Nas-bench-nlp: neural architecture search benchmark for natural language processing N Klyuchnikov, I Trofimov, E Artemova, M Salnikov, M Fedorov, A Filippov, ... IEEE Access 10, 45736-45747, 2022 | 107 | 2022 |
Using boosted trees for click-through rate prediction for sponsored search I Trofimov, A Kornetova, V Topinskiy Proceedings of the Sixth International Workshop on Data Mining for Online …, 2012 | 81 | 2012 |
Representation topology divergence: A method for comparing neural network representations S Barannikov, I Trofimov, N Balabin, E Burnaev arXiv preprint arXiv:2201.00058, 2021 | 34 | 2021 |
Manifold Topology Divergence: a Framework for Comparing Data Manifolds. S Barannikov, I Trofimov, G Sotnikov, E Trimbach, A Korotin, A Filippov, ... Advances in neural information processing systems 34, 7294-7305, 2021 | 22 | 2021 |
Inferring complementary products from baskets and browsing sessions I Trofimov arXiv preprint arXiv:1809.09621, 2018 | 19 | 2018 |
Spin light of the electron in dense matter A Grigoriev, S Shinkevich, A Studenikin, A Ternov, I Trofimov Gravitation and Cosmology 14, 248-255, 2008 | 18 | 2008 |
Multi-fidelity neural architecture search with knowledge distillation I Trofimov, N Klyuchnikov, M Salnikov, A Filippov, E Burnaev IEEE Access, 2023 | 15 | 2023 |
Using neural networks for click prediction of sponsored search AI Baqapuri, I Trofimov arXiv preprint arXiv:1412.6601, 2014 | 10 | 2014 |
Learning topology-preserving data representations I Trofimov, D Cherniavskii, E Tulchinskii, N Balabin, E Burnaev, ... ICLR 2023 International Conference on Learning Representations 2023, 2023 | 8 | 2023 |
Distributed Coordinate Descent for L1-regularized Logistic Regression I Trofimov, A Genkin arXiv preprint arXiv:1411.6520, 2014 | 8 | 2014 |
Data-driven short-term daily operational sea ice regional forecasting T Grigoryev, P Verezemskaya, M Krinitskiy, N Anikin, A Gavrikov, ... Remote Sensing 14 (22), 5837, 2022 | 7 | 2022 |
LHCb trigger streams optimization D Derkach, N Kazeev, R Neychev, A Panin, I Trofimov, A Ustyuzhanin, ... Journal of Physics: Conference Series 898 (6), 062026, 2017 | 7 | 2017 |
Fundamental research and developments in the field of applied artificial intelligence EV Burnaev, AV Bernstein, VV Vanovskiy, AA Zaytsev, AM Bulkin, ... Doklady Mathematics 106 (Suppl 1), S14-S22, 2022 | 6 | 2022 |
Distributed coordinate descent for generalized linear models with regularization I Trofimov, A Genkin Pattern Recognition and Image Analysis 27, 349-364, 2017 | 6 | 2017 |
A new mechanism of electromagnetic electron radiation in a medium (spin light) AV Grigoriev, AI Studenikin, AI Ternov, IE Trofimov, SA Shinkevich Russian Physics Journal 50, 596-604, 2007 | 6 | 2007 |
Topological obstructions in neural networks learning S Barannikov, D Voronkova, I Trofimov, A Korotin, G Sotnikov, E Burnaev arXiv preprint arXiv:2012.15834, 2020 | 5 | 2020 |
Learned Query Optimizers: Evaluation and Improvement A Mikhaylov, NS Mazyavkina, M Salnikov, I Trofimov, F Qiang, E Burnaev IEEE Access 10, 75205-75218, 2022 | 4 | 2022 |
Optimizing the neural architecture of reinforcement learning agents N Mazyavkina, S Moustafa, I Trofimov, E Burnaev Intelligent Computing: Proceedings of the 2021 Computing Conference, Volume …, 2021 | 4 | 2021 |
On peculiarities of positional effects in sponsored search V Alipov, V Topinsky, I Trofimov Proceedings of the 37th international ACM SIGIR conference on Research …, 2014 | 3 | 2014 |
SeqNAS: Neural architecture search for event sequence classification I Udovichenko, E Shvetsov, D Divitsky, D Osin, I Trofimov, I Sukharev, ... IEEE Access, 2024 | 2 | 2024 |