0003-0570-8641

According to our database1, Deepak Mittal authored at least 17 papers between 2014 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
A Closer Look at Bearing Fault Classification Approaches.
CoRR, 2023

SRAM Cell Leakage Reduction Methodologies for Low Leakage Cache Memories.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

Design a Gated PMOS Spillage Reduction Approach for CMOS SRAM Cell in 90nm Technology Node.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

2022
Interpretable Acoustic Representation Learning on Breathing and Speech Signals for COVID-19 Detection.
CoRR, 2022

Svadhyaya system for the Second Diagnosing COVID-19 using Acoustics Challenge 2021.
CoRR, 2022

SPLICEOUT: A Simple and Efficient Audio Augmentation Method.
Proceedings of the Interspeech 2022, 2022

Acoustic Representation Learning on Breathing and Speech Signals for COVID-19 Detection.
Proceedings of the Interspeech 2022, 2022

Performance Analysis of Various CMOS SRAM Cells.
Proceedings of the 13th International Conference on Computing Communication and Networking Technologies, 2022

2021
Investigating Feature Selection and Explainability for COVID-19 Diagnostics from Cough Sounds.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Perturb, Predict & Paraphrase: Semi-Supervised Learning using Noisy Student for Image Captioning.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020
Performance Evaluation of 6T, 7T, 8T, and 9T SRAM cell Topologies at 90 nm Technology Node.
Proceedings of the 11th International Conference on Computing, 2020

ProAlignNet: Unsupervised Learning for Progressively Aligning Noisy Contours.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Studying the plasticity in deep convolutional neural networks using random pruning.
Mach. Vis. Appl., 2019

2018
Recovering from Random Pruning: On the Plasticity of Deep Convolutional Neural Networks.
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Designing of Multiplexer and De-Multiplexer Using Different Adiabatic Logic in 90nm Technology.
Proceedings of the 9th International Conference on Computing, 2018

Training a deep learning architecture for vehicle detection using limited heterogeneous traffic data.
Proceedings of the 10th International Conference on Communication Systems & Networks, 2018

2014
An Error Analysis Tool for Natural Language Processing and Applied Machine Learning.
Proceedings of the COLING 2014, 2014


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