| Revisiting deep learning models for tabular data Y Gorishniy, I Rubachev, V Khrulkov, A Babenko Advances in Neural Information Processing Systems 34, 18932-18943, 2021 | 608 | 2021 |
| On embeddings for numerical features in tabular deep learning Y Gorishniy, I Rubachev, A Babenko Advances in Neural Information Processing Systems 35, 24991-25004, 2022 | 114 | 2022 |
| Revisiting Pretraining Objectives for Tabular Deep Learning I Rubachev, A Alekberov, Y Gorishniy, A Babenko arXiv preprint arXiv:2207.03208, 2022 | 37 | 2022 |
| TabR: Tabular Deep Learning Meets Nearest Neighbors Y Gorishniy, I Rubachev, N Kartashev, D Shlenskii, A Kotelnikov, ... The Twelfth International Conference on Learning Representations, 2024 | 11 | 2024 |
| TabR: Unlocking the Power of Retrieval-Augmented Tabular Deep Learning Y Gorishniy, I Rubachev, N Kartashev, D Shlenskii, A Kotelnikov, ... arXiv preprint arXiv:2307.14338, 2023 | 8 | 2023 |
| TabReD: A Benchmark of Tabular Machine Learning in-the-Wild I Rubachev, N Kartashev, Y Gorishniy, A Babenko arXiv preprint arXiv:2406.19380, 2024 | | 2024 |
Ivan RubachevYandex在 hse.ru 的电子邮件经过验证
Ivan RubachevYandex在 hse.ru 的电子邮件经过验证
Valentin KhrulkovYandex在 skolkovotech.ru 的电子邮件经过验证