| 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 | 65 | 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 | 31 | 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 | 20 | 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 | 13 | 2021 |
| IMDB-WIKI-SbS: An evaluation dataset for crowdsourced pairwise comparisons N Pavlichenko, D Ustalov arXiv preprint arXiv:2110.14990, 2021 | 11 | 2021 |
| Learning from Crowds with Crowd-Kit D Ustalov, N Pavlichenko, B Tseitlin arXiv preprint arXiv:2109.08584, 2021 | 10 | 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 | 6 | 2022 |
| Toloka visual question answering benchmark D Ustalov, N Pavlichenko, S Koshelev, D Likhobaba, A Smirnova arXiv preprint arXiv:2309.16511, 2023 | 3 | 2023 |
| VLDB 2021 Crowd Science Challenge on Aggregating Crowdsourced Audio Transcriptions. D Ustalov, N Pavlichenko, I Stelmakh, D Kuznetsov CSW@ VLDB, 1-7, 2021 | 3 | 2021 |
| WSDM Cup 2023 Challenge on Visual Question Answering. D Ustalov, N Pavlichenko, D Likhobaba, A Smirnova CSW@ WSDM, 1-7, 2023 | 2 | 2023 |
| Crowdsourcing for information retrieval D Ustalov, A Smirnova, N Fedorova, N Pavlichenko European Conference on Information Retrieval, 357-361, 2023 | 1 | 2023 |
| Method and system for generating training data for a machine-learning algorithm VA Biryukov, NV Pavlichenko, VP Fedorova US Patent App. 17/576,301, 2022 | 1 | 2022 |
| Method and system for generating training data for a machine-learning algorithm N Pavlichenko, D Ustalov US Patent App. 18/586,141, 2024 | | 2024 |
| Method and a system for generating a digital task label by machine learning algorithm N Pavlichenko, B Tseytlin, D Ustalov US Patent App. 18/386,597, 2024 | | 2024 |
| Reinforcement Learning from Human Feedback: A Tutorial at ICML 2023 N Lambert, D Ustalov, N Fedorova, N Pavlichenko, M Ryabinin, N Rajani, ... https://doi.org/10.5281/zenodo.8186168, 2023 | | 2023 |
| Methods and systems for generating training data for computer-executable machine learning algorithm within a computer-implemented crowdsource environment NV Pavlichenko, VP Fedorova, VA Biryukov US Patent App. 17/670,662, 2022 | | 2022 |
| Method and system for generating training data for a machine-learning algorithm VA Biryukov, NV Pavlichenko, VP Fedorova US Patent App. 17/575,962, 2022 | | 2022 |
| 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 | | 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 | | |
Dmitry UstalovJetBrainsVerified email at jetbrains.com
