| The llama 3 herd of models A Dubey, A Jauhri, A Pandey, A Kadian, A Al-Dahle, A Letman, A Mathur, ... arXiv preprint arXiv:2407.21783, 2024 | 2697* | 2024 |
| Deep learning the city: Quantifying urban perception at a global scale A Dubey, N Naik, D Parikh, R Raskar, CA Hidalgo Proceedings of the European Conference on Computer Vision (ECCV), 196-212, 2016 | 567 | 2016 |
| Pairwise confusion for fine-grained visual classification A Dubey, O Gupta, P Guo, R Raskar, R Farrell, N Naik Proceedings of the European Conference on Computer Vision (ECCV), 70-86, 2018 | 283 | 2018 |
| Maximum-entropy fine-grained classification A Dubey, O Gupta, R Raskar, N Naik Advances in Neural Information Processing Systems 31, 2018 | 236 | 2018 |
| Emu: Enhancing image generation models using photogenic needles in a haystack X Dai, J Hou, CY Ma, S Tsai, J Wang, R Wang, P Zhang, S Vandenhende, ... arXiv preprint arXiv:2309.15807, 2023 | 159 | 2023 |
| No Peek: A Survey of private distributed deep learning P Vepakomma, T Swedish, R Raskar, O Gupta, A Dubey arXiv preprint arXiv:1812.03288, 2018 | 142 | 2018 |
| Differentially-Private Federated Linear Bandits A Dubey, A Pentland Advances in Neural Information Processing Systems, 2020 | 132 | 2020 |
| Reducing leakage in distributed deep learning for sensitive health data P Vepakomma, O Gupta, A Dubey, R Raskar arXiv preprint arXiv:1812.00564 2, 8, 2019 | 112 | 2019 |
| Coreset-Based Neural Network Compression A Dubey, M Chatterjee, N Ahuja Proceedings of the European Conference on Computer Vision (ECCV), 454-470, 2018 | 104 | 2018 |
| Adaptive methods for real-world domain generalization A Dubey, V Ramanathan, A Pentland, D Mahajan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 101 | 2021 |
| Paco: Parts and attributes of common objects V Ramanathan, A Kalia, V Petrovic, Y Wen, B Zheng, B Guo, R Wang, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 89 | 2023 |
| Filtering, distillation, and hard negatives for vision-language pre-training F Radenovic, A Dubey, A Kadian, T Mihaylov, S Vandenhende, Y Patel, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 81 | 2023 |
| Defense against adversarial images using web-scale nearest-neighbor search A Dubey, L Maaten, Z Yalniz, Y Li, D Mahajan Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 69 | 2019 |
| Neural basis models for interpretability F Radenovic, A Dubey, D Mahajan Advances in Neural Information Processing Systems 35, 8414-8426, 2022 | 58 | 2022 |
| Cooperative multi-agent bandits with heavy tails A Dubey, A Pentland International Conference on Machine Learning, 2730-2739, 2020 | 56 | 2020 |
| Closing the AI Knowledge Gap Z Epstein, BH Payne, JH Shen, A Dubey, B Felbo, M Groh, N Obradovich, ... arXiv preprint arXiv:1803.07233, 2018 | 50 | 2018 |
| Cola: A benchmark for compositional text-to-image retrieval A Ray, F Radenovic, A Dubey, B Plummer, R Krishna, K Saenko Advances in Neural Information Processing Systems 36, 2024 | 46* | 2024 |
| Scalable interpretability via polynomials A Dubey, F Radenovic, D Mahajan Advances in neural information processing systems 35, 36748-36761, 2022 | 41 | 2022 |
| Kernel methods for cooperative multi-agent contextual bandits A Dubey, A Pentland International Conference on Machine Learning, 2740-2750, 2020 | 40 | 2020 |
| MemeSequencer: Sparse Matching for Embedding Image Macros A Dubey, E Moro, M Cebrian, I Rahwan Proceedings of the 2018 World Wide Web Conference on World Wide Web, 1225-1235, 2018 | 38 | 2018 |
Alex `Sandy' PentlandProfessor MITVerified email at mit.edu