Hi, I am Pavel! I am AI/ML researcher/leader/enthusiast from Berlin. A longer version is here.

E. Lagutin, D. Gavrilov, P. Kalaidin, Implicit Unlikelihood Training: Improving Neural Text Generation with Reinforcement Learning, Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021. This was a paper from VK lab on better language generation.
A. Chumachenko, D. Gavrilov, N. Balagansky, P. Kalaidin, Weight squeezing: Reparameterization for extreme compression and fast inference, arXiv preprint, 2021. This paper was about a new method for model compression.
N. Zueva, M. Kabirova, P. Kalaidin, Reducing unintended identity bias in Russian hate speech detection, Proceedings of the Fourth Workshop on Online Abuse and Harms, 2020. This was my final project while at VK.
D. Gavrilov, P. Kalaidin and V. Malykh, Self-Attentive Model for Headline Generation, arXiv:1901.07786 [cs.CL], accepted to 41st European Conference on Information Retrieval, 2019. We attempted to solve a problem of automatic headline generation.
R. Trusov, A. Natekin, P. Kalaidin, S. Ovcharenko, A. Knoll, Multi-representation approach to text regression of financial risks, Artificial Intelligence and Natural Language and Information Extraction, Social Media and Web Search FRUCT Conference (AINL-ISMW FRUCT), 2015. A short paper on using NLP for modelling financial risks.

AI as a Catalyst for Disruption and Innovation Across Industries, GTC 2022, english
Deploying Natural Language Processing Beyond English, GTC 2021, english
“How to fool AI: adversarial machine learning” (video, russian), (St. Petersburg, The General Staff Building, Hermitage Museum, 10/11/2018)
“The Allen AI Science Challenge (7th place) & DeepHack Q&A hackathon (1st place)” (slides, english)
St. Petersburg Data Science Meetup, (St. Petersburg, 2/16/2016)
“Introduction to Word Embeddings with Python” (slides, english)
Moscow Data Fest, (Moscow, 09/12/2015)
“Introduction to Factorization Machines” (slides, english)
St. Petersburg Data Science Meetup #2 (St. Petersburg, Russia, 5/29/2015).
“Large-scale real-time analytics for everyone” (slides, english),
HighloadStrategy conference (Vilnius, Lithuania, 30/1/2015)
“Processing data streams in RTB: fast, cheap and 98% correct” (slides, russian),
Highload++ conference (Moscow, Russia, 10/31-11/1/2014)
“Data Mining in RTB” (slides, russian),
Data Mining Labs seminar (St.Petersburg, Russia, 4/18/2014)