The convergence of sparsified gradient methods D Alistarh, T Hoefler, M Johansson, N Konstantinov, S Khirirat, C Renggli Advances in Neural Information Processing Systems 31, 2018 | 597 | 2018 |
SparCML: High-performance sparse communication for machine learning C Renggli, S Ashkboos, M Aghagolzadeh, D Alistarh, T Hoefler Proceedings of the International Conference for High Performance Computing …, 2019 | 148 | 2019 |
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 | 92 | 2021 |
Distributed learning over unreliable networks C Yu, H Tang, C Renggli, S Kassing, A Singla, D Alistarh, C Zhang, J Liu International Conference on Machine Learning, 7202-7212, 2019 | 72 | 2019 |
Learning to merge tokens in vision transformers C Renggli, AS Pinto, N Houlsby, B Mustafa, J Puigcerver, C Riquelme arXiv preprint arXiv:2202.12015, 2022 | 64 | 2022 |
Scalable transfer learning with expert models J Puigcerver, C Riquelme, B Mustafa, C Renggli, AS Pinto, S Gelly, ... arXiv preprint arXiv:2009.13239, 2020 | 64 | 2020 |
Continuous integration of machine learning models with ease. ml/ci: Towards a rigorous yet practical treatment C Renggli, B Karlaš, B Ding, F Liu, K Schawinski, W Wu, C Zhang Proceedings of Machine Learning and Systems 1, 322-333, 2019 | 49 | 2019 |
Decoding EEG brain activity for multi-modal natural language processing N Hollenstein, C Renggli, B Glaus, M Barrett, M Troendle, N Langer, ... Frontiers in Human Neuroscience 15, 659410, 2021 | 40 | 2021 |
Building continuous integration services for machine learning B Karlaš, M Interlandi, C Renggli, W Wu, C Zhang, ... Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 40 | 2020 |
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 | 27 | 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 | 21 | 2022 |
Co-design hardware and algorithm for vector search W Jiang, S Li, Y Zhu, J de Fine Licht, Z He, R Shi, C Renggli, S Zhang, ... Proceedings of the International Conference for High Performance Computing …, 2023 | 17 | 2023 |
Ease. ml/ci and ease. ml/meter in action: Towards data management for statistical generalization C Renggli, FA Hubis, B Karlaš, K Schawinski, W Wu, C Zhang Proceedings of the VLDB Endowment 12 (12), 1962-1965, 2019 | 15 | 2019 |
In-database machine learning with corgipile: Stochastic gradient descent without full data shuffle L Xu, S Qiu, B Yuan, J Jiang, C Renggli, S Gan, K Kara, G Li, J Liu, W Wu, ... Proceedings of the 2022 International Conference on Management of Data, 1286 …, 2022 | 14 | 2022 |
Observer dependent lossy image compression M Weber, C Renggli, H Grabner, C Zhang Pattern Recognition: 42nd DAGM German Conference, DAGM GCPR 2020, Tübingen …, 2021 | 12 | 2021 |
On convergence of nearest neighbor classifiers over feature transformations L Rimanic, C Renggli, B Li, C Zhang Advances in Neural Information Processing Systems 33, 12521-12532, 2020 | 12 | 2020 |
Lossy image compression with recurrent neural networks: from human perceived visual quality to classification accuracy M Weber, C Renggli, H Grabner, C Zhang arXiv preprint arXiv:1910.03472, 2019 | 11 | 2019 |
Ease. ml: A lifecycle management system for mldev and mlops L Aguilar, D Dao, S Gan, NM Gurel, N Hollenstein, J Jiang, B Karlas, ... Conference on Innovative Data Systems Research (CIDR 2021), 2021 | 9 | 2021 |
Speeding up percolator JT Halloran, H Zhang, K Kara, C Renggli, M The, C Zhang, DM Rocke, ... Journal of proteome research 18 (9), 3353-3359, 2019 | 9 | 2019 |
Deepse-wf: Unified security estimation for website fingerprinting defenses A Veicht, C Renggli, D Barradas arXiv preprint arXiv:2203.04428, 2022 | 8 | 2022 |