DROCC: Deep Robust One-Class Classification S Goyal, A Raghunathan, M Jain, HV Simhadri, P Jain International Conference on Machine Learning (ICML), 2020 | 187 | 2020 |
Finetune like you pretrain: Improved finetuning of zero-shot vision models S Goyal, A Kumar, S Garg, Z Kolter, A Raghunathan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 114 | 2023 |
Test time adaptation via conjugate pseudo-labels S Goyal, M Sun, A Raghunathan, JZ Kolter Advances in Neural Information Processing Systems 35, 6204-6218, 2022 | 79 | 2022 |
EdgeML: Machine Learning for resource-constrained edge devices HVS Don Kurian Dennis, Yash Gaurkar, Sridhar Gopinath, Sachin Goyal, Chirag ... https://github.com/microsoft/EdgeML, 2017 | 44* | 2017 |
Met: Masked encoding for tabular data K Majmundar, S Goyal, P Netrapalli, P Jain arXiv preprint arXiv:2206.08564, 2022 | 34 | 2022 |
Think before you speak: Training language models with pause tokens S Goyal, Z Ji, AS Rawat, AK Menon, S Kumar, V Nagarajan arXiv preprint arXiv:2310.02226, 2023 | 31 | 2023 |
T-mars: Improving visual representations by circumventing text feature learning P Maini, S Goyal, ZC Lipton, JZ Kolter, A Raghunathan arXiv preprint arXiv:2307.03132, 2023 | 27 | 2023 |
Scaling Laws for Data Filtering--Data Curation cannot be Compute Agnostic S Goyal, P Maini, ZC Lipton, A Raghunathan, JZ Kolter Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 17 | 2024 |
PAL: Pretext-based Active Learning S Bhatnagar, S Goyal, D Tank, A Sethi British Machine Vision Conference (BMVC), 2021, 2021 | 10 | 2021 |
Edgeml: machine learning for resource-constrained edge devices (2020) DK Dennis, Y Gaurkar, S Gopinath, S Goyal, C Gupta, M Jain, S Jaiswal URL https://github. com/Microsoft/EdgeML, 0 | 6 | |
The Science of Data Filtering: Data Curation Cannot Be Compute Agnostic S Goyal, P Maini, ZC Lipton, A Raghunathan, JZ Kolter ICLR 2024 Workshop on Navigating and Addressing Data Problems for Foundation …, 2024 | 2 | 2024 |
Indoor Distance Estimation using LSTMs over WLAN Network P Sankhe, S Azim, S Goyal, T Choudhary, K Appaiah, S Srikant 2019 16th Workshop on Positioning, Navigation and Communications (WPNC), 1-6, 2019 | 1 | 2019 |
Improving self super resolution in magnetic resonance images S Goyal, C Zhao, A Jog, JL Prince, A Carass Medical Imaging 2018: Biomedical Applications in Molecular, Structural, and …, 2018 | 1 | 2018 |
Inference Optimal VLMs Need Only One Visual Token but Larger Models KY Li, S Goyal, JD Semedo, JZ Kolter arXiv preprint arXiv:2411.03312, 2024 | | 2024 |
Context-Parametric Inversion: Why Instruction Finetuning May Not Actually Improve Context Reliance S Goyal, C Baek, JZ Kolter, A Raghunathan arXiv preprint arXiv:2410.10796, 2024 | | 2024 |
System and method for test-time adaptation via conjugate pseudolabels SUN Mingjie, S Goyal, A Raghunathan, J Kolter, WY Lin US Patent App. 17/868,267, 2024 | | 2024 |
Indoor positioning system for position estimation in an indoor environment Pranav Sankhe, Saqib Azim, Sachin Goyal IN Patent App. 201,821,047,043, 0 | | |