| Driving in the matrix: Can virtual worlds replace human-generated annotations for real world tasks? M Johnson-Roberson, C Barto, R Mehta, SN Sridhar, K Rosaen, ... arXiv preprint arXiv:1610.01983, 2016 | 735 | 2016 |
| Compact scene graphs for layout composition and patch retrieval S Tripathi, S Nittur Sridhar, S Sundaresan, H Tang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 15 | 2019 |
| Driving in the matrix: Can virtual worlds replace human-generated annotations for real world tasks? arXiv 2016 M Johnson-Roberson, C Barto, R Mehta, SN Sridhar, K Rosaen, ... arXiv preprint arXiv:1610.01983, 0 | 15 | |
| Attention-based image upsampling S Kundu, H Mostafa, SN Sridhar, S Sundaresan arXiv preprint arXiv:2012.09904, 2020 | 12 | 2020 |
| Undivided attention: Are intermediate layers necessary for BERT? SN Sridhar, A Sarah arXiv preprint arXiv:2012.11881, 2020 | 10 | 2020 |
| Sparse mixture once-for-all adversarial training for efficient in-situ trade-off between accuracy and robustness of dnns S Kundu, S Sundaresan, SN Sridhar, S Lu, H Tang, PA Beerel ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 5 | 2023 |
| A hardware-aware framework for accelerating neural architecture search across modalities D Cummings, A Sarah, SN Sridhar, M Szankin, JP Munoz, S Sundaresan arXiv preprint arXiv:2205.10358, 2022 | 5 | 2022 |
| Trimbert: Tailoring bert for trade-offs SN Sridhar, A Sarah, S Sundaresan arXiv preprint arXiv:2202.12411, 2022 | 3 | 2022 |
| Machine learning model scaling system with energy efficient network data transfer for power aware hardware DJ Cummings, JP Munoz, S Kundu, SN Sridhar, M Szankin US Patent App. 17/506,161, 2022 | 3 | 2022 |
| Deep neural network model design enhanced by real-time proxy evaluation feedback DJ Cummings, SN Sridhar US Patent App. 17/497,736, 2022 | 3 | 2022 |
| Fast weight long short-term memory TA Keller, SN Sridhar, X Wang arXiv preprint arXiv:1804.06511, 2018 | 3 | 2018 |
| On optimizing human-machine task assignments A Veit, M Wilber, R Vaish, S Belongie, J Davis, V Anand, A Aviral, ... arXiv preprint arXiv:1509.07543, 2015 | 3 | 2015 |
| Instatune: Instantaneous neural architecture search during fine-tuning SN Sridhar, S Kundu, S Sundaresan, M Szankin, A Sarah Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 2 | 2023 |
| LLaMA-NAS: Efficient Neural Architecture Search for Large Language Models A Sarah, SN Sridhar, M Szankin, S Sundaresan arXiv preprint arXiv:2405.18377, 2024 | 1 | 2024 |
| Sensi-BERT: Towards Sensitivity Driven Fine-Tuning for Parameter-Efficient BERT S Kundu, SS Nittur, M Szankin, S Sundaresan arXiv preprint arXiv:2307.11764, 2023 | 1 | 2023 |
| A hardware-aware system for accelerating deep neural network optimization A Sarah, D Cummings, SN Sridhar, S Sundaresan, M Szankin, T Webb, ... arXiv preprint arXiv:2202.12954, 2022 | 1 | 2022 |
| Hardware-aware machine learning model search mechanisms SN Sridhar, A Sarah US Patent App. 17/504,996, 2022 | 1 | 2022 |
| Polarized light Monte Carlo modeling for multiparticle distribution of scatterers R Manjappa, C Devaraj, NS Sharath, SM Shankaranarayana, R Hebbar, ... International Conference on Fibre Optics and Photonics, S5A. 2, 2014 | 1 | 2014 |
| Sensi-Bert: Towards Sensitivity Driven Fine-Tuning for Parameter-Efficient Language Model S Kundu, SN Sridhar, M Szankin, S Sundaresan ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | | 2024 |
| SimQ-NAS: Simultaneous Quantization Policy and Neural Architecture Search SN Sridhar, M Szankin, F Chen, S Sundaresan, A Sarah arXiv preprint arXiv:2312.13301, 2023 | | 2023 |
