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Arseny Moskvichev
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Using linguistic activity in social networks to predict and interpret dark psychological traits
A Moskvichev, M Dubova, S Menshov, A Filchenkov
Artificial Intelligence and Natural Language: 6th Conference, AINL 2017, St…, 2018
132018
Against theory-motivated experimentation in science
M Dubova, A Moskvichev, K Zollman
MetaArXiv. June 24, 2022
52022
Updater-extractor architecture for inductive world state representations
A Moskvichev, JA Liu
arXiv preprint arXiv:2104.05500, 2021
52021
Reinforcement communication learning in different social network structures
M Dubova, A Moskvichev, R Goldstone
arXiv preprint arXiv:2007.09820, 2020
52020
Effects of supervision, population size, and self-play on multi-agent reinforcement learning to communicate
M Dubova, A Moskvichev
Artificial Life Conference Proceedings 32, 678-686, 2020
52020
The ConceptARC Benchmark: Evaluating Understanding and Generalization in the ARC Domain
A Moskvichev, VV Odouard, M Mitchell
arXiv preprint arXiv:2305.07141, 2023
42023
A Picture is Worth 7.17 Words: Learning Categories from Examples and Definitions.
A Moskvichev, R Tikhonov, M Steyvers
CogSci, 2406-2412, 2019
32019
Word Games as milestones for NLP research
A Moskvichev, M Steyvers
Proceedings of Workshop on Games and Natural Language Processing, 2019
22019
Adaptation Aftereffects as a Result of Bayesian Categorization.
M Dubova, A Moskvichev
CogSci, 1669-1675, 2019
22019
Data augmentation method for the image sentiment analysis
A Rakovsky, A Moskvichev, A Filchenkov
Proceeding of the AINL FRUCT 2016 Conference, Saint Petersburg, 106-109, 2016
22016
Towards a Linguistic Model of Stress, Well. being and Dark Traits in Russian Facebook Texts
P Panicheva, V Ivanov, A Moskvichev, O Bogolyubova, Y Ledovaya
Proceeding of the AINL-ISMW FRUCT Conference 7, 2015
12015
Teaching categories via examples and explanations
A Moskivchev, R Tikhonov, M Steyvers
Cognition 238, 105511, 2023
2023
Narrative XL: A Large-scale Dataset For Long-Term Memory Models
A Moskvichev, KV Mai
arXiv preprint arXiv:2305.13877, 2023
2023
Language-Based Learning: Cognitive and Computational Perspective
A Moskvichev
University of California, Irvine, 2022
2022
Category learning in preschool and primary school children: The use of rule-based and similarity-based strategies
R Tikhonov, A Moskvichev, A Kotov
Proceedings of the Annual Meeting of the Cognitive Science Society 43 (43), 2021
2021
WHAT DO DARK PERSONALITIES WRITE ON FACEBOOK: AN INTERDISCIPLINARY STUDY OF SOCIAL NETWORK USERS BEHAVIOR
Y Ledovaya, P Panicheva, R Tikhonov, O Bogolyubova, A Moskvichev
XVI EUROPEAN CONGRESS OF PSYCHOLOGY, 1314-1314, 2019
2019
СРАВНЕНИЕ ОСОБЕННОСТЕЙ НАУЧЕНИЯ ОТ ПРОСТОГО К СЛОЖНОМУ И ОТ СЛОЖНОГО К ПРОСТОМУ(на примере задач перекодировки)
АК МОСКВИЧЕВ, ИА ГОРБУНОВ
Научные исследования выпускников факультета психологии СПбГУ 2, 195-201, 2014
2014
Enforcing Compositionality in Sentence Embedding Models
A Moskvichev, M Steyvers
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Articles 1–18