Progressive prompts: Continual learning for language models A Razdaibiedina, Y Mao, R Hou, M Khabsa, M Lewis, A Almahairi International Conference on Learning Representations (ICLR), 2023 | 53 | 2023 |
Orca 2: Teaching small language models how to reason A Mitra, L Del Corro, S Mahajan, A Codas, C Simoes, S Agarwal, X Chen, ... arXiv preprint arXiv:2311.11045, 2023 | 42 | 2023 |
Residual Prompt Tuning: Improving Prompt Tuning with Residual Reparameterization A Razdaibiedina, Y Mao, R Hou, M Khabsa, M Lewis, J Ba, A Almahairi Findings of ACL 2023, 2023 | 13 | 2023 |
Effects of Single-Nucleotide Polymorphisms in Cytokine, Toll-Like Receptor, and Progesterone Receptor Genes on Risk of Miscarriage IV A. Razdaibiedina, M. Khobzey, V. Tkachenko Obstetrics and Gynecology International, 2018 | 10 | 2018 |
PIFiA: self-supervised approach for protein functional annotation from single-cell imaging data A Razdaibiedina, A Brechalov, H Friesen, M Mattiazzi Usaj, MPD Masinas, ... Molecular Systems Biology, 1-28, 2024 | 3 | 2024 |
MIReAD: Simple Method for Learning High-quality Representations from Scientific Documents A Razdaibiedina, A Brechalov ACL 2023, 2023 | 2 | 2023 |
Learning multi-scale functional representations of proteins from single-cell microscopy data A Razdaibiedina, A Brechalov International Conference on Learning Representations (ICLR), MLDD workshop, 2022 | 2 | 2022 |
Representation Projection Invariance Mitigates Representation Collapse A Razdaibiedina, A Khetan, Z Karnin, D Khashabi, V Kapoor, V Madan arXiv preprint arXiv:2205.11603, 2022 | 1* | 2022 |
Multi-defect microscopy image restoration under limited data conditions A Razdaibiedina, J Velayutham, M Modi Conference on Neural Information Processing Systems (NeurIPS), Medical …, 2019 | 1 | 2019 |
Biomolecular modeling on iOS devices: review and software comparison SV A. Razdaibiedina, M. Khobzey Research Journal of Pharmaceutical, Biological and Chemical Sciences 7 (6), 2016 | 1 | 2016 |
Expanding TheCellVision. org: a central repository for visualizing and mining high-content cell imaging projects MPD Masinas, A Litsios, A Razdaibiedina, M Usaj, C Boone, BJ Andrews Genetics, iyae044, 2024 | | 2024 |