| Recovering from random pruning: On the plasticity of deep convolutional neural networks D Mittal, S Bhardwaj, MM Khapra, B Ravindran 2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 848-857, 2018 | 71 | 2018 |
| Studying the plasticity in deep convolutional neural networks using random pruning D Mittal, S Bhardwaj, MM Khapra, B Ravindran Machine Vision and Applications 30 (2), 203-216, 2019 | 37 | 2019 |
| Training a deep learning architecture for vehicle detection using limited heterogeneous traffic data D Mittal, A Reddy, G Ramadurai, K Mitra, B Ravindran 2018 10th international conference on communication systems & networks …, 2018 | 22 | 2018 |
| Spliceout: A simple and efficient audio augmentation method A Jain, PR Samala, D Mittal, P Jyoti, M Singh arXiv preprint arXiv:2110.00046, 2021 | 14 | 2021 |
| Investigating Feature Selection and Explainability for COVID-19 Diagnostics from Cough Sounds. F Avila, AH Poorjam, D Mittal, C Dognin, A Muguli, R Kumar, ... Interspeech 6, 4246-4250, 2021 | 10 | 2021 |
| The effect of pretraining on extractive summarization for scientific documents Y Gupta, PS Ammanamanchi, S Bordia, A Manoharan, D Mittal, ... Proceedings of the Second Workshop on Scholarly Document Processing, 73-82, 2021 | 7 | 2021 |
| Perturb, Predict & Paraphrase: Semi-Supervised Learning using Noisy Student for Image Captioning A Jain, PR Samala, P Jyothi, D Mittal, M Singh International Joint Conference on Artificial Intelligence (IJCAI 2021), 2021 | 6 | 2021 |
| Proalignnet: Unsupervised learning for progressively aligning noisy contours VSR Veeravasarapu, A Goel, D Mittal, M Singh Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 6 | 2020 |
| Delores: Decorrelating latent spaces for low-resource audio representation learning SU Sreyan Ghosh, Ashish Seth, Deepak Mittal, Maneesh Singh The 2nd Workshop on Self-supervised Learning for Audio and Speech Processing …, 2022 | 4* | 2022 |
| Interpretable acoustic representation learning on breathing and speech signals for covid-19 detection D Dutta, D Bhattacharya, S Ganapathy, AH Poorjam, D Mittal, M Singh arXiv preprint arXiv:2206.13365, 2022 | 2 | 2022 |
| Vehicle Classification on Low-resolution and Occluded images: A low-cost labeled dataset for augmentation D Mittal, MA Reddy, G Ramadurai, K Mitra, B Ravindran | 1 | 2017 |
| Computer Vision Systems and Methods for Unsupervised Learning for Progressively Aligning Noisy Contours VS Veeravasarapu, A Goel, D Mittal, MK Singh US Patent App. 18/124,548, 2024 | | 2024 |
| Computer vision systems and methods for detecting and aligning land property boundaries on aerial imagery VS Veeravarasapu, D Mittal US Patent 11,847,824, 2023 | | 2023 |
| DAME: A Distillation Based Approach For Model-agnostic Local Explainability D Bhattacharya, AH Poorjam, D Mittal, S Ganapathy | | 2023 |
| Computer vision systems and methods for unsupervised learning for progressively aligning noisy contours VS Veeravasarapu, A Goel, D Mittal, MK Singh US Patent 11,610,322, 2023 | | 2023 |
| Svadhyaya system for the Second Diagnosing COVID-19 using Acoustics Challenge 2021 D Mittal, AH Poorjam, D Dutta, D Bhattacharya, Z Yu, S Ganapathy, ... arXiv preprint arXiv:2206.05462, 2022 | | 2022 |
| High-Frequency guided Curriculum Learning for Class-specific Object Boundary Detection VSR Veeravasarapu, D Mittal, A Goel, M Singh | | 2019 |
| The Social Impact of Training and Development on Employees Performance and Social Productivity: a case study of Banking Sector DRT MITTAL, M SINGH, NET MA | | |
| Supplementary Material for ProAlignNet: Unsupervised Learning for Progressively Aligning Noisy Contours VSR Veeravasarapu, A Goel, D Mittal, M Singh, AI Verisk, V Analytics | | |
Maneesh SinghAI R&D. Indic aiDias. Spector.aiVerified email at ieee.org
