A no-regret generalization of hierarchical softmax to extreme multi-label classification. - Marek Wydmuch; Kalina Jasinska; Mikhail Kuznetsov; Róbert Busa-Fekete; Krzysztof Dembczynski (NeurIPS, 2018)

"Smart City" Governance Technologies Development in the Era of the 4th Industrial Revolution. - Mikhail Kuznetsov; Maria Nikishova; Anna Belova (IntelliSys (2), 2019)

On the computational complexity of the probabilistic label tree algorithms. - Róbert Busa-Fekete; Krzysztof Dembczynski; Alexander Golovnev; Kalina Jasinska; Mikhail Kuznetsov; Maxim Sviridenko; Chao Xu (CoRR, 2019)

Probabilistic Label Trees for Extreme Multi-label Classification. - Kalina Jasinska-Kobus; Marek Wydmuch; Krzysztof Dembczynski; Mikhail Kuznetsov; Róbert Busa-Fekete (CoRR, 2020)

VisualTextRank: Unsupervised Graph-based Content Extraction for Automating Ad Text to Image Search. - Shaunak Mishra; Mikhail Kuznetsov; Gaurav Srivastava 001; Maxim Sviridenko (KDD, 2021)

Quadrotor Control with a Guaranteed Presence of Output Signals under a Prespecified State Bounds. - Mikhail Kuznetsov; Sergey A. Vrazhevsky; Ekaterina Khalyamina (MED, 2022)

An approach to formal desription of the user notification scenarios in privacy policies. - Mikhail Kuznetsov; Evgenia Novikova; Igor V. Kotenko (PDP, 2022)

Privacy Policies of IoT Devices: Collection and Analysis. - Mikhail Kuznetsov; Evgenia Novikova; Igor V. Kotenko; Elena Doynikova (Sensors, 2022)

Staging E-Commerce Products for Online Advertising using Retrieval Assisted Image Generation. - Yueh-Ning Ku; Mikhail Kuznetsov; Shaunak Mishra; Paloma de Juan (AdKDD@KDD, 2023)

Revising deep learning methods in parking lot occupancy detection. - Anastasia Martynova; Mikhail Kuznetsov; Vadim Porvatov; Vladislav Tishin; Andrey Kuznetsov; Natalia Semenova; Ksenia Kuznetsova (CoRR, 2023)

Salient Object-Aware Background Generation using Text-Guided Diffusion Models. - Amir Erfan Eshratifar; João V. B. Soares; Kapil Thadani; Shaunak Mishra; Mikhail Kuznetsov; Yueh-Ning Ku; Paloma de Juan (CVPR Workshops, 2024)

HairFastGAN: Realistic and Robust Hair Transfer with a Fast Encoder-Based Approach. - Maxim Nikolaev; Mikhail Kuznetsov; Dmitry P. Vetrov; Aibek Alanov (NeurIPS, 2024)

ImgAdaPoinTr: Improving Point Cloud Completion via Images and Segmentation. - Vaagn Chopuryan; Mikhail Kuznetsov; Vasilii Latonov; Natalia Semenova (VISIGRAPP (4): VISAPP, 2024)

HLogformer: A Hierarchical Transformer for Representing Log Data. - Zhichao Hou; Mina Ghashami; Mikhail Kuznetsov; MohamadAli Torkamani (CoRR, 2024)

Distributionally robust self-supervised learning for tabular data. - Shantanu Ghosh; Tiankang Xie; Mikhail Kuznetsov (CoRR, 2024)

Modelling user notification scenarios in privacy policies. - Mikhail Kuznetsov; Evgenia Novikova; Igor V. Kotenko (Cybersecur., 2024)