| Gradient projection memory for continual learning G Saha, I Garg, K Roy arXiv preprint arXiv:2103.09762, 2021 | 234 | 2021 |
| A low effort approach to structured CNN design using PCA I Garg, P Panda, K Roy IEEE Access 8, 1347-1360, 2019 | 71 | 2019 |
| Constructing energy-efficient mixed-precision neural networks through principal component analysis for edge intelligence I Chakraborty, D Roy, I Garg, A Ankit, K Roy Nature Machine Intelligence 2 (1), 43-55, 2020 | 40 | 2020 |
| Dct-snn: Using dct to distribute spatial information over time for low-latency spiking neural networks I Garg, SS Chowdhury, K Roy Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 29 | 2021 |
| Spatio-temporal pruning and quantization for low-latency spiking neural networks SS Chowdhury, I Garg, K Roy 2021 International Joint Conference on Neural Networks (IJCNN), 1-9, 2021 | 24 | 2021 |
| Space: Structured compression and sharing of representational space for continual learning G Saha, I Garg, A Ankit, K Roy IEEE Access 9, 150480-150494, 2021 | 23 | 2021 |
| Dct-snn: Using dct to distribute spatial information over time for learning low-latency spiking neural networks I Garg, SS Chowdhury, K Roy arXiv preprint arXiv:2010.01795, 2020 | 22 | 2020 |
| Samples with low loss curvature improve data efficiency I Garg, K Roy Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 7 | 2023 |
| Encoding hierarchical information in neural networks helps in subpopulation shift A Mukherjee, I Garg, K Roy IEEE Transactions on Artificial Intelligence 5 (2), 827-838, 2023 | 6 | 2023 |
| Pcadriven hybrid network design for enabling intelligence at the edge I Chakraborty, D Roy, I Garg, A Ankit, K Roy CoRR, vol. abs/1906.01493, 2019 | 6 | 2019 |
| Intra-class mixup for out-of-distribution detection D Ravikumar, S Kodge, I Garg, K Roy IEEE Access 11, 25968-25981, 2023 | 5 | 2023 |
| Memorization through the lens of curvature of loss function around samples I Garg, K Roy arXiv preprint arXiv:2307.05831, 2023 | 4 | 2023 |
| TREND: Transferability-Based Robust ENsemble Design D Ravikumar, S Kodge, I Garg, K Roy IEEE Transactions on Artificial Intelligence 4 (3), 534-548, 2022 | 4 | 2022 |
| Exploring vicinal risk minimization for lightweight out-of-distribution detection D Ravikumar, S Kodge, I Garg, K Roy arXiv preprint arXiv:2012.08398, 2020 | 4 | 2020 |
| Estimation of SNM in latches and subsequent formation of a 10T CNFET bitcell I Garg, P Sharma 2013 Proceedings of the 11th Workshop on Intelligent Solutions in Embedded …, 2013 | 1 | 2013 |
| Revealing the Utilized Rank of Subspaces of Learning in Neural Networks I Garg, C Koguchi, E Verma, D Ulbricht arXiv preprint arXiv:2407.04797, 2024 | | 2024 |
| TOFU: Towards Obfuscated Federated Updates by Encoding Weight Updates into Gradients from Proxy Data M Nagaraj, I Garg, K Roy IEEE Access, 2024 | | 2024 |
| Pruning for Improved ADC Efficiency in Crossbar-based Analog In-memory Accelerators T Ibrayev, I Garg, I Chakraborty, K Roy arXiv preprint arXiv:2403.13082, 2024 | | 2024 |
| Introduction to Neural Networks I Garg, K Roy Advances in Electromagnetics Empowered by Artificial Intelligence and Deep …, 2023 | | 2023 |
| Spatio-Temporal Pruning and Quantization for Low-latency Spiking Neural Networks S Shafayet Chowdhury, I Garg, K Roy arXiv e-prints, arXiv: 2104.12528, 2021 | | 2021 |
