Nikolay Kartashev

According to our database, Nikolay Kartashev authored at least 7 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Unveiling the Role of Data Uncertainty in Tabular Deep Learning.

Nikolay Kartashev, Ivan Rubachev, Artem Babenko

CoRR, September, 2025

On Finetuning Tabular Foundation Models.

Ivan Rubachev, Akim Kotelnikov, Nikolay Kartashev, Artem Babenko

CoRR, June, 2025

TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks.

Ivan Rubachev, Nikolay Kartashev, Yury Gorishniy, Artem Babenko

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

TabReD: A Benchmark of Tabular Machine Learning in-the-Wild.

Ivan Rubachev, Nikolay Kartashev, Yury Gorishniy, Artem Babenko

CoRR, 2024

TabR: Tabular Deep Learning Meets Nearest Neighbors.

Yury Gorishniy, Ivan Rubachev, Nikolay Kartashev, Daniil Shlenskii, Akim Kotelnikov, Artem Babenko

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

TabR: Unlocking the Power of Retrieval-Augmented Tabular Deep Learning.

Yury Gorishniy, Ivan Rubachev, Nikolay Kartashev, Daniil Shlenskii, Akim Kotelnikov, Artem Babenko

CoRR, 2023

2022

Shifts 2.0: Extending The Dataset of Real Distributional Shifts.

Andrey Malinin, Andreas Athanasopoulos, Muhamed Barakovic, Meritxell Bach Cuadra, Mark J. F. Gales, Cristina Granziera, Mara Graziani, Nikolay Kartashev, Konstantinos Kyriakopoulos, Po-Jui Lu, Nataliia Molchanova, Antonis Nikitakis, Vatsal Raina, Francesco La Rosa, Eli Sivena, Vasileios Tsarsitalidis, Efi Tsompopoulou, Elena Volf

CoRR, 2022