Yury Gorishniy

11 papers A* 5Journal 6
YearRankTypeTitle / Venue / Authors
2025 A* conf
TabM: Advancing tabular deep learning with parameter-efficient ensembling.
ICLR
Yury Gorishniy, Akim Kotelnikov, Artem Babenko
2025 A* conf
TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks.
ICLR
Ivan Rubachev, Nikolay Kartashev, Yury Gorishniy, Artem Babenko
2024 J jnl
TabM: Advancing Tabular Deep Learning with Parameter-Efficient Ensembling.
CoRR
Yury Gorishniy, Akim Kotelnikov, Artem Babenko
2024 A* conf
TabR: Tabular Deep Learning Meets Nearest Neighbors.
ICLR
Yury Gorishniy, Ivan Rubachev, Nikolay Kartashev, Daniil Shlenskii, Akim Kotelnikov, Artem Babenko
2024 J jnl
TabReD: A Benchmark of Tabular Machine Learning in-the-Wild.
CoRR
Ivan Rubachev, Nikolay Kartashev, Yury Gorishniy, Artem Babenko
2023 J jnl
TabR: Unlocking the Power of Retrieval-Augmented Tabular Deep Learning.
CoRR
Yury Gorishniy, Ivan Rubachev, Nikolay Kartashev, Daniil Shlenskii, Akim Kotelnikov, Artem Babenko
2022 A* conf
On Embeddings for Numerical Features in Tabular Deep Learning.
NeurIPS
Yury Gorishniy, Ivan Rubachev, Artem Babenko
2022 J jnl
On Embeddings for Numerical Features in Tabular Deep Learning.
CoRR
Yury Gorishniy, Ivan Rubachev, Artem Babenko
2022 J jnl
Revisiting Pretraining Objectives for Tabular Deep Learning.
CoRR
Ivan Rubachev, Artem Alekberov, Yury Gorishniy, Artem Babenko
2021 A* conf
Revisiting Deep Learning Models for Tabular Data.
NeurIPS
Yury Gorishniy, Ivan Rubachev, Valentin Khrulkov, Artem Babenko
2021 J jnl
Revisiting Deep Learning Models for Tabular Data.
CoRR
Yury Gorishniy, Ivan Rubachev, Valentin Khrulkov, Artem Babenko