| Roses are red, violets are blue... but should vqa expect them to? C Kervadec, G Antipov, M Baccouche, C Wolf Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 98 | 2021 |
| An occam's razor view on learning audiovisual emotion recognition with small training sets V Vielzeuf, C Kervadec, S Pateux, A Lechervy, F Jurie Proceedings of the 20th ACM International Conference on Multimodal …, 2018 | 65 | 2018 |
| Cake: Compact and accurate k-dimensional representation of emotion C Kervadec, V Vielzeuf, S Pateux, A Lechervy, F Jurie arXiv preprint arXiv:1807.11215, 2018 | 34 | 2018 |
| How transferable are reasoning patterns in vqa? C Kervadec, T Jaunet, G Antipov, M Baccouche, R Vuillemot, C Wolf Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 32 | 2021 |
| Visqa: X-raying vision and language reasoning in transformers T Jaunet, C Kervadec, R Vuillemot, G Antipov, M Baccouche, C Wolf IEEE Transactions on Visualization and Computer Graphics 28 (1), 976-986, 2021 | 30 | 2021 |
| Weak supervision helps emergence of word-object alignment and improves vision-language tasks C Kervadec, G Antipov, M Baccouche, C Wolf ECAI 2020, 2728-2735, 2020 | 15 | 2020 |
| Autonomous wireless sensor networks: Implementation of transient computing and energy prediction for improved node performance and link quality F Ahmed, C Kervadec, Y Le Moullec, G Tamberg, P Annus The Computer Journal 62 (6), 820-837, 2019 | 10 | 2019 |
| Supervising the transfer of reasoning patterns in vqa C Kervadec, C Wolf, G Antipov, M Baccouche, M Nadri Advances in Neural Information Processing Systems 34, 18256-18267, 2021 | 9 | 2021 |
| The many variations of emotion V Vielzeuf, C Kervadec, S Pateux, F Jurie 2019 14th IEEE International Conference on Automatic Face & Gesture …, 2019 | 9 | 2019 |
| Estimating semantic structure for the VQA answer space C Kervadec, G Antipov, M Baccouche, C Wolf arXiv preprint arXiv:2006.05726, 2020 | 7 | 2020 |
| Bridging information-theoretic and geometric compression in language models E Cheng, C Kervadec, M Baroni arXiv preprint arXiv:2310.13620, 2023 | 6 | 2023 |
| The many moods of emotion V Vielzeuf, C Kervadec, S Pateux, F Jurie arXiv preprint arXiv:1810.13197, 2018 | 5 | 2018 |
| Bias and reasoning in visual question answering C Kervadec Université de Lyon, 2021 | 2 | 2021 |
| Emergence of a High-Dimensional Abstraction Phase in Language Transformers E Cheng, D Doimo, C Kervadec, I Macocco, J Yu, A Laio, M Baroni arXiv preprint arXiv:2405.15471, 2024 | 1 | 2024 |
| An experimental study of the vision-bottleneck in VQA P Marza, C Kervadec, G Antipov, M Baccouche, C Wolf arXiv preprint arXiv:2202.06858, 2022 | 1 | 2022 |
| Unnatural language processing: How do language models handle machine-generated prompts? C Kervadec, F Franzon, M Baroni arXiv preprint arXiv:2310.15829, 2023 | | 2023 |
| Learning, Forgetting, Remembering: Insights From Tracking LLM Memorization During Training DD Leybzon, C Kervadec The 7th BlackboxNLP Workshop, 0 | | |
Christian WolfNaver Labs EuropeVerified email at naverlabs.com
