Self-attentive model for headline generation D Gavrilov, P Kalaidin, V Malykh Advances in Information Retrieval: 41st European Conference on IR Research …, 2019 | 69 | 2019 |
Reducing unintended identity bias in Russian hate speech detection N Zueva, M Kabirova, P Kalaidin Proceedings of the Fourth Workshop on Online Abuse and Harms, 65--69, 2020 | 23 | 2020 |
Implicit Unlikelihood Training: Improving Neural Text Generation with Reinforcement Learning E Lagutin, D Gavrilov, P Kalaidin Proceedings of the 16th Conference of the European Chapter of the …, 2021 | 18 | 2021 |
Multi-representation approach to text regression of financial risks R Trusov, A Natekin, P Kalaidin, S Ovcharenko, A Knoll, A Fazylova 2015 Artificial Intelligence and Natural Language and Information Extraction …, 2015 | 8 | 2015 |
Headline Generation Shared Task on Dialogue’2019 VA Malykh, PS Kalaidin Computational Linguistics and Intellectual Technologies: Papers from the …, 2019 | 5 | 2019 |
Weight squeezing: Reparameterization for extreme compression and fast inference C Artem, G Daniil, B Nikita, K Pavel arXiv: 2010.06993, 2020 | 2 | 2020 |
For Fake's Sake: a set of models for detecting deepfakes, generated images and synthetic images A Savelyev, A Toropov, P Goldman-Kalaydin, A Samarin | | 2023 |
Weight Squeezing: Reparameterization for Knowledge Transfer and Model Compression A Chumachenko, D Gavrilov, N Balagansky, P Kalaidin arXiv preprint arXiv:2010.06993, 2020 | | 2020 |