| Leaf: A benchmark for federated settings S Caldas, SMK Duddu, P Wu, T Li, J Konečný, HB McMahan, V Smith, ... arXiv preprint arXiv:1812.01097, 2018 | 1394 | 2018 |
| Hyperspectral tissue image segmentation using semi-supervised NMF and hierarchical clustering N Kumar, P Uppala, K Duddu, H Sreedhar, V Varma, G Guzman, M Walsh, ... IEEE transactions on medical imaging 38 (5), 1304-1313, 2018 | 44 | 2018 |
| LEAF: a benchmark for federated settings (2018) S Caldas, SMK Duddu, P Wu, T Li, J Konečný, HB McMahan, V Smith, ... arXiv preprint arXiv:1812.01097, 1812 | 35 | 1812 |
| Leaf: A benchmark for federated settings. arXiv 2018 S Caldas, SMK Duddu, P Wu, T Li, J Konecný, HB McMahan, V Smith, ... arXiv preprint arXiv:1812.01097, 1812 | 26 | 1812 |
| Gecko: Versatile text embeddings distilled from large language models J Lee, Z Dai, X Ren, B Chen, D Cer, JR Cole, K Hui, M Boratko, ... arXiv preprint arXiv:2403.20327, 2024 | 22 | 2024 |
| Leaf: A benchmark for federated settings. arXiv S Caldas, SMK Duddu, P Wu, T Li, J Konečný, HB McMahan, V Smith, ... arXiv preprint arXiv:1812.01097, 2018 | 18 | 2018 |
| Multi-vector retrieval as sparse alignment Y Qian, J Lee, SMK Duddu, Z Dai, S Brahma, I Naim, T Lei, VY Zhao arXiv preprint arXiv:2211.01267, 2022 | 14 | 2022 |
| Rethinking the role of token retrieval in multi-vector retrieval J Lee, Z Dai, SMK Duddu, T Lei, I Naim, MW Chang, V Zhao Advances in Neural Information Processing Systems 36, 2024 | 11 | 2024 |
| 317 McMahan, Virginia Smith, and Ameet Talwalkar S Caldas, SMK Duddu, P Wu, T Li, J Konecný, H Brendan Leaf: A benchmark for federated settings 213, 2019 | 6 | 2019 |
| A Parallelization Framework for Multi-Agent Reinforcement Learning Environments SMK Duddu, V Srinivasan | | |
