## Super Short Bio
Hi, I am Pavel! I am AI/ML researcher/leader/enthusiast from Berlin. A longer version is here.
## Publications
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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.
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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.
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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.
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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.
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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.
## Talks/Events
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AI as a Catalyst for Disruption and Innovation Across Industries, GTC 2022, english
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Deploying Natural Language Processing Beyond English, GTC 2021, english
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“How to fool AI: adversarial machine learning” (video, russian), (St. Petersburg, The General Staff Building, Hermitage Museum, 10/11/2018)
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“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)