| -sne: Domain adaptation using stochastic neighborhood embedding X Xu, X Zhou, R Venkatesan, G Swaminathan, O Majumder Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 154 | 2019 |
| Supervised momentum contrastive learning for few-shot classification O Majumder, A Ravichandran, S Maji, A Achille, M Polito, S Soatto arXiv preprint arXiv:2101.11058, 2021 | 35 | 2021 |
| Incremental Meta-Learning via Indirect Discriminant Alignment Q Liu, O Majumder, A Achille, A Ravichandran, R Bhotika, S Soatto arXiv preprint arXiv:2002.04162, 2020 | 33* | 2020 |
| MARTHE: Scheduling the Learning Rate Via Online Hypergradients M Donini, L Franceschi, M Pontil, O Majumder, P Frasconi arXiv preprint arXiv:1910.08525, 2019 | 28* | 2019 |
| Estimating informativeness of samples with smooth unique information H Harutyunyan, A Achille, G Paolini, O Majumder, A Ravichandran, ... arXiv preprint arXiv:2101.06640, 2021 | 27 | 2021 |
| Automated machine learning pipeline exploration and deployment T Bansal, P Das, LP Dirac, F Li, Z Karnin, P Gautier, G Patricia, ... US Patent 11,727,314, 2023 | 16 | 2023 |
| On the scalability of diffusion-based text-to-image generation H Li, Y Zou, Y Wang, O Majumder, Y Xie, R Manmatha, A Swaminathan, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 4 | 2024 |
| Building sequence to sequence (S2S) models using previously generated S2S models with similar use cases O Majumder, V Khare, LP Dirac, S Gupta US Patent 11,748,610, 2023 | 4 | 2023 |
| Finetext: text classification via attention-based language model fine-tuning Y Tao, S Gupta, S Krishna, X Zhou, O Majumder, V Khare arXiv preprint arXiv:1910.11959, 2019 | 3 | 2019 |
| Learning the learning rate for gradient descent by gradient descent O Majumder, M Donini, P Chaudhari | 2 | 2019 |
Avinash RavichandranPrincipal Applied Scientist, Perception, CruiseVerified email at cis.jhu.edu
