Assistance with large language models D Krasheninnikov, E Krasheninnikov, D Krueger NeurIPS ML Safety Workshop, 2022 | 9 | 2022 |
Implementing a Machine Learning Approach to Predicting Students’ Academic Outcomes S Oreshin, A Filchenkov, P Petrusha, E Krasheninnikov, A Panfilov, ... Proceedings of the 2020 1st International Conference on Control, Robotics …, 2020 | 9 | 2020 |
Recommender system for an academic supervisor with a matrix normalization approach V Kazakovtsev, S Oreshin, A Serdyukov, E Krasheninnikov, S Muravyov, ... Proceedings of the 2020 1st International Conference on Control, Robotics …, 2020 | 5 | 2020 |
The Use of Students’ Digital Portraits in Creating Smart Higher Education: A Case Study of the AI Benefits in Analyzing Educational and Social Media Data SA Oreshin, AA Filchenkov, DK Kozlova, PG Petrusha, LS Lisitsyna, ... Smart Education and e-Learning 2020, 233-243, 2020 | 5 | 2020 |
Out-of-context meta-learning in large language models D Krasheninnikov, E Krasheninnikov, D Krueger ICLR 2023 Workshop on Mathematical and Empirical Understanding of Foundation …, 2023 | 3 | 2023 |
Meta-(out-of-context) learning in neural networks D Krasheninnikov, E Krasheninnikov, B Mlodozeniec, D Krueger arXiv preprint arXiv:2310.15047, 2023 | 1 | 2023 |