Deepak Mittal

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 20

Top Topics

Language Processing

Unsupervised Learning

Top Venues

Publications

Deepak Mittal
SRAM Cell Leakage Reduction Methodologies for Low Leakage Cache Memories. ICCCNT (2023)
Deepak Mittal
Design a Gated PMOS Spillage Reduction Approach for CMOS SRAM Cell in 90nm Technology Node. ICCCNT (2023)
Harika Abburi, Tanya Chaudhary, Haider Ilyas, Lakshmi Manne, Deepak Mittal, Don Williams, Derek Snaidauf, Edward Bowen, Balaji Veeramani
A Closer Look at Bearing Fault Classification Approaches. CoRR (2023)
Arjit Jain, Pranay Reddy Samala, Deepak Mittal, Preethi Jyothi, Maneesh Singh
SPLICEOUT: A Simple and Efficient Audio Augmentation Method. INTERSPEECH (2022)
Debottam Dutta, Debarpan Bhattacharya, Sriram Ganapathy, Amir H. Poorjam, Deepak Mittal, Maneesh Kumar Singh
Interpretable Acoustic Representation Learning on Breathing and Speech Signals for COVID-19 Detection. CoRR (2022)
Deepak Mittal
Performance Analysis of Various CMOS SRAM Cells. ICCCNT (2022)
Deepak Mittal, Amir H. Poorjam, Debottam Dutta, Debarpan Bhattacharya, Zemin Yu, Sriram Ganapathy, Maneesh Kumar Singh
Svadhyaya system for the Second Diagnosing COVID-19 using Acoustics Challenge 2021. CoRR (2022)
Debottam Dutta, Debarpan Bhattacharya, Sriram Ganapathy, Amir Hossein Poorjam, Deepak Mittal, Maneesh Singh
Acoustic Representation Learning on Breathing and Speech Signals for COVID-19 Detection. INTERSPEECH (2022)
Flávio Ávila, Amir H. Poorjam, Deepak Mittal, Charles Dognin, Ananya Muguli, Rohit Kumar, Srikanth Raj Chetupalli, Sriram Ganapathy, Maneesh Singh
Investigating Feature Selection and Explainability for COVID-19 Diagnostics from Cough Sounds. Interspeech (2021)
Arjit Jain, Pranay Reddy Samala, Deepak Mittal, Preethi Jyothi, Maneesh Singh
SpliceOut: A Simple and Efficient Audio Augmentation Method. CoRR (2021)
Arjit Jain, Pranay Reddy Samala, Preethi Jyothi, Deepak Mittal, Maneesh Kumar Singh
Perturb, Predict & Paraphrase: Semi-Supervised Learning using Noisy Student for Image Captioning. IJCAI (2021)
V. S. R. Veeravasarapu, Abhishek Goel, Deepak Mittal, Maneesh Kumar Singh
ProAlignNet: Unsupervised Learning for Progressively Aligning Noisy Contours. CVPR (2020)
Deepak Mittal, V. K. Tomar
Performance Evaluation of 6T, 7T, 8T, and 9T SRAM cell Topologies at 90 nm Technology Node. ICCCNT (2020)
V. S. R. Veeravasarapu, Abhishek Goel, Deepak Mittal, Maneesh Kumar Singh
ProAlignNet : Unsupervised Learning for Progressively Aligning Noisy Contours. CoRR (2020)
Deepak Mittal, Shweta Bhardwaj, Mitesh M. Khapra, Balaraman Ravindran
Studying the plasticity in deep convolutional neural networks using random pruning. Mach. Vis. Appl. 30 (2) (2019)
Deepak Mittal, Amit Niranjan
Designing of Multiplexer and De-Multiplexer Using Different Adiabatic Logic in 90nm Technology. ICCCNT (2018)
Deepak Mittal, Shweta Bhardwaj, Mitesh M. Khapra, Balaraman Ravindran
Studying the Plasticity in Deep Convolutional Neural Networks using Random Pruning. CoRR (2018)
Deepak Mittal, Shweta Bhardwaj, Mitesh M. Khapra, Balaraman Ravindran
Recovering from Random Pruning: On the Plasticity of Deep Convolutional Neural Networks. CoRR (2018)
Deepak Mittal, Avinash Reddy, Gitakrishnan Ramadurai, Kaushik Mitra, Balaraman Ravindran
Training a deep learning architecture for vehicle detection using limited heterogeneous traffic data. COMSNETS (2018)
Deepak Mittal, Shweta Bhardwaj, Mitesh M. Khapra, Balaraman Ravindran
Recovering from Random Pruning: On the Plasticity of Deep Convolutional Neural Networks. WACV (2018)
Apoorv Agarwal, Ankit Agarwal, Deepak Mittal
An Error Analysis Tool for Natural Language Processing and Applied Machine Learning. COLING (Demos) (2014)