| Symplectic recurrent neural networks Z Chen, J Zhang, M Arjovsky, L Bottou International Conference on Learning Representations (ICLR 2020), 2020 | 222 | 2020 |
| Rich Feature Construction for the Optimization-Generalization Dilemma J Zhang, D Lopez-Paz, L Bottou 39th International Conference on Machine Learning (ICML 2022), 2022 | 36 | 2022 |
| Model ratatouille: Recycling diverse models for out-of-distribution generalization A Ramé, K Ahuja, J Zhang, M Cord, L Bottou, D Lopez-Paz International Conference on Machine Learning, 28656-28679, 2023 | 27 | 2023 |
| Automatic feature engineering by deep reinforcement learning J Zhang, J Hao, F Fogelman-Soulié, Z Wang Proceedings of the 18th International Conference on Autonomous Agents and …, 2019 | 16 | 2019 |
| Towards automatic complex feature engineering J Zhang, F Fogelman-Soulié, C Largeron Web Information Systems Engineering–WISE 2018: 19th International Conference …, 2018 | 12 | 2018 |
| Learning useful representations for shifting tasks and distributions J Zhang, L Bottou International Conference on Machine Learning, 40830-40850, 2023 | 9 | 2023 |
| KKbox’s music recommendation challenge solution with feature engineering J Zhang, F Fogelman-Soulié 11th ACM International Conference on Web Search and Data Mining WSDM, 1-8, 2018 | 6 | 2018 |
| Creating song from lip and tongue videos with a convolutional vocoder J Zhang, P Roussel, B Denby IEEE Access 9, 13076-13082, 2021 | 5 | 2021 |
| Cross-data automatic feature engineering via meta-learning and reinforcement learning J Zhang, J Hao, F Fogelman-Soulié Advances in Knowledge Discovery and Data Mining: 24th Pacific-Asia …, 2020 | 2 | 2020 |
| Recommender Systems and Attributed Networks F Fogelman‐Soulié, L Mei, J Zhang, Y Li, W Ge, Y Li, Q Ye Advances in Data Science: Symbolic, Complex and Network Data 4, 139-167, 2020 | 1 | 2020 |
| Fine-tuning with Very Large Dropout J Zhang, L Bottou arXiv preprint arXiv:2403.00946, 2024 | | 2024 |
Leon BottouFacebook AI ResearchVerified email at bottou.org
