SHiFT: An Efficient, Flexible Search Engine for Transfer Learning
Cedric Renggli, Xiaozhe Yao, Luka Kolar, Luka Rimanic, Ana Klimovic and Ce Zhang
International Conference on Very Large Data Bases (VLDB) 2023
Automatic Feasibility Study via Data Quality Analysis for ML: A Case-Study on Label Noise
Cedric Renggli*, Luka Rimanic*, Luka Kolar*, Wentao Wu and Ce Zhang
IEEE International Conference on Data Engineering (ICDE) 2023
DeepSE-WF: Unified Security Estimation for Website Fingerprinting Defenses
Alexander Veicht, Cedric Renggli and Diogo Barradas
Privacy Enhancing Technologies Symposium (PETS) 2023
Which Model to Transfer? Finding the Needle in the Growing Haystack
Cedric Renggli, Andre Susano Pinto, Luka Rimanic, Joan Puigcerver, Carlos Riquelme, Ce Zhang and Mario Lucic
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022
Dynamic Human Evaluation for Relative Model Comparisons
Thórhildur Thorleiksdóttir, Cedric Renggli, Nora Hollenstein and Ce Zhang
Language Resources and Evaluation Conference (LREC) 2022
In-Database Machine Learning with CorgiPile: Stochastic Gradient Descent without Full Data Shuffle
Lijie Xu, ..., Cedric Renggli, ..., Wentao Wu and Ce Zhang
ACM Special Interest Group in Management Of Data (SIGMOD) 2022
Learning to Merge Tokens in Vision Transformers
Cedric Renggli*, Andre Susano Pinto*, Neil Houlsby, Basil Mustafa, Joan Puigcerver and Carlos Riquelme*
Sparsity in Neural Networks (SSN) Workshop, Honorable Mentions
Evaluating Bayes Error Estimators on Real-World Datasets with FeeBee
Cedric Renggli*, Luka Rimanic*, Nora Hollenstein and Ce Zhang
Neural Information Processing Systems (NeurIPS) 2021, Datasets and Benchmarks
A Data Quality-Driven View of MLOps
Cedric Renggli, Luka Rimanic, Nezihe Merve Gürel, Bojan Karlaš, Wentao Wu and Ce Zhang
IEEE Data Engineering Bulletin March 2021
Scalable Transfer Learning with Expert Models
Joan Puigcerver, Carlos Riquelme, Basil Mustafa, Cedric Renggli, Andre Susano Pinto, Sylvain Gelly, Daniel Keysers and Neil Houlsby
International Conference on Learning Representations (ICLR) 2021
Ease.ML: A Lifecycle Management System for MLDev and MLOps
Aguilar Leonel, ..., Cedric Renggli, ..., Wentao Wu and Ce Zhang
Conference on Innovative Data Systems Research (CIDR) 2021
Decoding EEG Brain Activity for Multi-Modal Natural Language Processing
Nora Hollenstein, Cedric Renggli, Benjamin Glaus, Maria Barrett, Marius Troendle, Nicolas Langer and Ce Zhang
Frontiers in Human Neuroscience Vol. 15 2021
On Convergence of Nearest Neighbor Classifiers over Feature Transformations
Luka Rimanic*, Cedric Renggli*, Bo Li and Ce Zhang
Neural Information Processing Systems (NeurIPS) 2020
Ease.ml/snoopy in Action: Towards Automatic Feasibility Analysis for Machine Learning Application Development
Cedric Renggli*, Luka Rimanic*, Luka Kolar, Wentao Wu and Ce Zhang
International Conference on Very Large Data Bases (VLDB) 2020, Demo
Observer Dependent Lossy Image Compression
Maurice Weber, Cedric Renggli, Helmut Grabner and Ce Zhang
German Conference on Pattern Recognition (DAGM-GCPR) 2020
Building Continuous Integration Services for Machine Learning
Bojan Karlaš, Matteo Interlandi, Cedric Renggli, Wentao Wu, Ce Zhang, Deepak Mukunthu Iyappan Babu, Jordan Edwards, Chris Lauren, Andy Xu and Markus Weimer
Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD) 2020, Applied Data Science, Oral Presentation 44/756