An Error Analysis Tool for Natural Language Processing and Applied Machine Learning. - Apoorv Agarwal; Ankit Agarwal; Deepak Mittal (COLING (Demos), 2014)

Training a deep learning architecture for vehicle detection using limited heterogeneous traffic data. - Deepak Mittal; Avinash Reddy; Gitakrishnan Ramadurai; Kaushik Mitra; Balaraman Ravindran (COMSNETS, 2018)

Designing of Multiplexer and De-Multiplexer Using Different Adiabatic Logic in 90nm Technology. - Deepak Mittal; Amit Niranjan (ICCCNT, 2018)

Recovering from Random Pruning: On the Plasticity of Deep Convolutional Neural Networks. - Deepak Mittal; Shweta Bhardwaj; Mitesh M. Khapra; Balaraman Ravindran (WACV, 2018)

Studying the plasticity in deep convolutional neural networks using random pruning. - Deepak Mittal; Shweta Bhardwaj; Mitesh M. Khapra; Balaraman Ravindran (Mach. Vis. Appl., 2019)

ProAlignNet: Unsupervised Learning for Progressively Aligning Noisy Contours. - V. S. R. Veeravasarapu; Abhishek Goel; Deepak Mittal; Maneesh Kumar Singh 001 (CVPR, 2020)

Performance Evaluation of 6T, 7T, 8T, and 9T SRAM cell Topologies at 90 nm Technology Node. - Deepak Mittal; V. K. Tomar (ICCCNT, 2020)

Perturb, Predict & Paraphrase: Semi-Supervised Learning using Noisy Student for Image Captioning. - Arjit Jain; Pranay Reddy Samala; Preethi Jyothi; Deepak Mittal; Maneesh Kumar Singh 001 (IJCAI, 2021)

Investigating Feature Selection and Explainability for COVID-19 Diagnostics from Cough Sounds. - Flávio Ávila; Amir H. Poorjam; Deepak Mittal; Charles Dognin; Ananya Muguli; Rohit Kumar; Srikanth Raj Chetupalli; Sriram Ganapathy; Maneesh Singh 001 (Interspeech, 2021)

Performance Analysis of Various CMOS SRAM Cells. - Deepak Mittal (ICCCNT, 2022)

Acoustic Representation Learning on Breathing and Speech Signals for COVID-19 Detection. - Debottam Dutta; Debarpan Bhattacharya; Sriram Ganapathy; Amir Hossein Poorjam; Deepak Mittal; Maneesh Singh 001 (INTERSPEECH, 2022)

SPLICEOUT: A Simple and Efficient Audio Augmentation Method. - Arjit Jain; Pranay Reddy Samala; Deepak Mittal; Preethi Jyothi; Maneesh Singh 001 (INTERSPEECH, 2022)

Svadhyaya system for the Second Diagnosing COVID-19 using Acoustics Challenge 2021. - Deepak Mittal; Amir H. Poorjam; Debottam Dutta; Debarpan Bhattacharya; Zemin Yu; Sriram Ganapathy; Maneesh Kumar Singh 001 (CoRR, 2022)

Interpretable Acoustic Representation Learning on Breathing and Speech Signals for COVID-19 Detection. - Debottam Dutta; Debarpan Bhattacharya; Sriram Ganapathy; Amir H. Poorjam; Deepak Mittal; Maneesh Kumar Singh 001 (CoRR, 2022)

Design a Gated PMOS Spillage Reduction Approach for CMOS SRAM Cell in 90nm Technology Node. - Deepak Mittal (ICCCNT, 2023)

SRAM Cell Leakage Reduction Methodologies for Low Leakage Cache Memories. - Deepak Mittal (ICCCNT, 2023)

A Closer Look at Bearing Fault Classification Approaches. - Harika Abburi; Tanya Chaudhary; Haider Ilyas; Lakshmi Manne; Deepak Mittal; Don Williams; Derek Snaidauf; Edward Bowen; Balaji Veeramani (CoRR, 2023)

6T SRAM Cell Based Various Spillage Reduction Techniques for Low Power Applications. - Deepak Mittal (ICCCNT, 2024)

Domain Contextual and Relational Graph Model for Predictive Maintenance. - Robert Schiller; Trupti Chavan; Akshay Kakkar; Viraj E; Don Williams; Derek Snaidauf; Edward Bowen; Deepak Mittal; Sunil R. Tiyyagura (ICMLA, 2024)

Gradient-Free Post-Hoc Explainability Using Distillation Aided Learnable Approach. - Debarpan Bhattacharya; Amir H. Poorjam; Deepak Mittal; Sriram Ganapathy (IEEE J. Sel. Top. Signal Process., 2025)