Cdric Renggli
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
10
Venues
9
Active years
2019–2023
Best venue rank
A*
Where they publish
Papers
10 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2023 | ICDE | Automatic Feasibility Study via Data Quality Analysis for ML: A Case-Study on Label Noise. | Cdric Renggli, Luka Rimanic, Luka Kolar, Wentao Wu, Ce Zhang |
| 2023 | SC | Co-design Hardware and Algorithm for Vector Search. | Wenqi Jiang, Shigang Li, Yu Zhu, Johannes de Fine Licht, Zhenhao He, Runbin Shi, Cdric Renggli, Shuai Zhang, Theodoros Rekatsinas, Torsten Hoefler, Gustavo Alonso |
| 2022 | CVPR | Which Model to Transfer? Finding the Needle in the Growing Haystack. | Cdric Renggli, Andr Susano Pinto, Luka Rimanic, Joan Puigcerver, Carlos Riquelme, Ce Zhang, Mario Lucic |
| 2022 | LREC | Dynamic Human Evaluation for Relative Model Comparisons. | Thrhildur Thorleiksdttir, Cdric Renggli, Nora Hollenstein, Ce Zhang |
| 2022 | SIGMOD | In-Database Machine Learning with CorgiPile: Stochastic Gradient Descent without Full Data Shuffle. | Lijie Xu, Shuang Qiu, Binhang Yuan, Jiawei Jiang, Cdric Renggli, Shaoduo Gan, Kaan Kara, Guoliang Li, Ji Liu, Wentao Wu, Jieping Ye, Ce Zhang |
| 2021 | CIDR | Ease.ML: A Lifecycle Management System for Machine Learning. | Leonel Aguilar Melgar, David Dao, Shaoduo Gan, Nezihe Merve Grel, Nora Hollenstein, Jiawei Jiang, Bojan Karlas, Thomas Lemmin, Tian Li, Yang Li, Susie Xi Rao, Johannes Rausch, Cdric Renggli, Luka Rimanic, Maurice Weber, Shuai Zhang, Zhikuan Zhao, Kevin Schawinski, Wentao Wu, Ce Zhang |
| 2021 | ICLR | Scalable Transfer Learning with Expert Models. | Joan Puigcerver, Carlos Riquelme Ruiz, Basil Mustafa, Cdric Renggli, Andr Susano Pinto, Sylvain Gelly, Daniel Keysers, Neil Houlsby |
| 2020 | KDD | Building Continuous Integration Services for Machine Learning. | Bojan Karlas, Matteo Interlandi, Cdric Renggli, Wentao Wu, Ce Zhang, Deepak Mukunthu Iyappan Babu, Jordan Edwards, Chris Lauren, Andy Xu, Markus Weimer |
| 2019 | ICML | Distributed Learning over Unreliable Networks. | Chen Yu, Hanlin Tang, Cdric Renggli, Simon Kassing, Ankit Singla, Dan Alistarh, Ce Zhang, Ji Liu |
| 2019 | SC | SparCML: high-performance sparse communication for machine learning. | Cdric Renggli, Saleh Ashkboos, Mehdi Aghagolzadeh, Dan Alistarh, Torsten Hoefler |