| Uncertainty Reduction for Model Adaptation in Semantic Segmentation S Prabhu Teja, F Fleuret Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 192* | 2021 |
| Optimizer benchmarking needs to account for hyperparameter tuning PT Sivaprasad, F Mai, T Vogels, M Jaggi, F Fleuret International conference on machine learning, 9036-9045, 2020 | 79* | 2020 |
| Test time adaptation through perturbation robustness PT Sivaprasad, F Fleuret arXiv preprint arXiv:2110.10232, 2021 | 50* | 2021 |
| Continual learning with low rank adaptation M Wistuba, PT Sivaprasad, L Balles, G Zappella arXiv preprint arXiv:2311.17601, 2023 | 30 | 2023 |
| SWE-PolyBench: A multi-language benchmark for repository level evaluation of coding agents MS Rashid, C Bock, Y Zhuang, A Buchholz, T Esler, S Valentin, ... arXiv preprint arXiv:2504.08703, 2025 | 16 | 2025 |
| A ballistic stroke representation of online handwriting for recognition SP Teja, AM Namboodiri 2013 12th International Conference on Document Analysis and Recognition, 857-861, 2013 | 10 | 2013 |
| Choice of peft technique in continual learning: Prompt tuning is not all you need M Wistuba, PT Sivaprasad, L Balles, G Zappella arXiv preprint arXiv:2406.03216, 2024 | 6 | 2024 |
| Swe-polybench: A multi-language benchmark for repository level evaluation of coding agents, 2025 MS Rashid, C Bock, Y Zhuang, A Buchholz, T Esler, S Valentin, ... URL https://arxiv. org/abs/2504.08703, 0 | 6 | |
| Paumer: Patch pausing transformer for semantic segmentation E Courdier, PT Sivaprasad, F Fleuret arXiv preprint arXiv:2311.00586, 2023 | 3 | 2023 |
| On the Choice of Learning Rate for Local SGD L Balles, PT Sivaprasad, C Archambeau Transactions on Machine Learning Research, 2023 | 3 | 2023 |
| CoRet: Improved Retriever for Code Editing FJ Fehr, L Franceschi, G Zappella Proceedings of the 63rd Annual Meeting of the Association for Computational …, 2025 | 1 | 2025 |
François FleuretUniversity of GenevaVerified email at fleuret.org
