IR
Ivan Rubachev
cs.LGcs.AIcs.CV
On Valency
published · living versionsW_tdjdytt8·v1 · currentpublished
On Data Scaling in Tabular ML: More Data, Better Generalization?
with Nikita Lazarev, Artem Babenko
1 version
Preprints & journals
14 papers in the corpus · 2021–2026On Data Scaling in Tabular ML: More Data, Better Generalization?2610.26794v1 · Ivan Rubachev, Nikita Lazarev, Artem Babenko2026 · 0 citationsarXivon Valency
Revisiting Tabular Deep Regression: Objectives and the Limits of Global Early Stopping2610.13909v1 · Danil Rudenko, Georgii Bulgakov, Nikolay Kartashev et al.2026 · 0 citationsarXiv
TabPack: Efficient Hyperparameter Ensembles for Tabular Deep Learning2607.05380v1 · Yury Gorishniy, Akim Kotelnikov, Ivan Rubachev et al.2026 · 0 citationsarXiv
Benchmarking Optimizers for MLPs in Tabular Deep Learning2604.15297v2 · Yury Gorishniy, Ivan Rubachev, Dmitrii Feoktistov et al.2026 · 0 citationsarXiv
Talking Trees: Reasoning-Assisted Induction of Decision Trees for Tabular Data2509.21465v3 · George Yakushev, Alina Shutova, Ivan Rubachev et al.2025 · 0 citationsarXiv
Unveiling the Role of Data Uncertainty in Tabular Deep Learning2509.04430v1 · Nikolay Kartashev, Ivan Rubachev, Artem Babenko2025 · 0 citationsarXiv
On Finetuning Tabular Foundation Models2506.08982v2 · Ivan Rubachev, Akim Kotelnikov, Nikolay Kartashev et al.2025 · 1 citationarXiv
TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks2406.19380v4 · Ivan Rubachev, Nikolay Kartashev, Yury Gorishniy et al.2024 · 1 citationarXiv
TabR: Tabular Deep Learning Meets Nearest Neighbors in 20232307.14338v2 · Yury Gorishniy, Ivan Rubachev, Nikolay Kartashev et al.2023 · 9 citationsarXiv
TabDDPM: Modelling Tabular Data with Diffusion Models2209.15421v2 · Akim Kotelnikov, Dmitry Baranchuk, Ivan Rubachev et al.2022 · 120 citationsProceedings of the 40 th International Conference on Machine Learning, Honolulu, Hawaii, USA. PMLR 202, 2023
Revisiting Pretraining Objectives for Tabular Deep Learning2207.03208v2 · Ivan Rubachev, Artem Alekberov, Yury Gorishniy et al.2022 · 5 citationsarXiv
On Embeddings for Numerical Features in Tabular Deep Learning2203.05556v4 · Yury Gorishniy, Ivan Rubachev, Artem Babenko2022 · 101 citationsarXiv
Label-Efficient Semantic Segmentation with Diffusion Models2112.03126v3 · Dmitry Baranchuk, Ivan Rubachev, Andrey Voynov et al.2021 · 237 citationsarXiv
Revisiting Deep Learning Models for Tabular Data2106.11959v5 · Yury Gorishniy, Ivan Rubachev, Valentin Khrulkov et al.2021 · 437 citationsarXiv
Career total: 14 works. 14 are in this corpus.
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