Deepak Mittal - RankMe

25 papers A* 2A 4C 1Misc 1Journal 10Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Gradient-Free Post-Hoc Explainability Using Distillation Aided Learnable Approach. IEEE J. Sel. Top. Signal Process. Debarpan Bhattacharya, Amir H. Poorjam, Deepak Mittal, Sriram Ganapathy
2024	—	`conf`	6T SRAM Cell Based Various Spillage Reduction Techniques for Low Power Applications. ICCCNT Deepak Mittal
2024	C	`conf`	Domain Contextual and Relational Graph Model for Predictive Maintenance. ICMLA Robert Schiller, Trupti Chavan, Akshay Kakkar, Viraj E, Don Williams, Derek Snaidauf, Edward Bowen, Deepak Mittal, Sunil R. Tiyyagura
2024	J	`jnl`	Gradient-free Post-hoc Explainability Using Distillation Aided Learnable Approach. CoRR Debarpan Bhattacharya, Amir H. Poorjam, Deepak Mittal, Sriram Ganapathy
2023	J	`jnl`	A Closer Look at Bearing Fault Classification Approaches. CoRR Harika Abburi, Tanya Chaudhary, Haider Ilyas, Lakshmi Manne, Deepak Mittal, Don Williams, Derek Snaidauf, Edward Bowen, Balaji Veeramani
2023	—	`conf`	Design a Gated PMOS Spillage Reduction Approach for CMOS SRAM Cell in 90nm Technology Node. ICCCNT Deepak Mittal
2023	—	`conf`	SRAM Cell Leakage Reduction Methodologies for Low Leakage Cache Memories. ICCCNT Deepak Mittal
2022	A	`conf`	Acoustic Representation Learning on Breathing and Speech Signals for COVID-19 Detection. INTERSPEECH Debottam Dutta, Debarpan Bhattacharya, Sriram Ganapathy, Amir Hossein Poorjam, Deepak Mittal, Maneesh Singh
2022	J	`jnl`	Interpretable Acoustic Representation Learning on Breathing and Speech Signals for COVID-19 Detection. CoRR Debottam Dutta, Debarpan Bhattacharya, Sriram Ganapathy, Amir H. Poorjam, Deepak Mittal, Maneesh Kumar Singh
2022	—	`conf`	Performance Analysis of Various CMOS SRAM Cells. ICCCNT Deepak Mittal
2022	A	`conf`	SPLICEOUT: A Simple and Efficient Audio Augmentation Method. INTERSPEECH Arjit Jain, Pranay Reddy Samala, Deepak Mittal, Preethi Jyothi, Maneesh Singh
2022	J	`jnl`	Svadhyaya system for the Second Diagnosing COVID-19 using Acoustics Challenge 2021. CoRR Deepak Mittal, Amir H. Poorjam, Debottam Dutta, Debarpan Bhattacharya, Zemin Yu, Sriram Ganapathy, Maneesh Kumar Singh
2021	A	`conf`	Investigating Feature Selection and Explainability for COVID-19 Diagnostics from Cough Sounds. Interspeech Flávio Ávila, Amir H. Poorjam, Deepak Mittal, Charles Dognin, Ananya Muguli, Rohit Kumar, Srikanth Raj Chetupalli, Sriram Ganapathy, Maneesh Singh
2021	A*	`conf`	Perturb, Predict & Paraphrase: Semi-Supervised Learning using Noisy Student for Image Captioning. IJCAI Arjit Jain, Pranay Reddy Samala, Preethi Jyothi, Deepak Mittal, Maneesh Kumar Singh
2021	J	`jnl`	SpliceOut: A Simple and Efficient Audio Augmentation Method. CoRR Arjit Jain, Pranay Reddy Samala, Deepak Mittal, Preethi Jyothi, Maneesh Singh
2020	—	`conf`	Performance Evaluation of 6T, 7T, 8T, and 9T SRAM cell Topologies at 90 nm Technology Node. ICCCNT Deepak Mittal, V. K. Tomar
2020	J	`jnl`	ProAlignNet : Unsupervised Learning for Progressively Aligning Noisy Contours. CoRR V. S. R. Veeravasarapu, Abhishek Goel, Deepak Mittal, Maneesh Kumar Singh
2020	A*	`conf`	ProAlignNet: Unsupervised Learning for Progressively Aligning Noisy Contours. CVPR V. S. R. Veeravasarapu, Abhishek Goel, Deepak Mittal, Maneesh Kumar Singh
2019	J	`jnl`	Studying the plasticity in deep convolutional neural networks using random pruning. Mach. Vis. Appl. Deepak Mittal, Shweta Bhardwaj, Mitesh M. Khapra, Balaraman Ravindran
2018	—	`conf`	Designing of Multiplexer and De-Multiplexer Using Different Adiabatic Logic in 90nm Technology. ICCCNT Deepak Mittal, Amit Niranjan
2018	A	`conf`	Recovering from Random Pruning: On the Plasticity of Deep Convolutional Neural Networks. WACV Deepak Mittal, Shweta Bhardwaj, Mitesh M. Khapra, Balaraman Ravindran
2018	J	`jnl`	Recovering from Random Pruning: On the Plasticity of Deep Convolutional Neural Networks. CoRR Deepak Mittal, Shweta Bhardwaj, Mitesh M. Khapra, Balaraman Ravindran
2018	J	`jnl`	Studying the Plasticity in Deep Convolutional Neural Networks using Random Pruning. CoRR Deepak Mittal, Shweta Bhardwaj, Mitesh M. Khapra, Balaraman Ravindran
2018	Misc	`conf`	Training a deep learning architecture for vehicle detection using limited heterogeneous traffic data. COMSNETS Deepak Mittal, Avinash Reddy, Gitakrishnan Ramadurai, Kaushik Mitra, Balaraman Ravindran
2014	—	`conf`	An Error Analysis Tool for Natural Language Processing and Applied Machine Learning. COLING (Demos) Apoorv Agarwal, Ankit Agarwal, Deepak Mittal