Nikita Pavlichenko
Nikita Pavlichenko
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Best Prompts for Text-to-Image Models and How to Find Them
N Pavlichenko, D Ustalov
SIGIR '23: Proceedings of the 46th International ACM SIGIR Conference on …, 2023
CrowdSpeech and Vox DIY: Benchmark Dataset for Crowdsourced Audio Transcription
N Pavlichenko, I Stelmakh, D Ustalov
Proceedings of the Neural Information Processing Systems Track on Datasets …, 2021
Spherical convolutions on molecular graphs for protein model quality assessment
I Igashov, N Pavlichenko, S Grudinin
Machine Learning: Science and Technology 2 (4), 045005, 2021
A general-purpose crowdsourcing computational quality control toolkit for Python
D Ustalov, N Pavlichenko, V Losev, I Giliazev, E Tulin
The Ninth AAAI Conference on Human Computation and Crowdsourcing: Works-in …, 2021
IMDB-WIKI-SbS: An evaluation dataset for crowdsourced pairwise comparisons
N Pavlichenko, D Ustalov
arXiv preprint arXiv:2110.14990, 2021
Learning from Crowds with Crowd-Kit
D Ustalov, N Pavlichenko, B Tseitlin
arXiv preprint arXiv:2109.08584, 2021
Improving recommender systems with human-in-the-loop
D Ustalov, N Fedorova, N Pavlichenko
Proceedings of the 16th ACM Conference on Recommender Systems, 708-709, 2022
VLDB 2021 Crowd Science Challenge on Aggregating Crowdsourced Audio Transcriptions.
D Ustalov, N Pavlichenko, I Stelmakh, D Kuznetsov
CSW@ VLDB, 1-7, 2021
Toloka visual question answering benchmark
D Ustalov, N Pavlichenko, S Koshelev, D Likhobaba, A Smirnova
arXiv preprint arXiv:2309.16511, 2023
Crowdsourcing for information retrieval
D Ustalov, A Smirnova, N Fedorova, N Pavlichenko
European Conference on Information Retrieval, 357-361, 2023
Reinforcement Learning from Human Feedback: A Tutorial at ICML 2023
N Lambert, D Ustalov, N Fedorova, N Pavlichenko, M Ryabinin, N Rajani, ..., 2023
WSDM Cup 2023 Challenge on Visual Question Answering.
D Ustalov, N Pavlichenko, D Likhobaba, A Smirnova
CSW@ WSDM, 1-7, 2023
Web Engineering with Human-in-the-Loop
D Ustalov, N Pavlichenko, B Tseytlin, D Baidakova, A Drutsa
International Conference on Web Engineering, 505-508, 2022
Toloka at LMNL Challenge: Learning from Noisy Labels with Annotator Reliabilities and Self-Supervised Training
B Tseytlin, N Pavlichenko, D Likhobaba, A Smirnova, D Ustalov
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