Luka Rimanic - RankMe

23 papers A* 7A 1C 1Journal 13Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	C	`conf`	What Types of Automated Tests do Developers Write? AST Marko Ivankovic, Luka Rimanic, Ivan Budiselic, Goran Petrovic, Gordon Fraser, René Just
2023	A*	`conf`	Automatic Feasibility Study via Data Quality Analysis for ML: A Case-Study on Label Noise. ICDE Cédric Renggli, Luka Rimanic, Luka Kolar, Wentao Wu, Ce Zhang
2022	J	`jnl`	Fine-tuning Language Models over Slow Networks using Activation Compression with Guarantees. CoRR Jue Wang, Binhang Yuan, Luka Rimanic, Yongjun He, Tri Dao, Beidi Chen, Christopher Ré, Ce Zhang
2022	A*	`conf`	Fine-tuning Language Models over Slow Networks using Activation Quantization with Guarantees. NeurIPS Jue Wang, Binhang Yuan, Luka Rimanic, Yongjun He, Tri Dao, Beidi Chen, Christopher Ré, Ce Zhang
2022	J	`jnl`	SHiFT: An Efficient, Flexible Search Engine for Transfer Learning. CoRR Cédric Renggli, Xiaozhe Yao, Luka Kolar, Luka Rimanic, Ana Klimovic, Ce Zhang
2022	J	`jnl`	SHiFT: An Efficient, Flexible Search Engine for Transfer Learning. Proc. VLDB Endow. Cédric Renggli, Xiaozhe Yao, Luka Kolar, Luka Rimanic, Ana Klimovic, Ce Zhang
2022	A*	`conf`	Which Model to Transfer? Finding the Needle in the Growing Haystack. CVPR Cédric Renggli, André Susano Pinto, Luka Rimanic, Joan Puigcerver, Carlos Riquelme, Ce Zhang, Mario Lucic
2021	J	`jnl`	A Data Quality-Driven View of MLOps. CoRR Cédric Renggli, Luka Rimanic, Nezihe Merve Gürel, Bojan Karlas, Wentao Wu, Ce Zhang
2021	J	`jnl`	A Data Quality-Driven View of MLOps. IEEE Data Eng. Bull. Cédric Renggli, Luka Rimanic, Nezihe Merve Gürel, Bojan Karlas, Wentao Wu, Ce Zhang
2021	A*	`conf`	DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation. CCS Boxin Wang, Fan Wu, Yunhui Long, Luka Rimanic, Ce Zhang, Bo Li
2021	J	`jnl`	DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation. CoRR Boxin Wang, Fan Wu, Yunhui Long, Luka Rimanic, Ce Zhang, Bo Li
2021	A	`conf`	Ease.ML: A Lifecycle Management System for Machine Learning. CIDR Leonel Aguilar Melgar, David Dao, Shaoduo Gan, Nezihe Merve Gürel, Nora Hollenstein, Jiawei Jiang, Bojan Karlas, Thomas Lemmin, Tian Li, Yang Li, Susie Xi Rao, Johannes Rausch, Cédric Renggli, Luka Rimanic, Maurice Weber, Shuai Zhang, Zhikuan Zhao, Kevin Schawinski, Wentao Wu, Ce Zhang
2021	J	`jnl`	Evaluating Bayes Error Estimators on Read-World Datasets with FeeBee. CoRR Cédric Renggli, Luka Rimanic, Nora Hollenstein, Ce Zhang
2021	—	`conf`	Evaluating Bayes Error Estimators on Real-World Datasets with FeeBee. NeurIPS Datasets and Benchmarks Cédric Renggli, Luka Rimanic, Nora Hollenstein, Ce Zhang
2021	A*	`conf`	Knowledge Enhanced Machine Learning Pipeline against Diverse Adversarial Attacks. ICML Nezihe Merve Gürel, Xiangyu Qi, Luka Rimanic, Ce Zhang, Bo Li
2021	J	`jnl`	Knowledge Enhanced Machine Learning Pipeline against Diverse Adversarial Attacks. CoRR Nezihe Merve Gürel, Xiangyu Qi, Luka Rimanic, Ce Zhang, Bo Li
2021	A*	`conf`	TSS: Transformation-Specific Smoothing for Robustness Certification. CCS Linyi Li, Maurice Weber, Xiaojun Xu, Luka Rimanic, Bhavya Kailkhura, Tao Xie, Ce Zhang, Bo Li
2020	J	`jnl`	Ease.ml/snoopy in Action: Towards Automatic Feasibility Analysis for Machine Learning Application Development. Proc. VLDB Endow. Cédric Renggli, Luka Rimanic, Luka Kolar, Wentao Wu, Ce Zhang
2020	J	`jnl`	On Automatic Feasibility Study for Machine Learning Application Development with ease.ml/snoopy. CoRR Cédric Renggli, Luka Rimanic, Luka Kolar, Nora Hollenstein, Wentao Wu, Ce Zhang
2020	A*	`conf`	On Convergence of Nearest Neighbor Classifiers over Feature Transformations. NeurIPS Luka Rimanic, Cédric Renggli, Bo Li, Ce Zhang
2020	J	`jnl`	On Convergence of Nearest Neighbor Classifiers over Feature Transformations. CoRR Luka Rimanic, Cédric Renggli, Bo Li, Ce Zhang
2020	J	`jnl`	Provable Robust Learning Based on Transformation-Specific Smoothing. CoRR Linyi Li, Maurice Weber, Xiaojun Xu, Luka Rimanic, Tao Xie, Ce Zhang, Bo Li
2020	J	`jnl`	Which Model to Transfer? Finding the Needle in the Growing Haystack. CoRR Cédric Renggli, André Susano Pinto, Luka Rimanic, Joan Puigcerver, Carlos Riquelme, Ce Zhang, Mario Lucic