| A Data Quality-Driven View of MLOps C Renggli, L Rimanic, NM Gürel, B Karlaš, W Wu, C Zhang arXiv preprint arXiv:2102.07750, 2021 | 85 | 2021 |
| Tss: Transformation-specific smoothing for robustness certification L Li, M Weber, X Xu, L Rimanic, B Kailkhura, T Xie, C Zhang, B Li Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications …, 2021 | 66* | 2021 |
| DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation B Wang, F Wu, Y Long, L Rimanic, C Zhang, B Li ACM CCS, 2021 | 47 | 2021 |
| Knowledge Enhanced Machine Learning Pipeline against Diverse Adversarial Attacks NM Gürel, X Qi, L Rimanic, C Zhang, B Li ICML, 2021 | 40 | 2021 |
| Ease. ML: A Lifecycle Management System for Machine Learning L Aguilar Melgar, D Dao, S Gan, NM Gürel, N Hollenstein, J Jiang, ... Proceedings of the Annual Conference on Innovative Data Systems Research …, 2021 | 36* | 2021 |
| Which model to transfer? finding the needle in the growing haystack C Renggli, AS Pinto, L Rimanic, J Puigcerver, C Riquelme, C Zhang, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 19 | 2022 |
| On side lengths of corners in positive density subsets of the Euclidean space P Durcik, V Kovač, L Rimanić International Mathematics Research Notices 2018 (22), 6844-6869, 2018 | 17 | 2018 |
| Fine-tuning Language Models over Slow Networks using Activation Quantization with Guarantees. J Wang, B Yuan, L Rimanic, Y He, T Dao, B Chen, C Ré, Z Ce Proceedings of the Thirty-sixth Conference on Neural Information Processing …, 2022 | 16* | 2022 |
| On Convergence of Nearest Neighbor Classifiers over Feature Transformations L Rimanic, C Renggli, B Li, C Zhang Advances in Neural Information Processing System 33, 2020 | 12 | 2020 |
| Evaluating Bayes Error Estimators on Read-World Datasets with FeeBee C Renggli, L Rimanic, N Hollenstein, C Zhang arXiv preprint arXiv:2108.13034, 2021 | 8 | 2021 |
| Lonely runners in function fields S Chow, L Rimanić Mathematika 65 (3), 677-701, 2019 | 6 | 2019 |
| Ease. ml/snoopy in action: towards automatic feasibility analysis for machine learning application development C Renggli, L Rimanic, L Kolar, W Wu, C Zhang Proceedings of the VLDB Endowment 13 (12), 2837-2840, 2020 | 5 | 2020 |
| Automatic Feasibility Study via Data Quality Analysis for ML: A Case-Study on Label Noise C Renggli, L Rimanic, L Kolar, W Wu, C Zhang IEEE International Conference on Data Engineering (ICDE), 2023 | 4* | 2023 |
| SHiFT: An Efficient, Flexible Search Engine for Transfer Learning C Renggli, X Yao, L Kolar, L Rimanic, A Klimovic, C Zhang arXiv preprint arXiv:2204.01457, 2022 | 4 | 2022 |
| Szemerédi's Theorem in the Primes L Rimanić, J Wolf Proceedings of the Edinburgh Mathematical Society 62 (2), 443-457, 2019 | 4 | 2019 |
| Arithmetic progressions, corners and loneliness L Rimanić University of Bristol, 2018 | | 2018 |
Ce ZhangTogether AI; University of ChicagoDirección de correo verificada de together.xyz
