‪Ali Edalati‬ - ‪Google Scholar‬

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Co-authors

James ClarkProfessor of Electrical and Computer Engineering, McGill University, REPARTIVerified email at cim.mcgill.ca
Mehdi RezagholizadehPrincipal Research Scientist, Noah's Ark Lab, Huawei TechnologiesVerified email at mail.mcgill.ca
Vahid Partovi NiaHuawei Noah's Ark Lab and Ecole Polytechnique de MontrealVerified email at polymtl.ca
Lulan ShenPhD Candidate, McGill UniversityVerified email at mail.mcgill.ca

Ali Edalati

Ali Edalati

Associate Researcher at Huawei Noah's Ark Lab

Verified email at huawei.com - Homepage

Natural Language Processing Model Compression Deep Learning


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Krona: Parameter efficient tuning with kronecker adapter A Edalati, M Tahaei, I Kobyzev, VP Nia, JJ Clark, M Rezagholizadeh arXiv preprint arXiv:2212.10650, 2022	41	2022
Kronecker decomposition for gpt compression A Edalati, M Tahaei, A Rashid, VP Nia, JJ Clark, M Rezagholizadeh arXiv preprint arXiv:2110.08152, 2021	23	2021
Generalized Kronecker-based Adapters for Parameter-efficient Fine-tuning of Vision Transformers A Edalati, MGA Hameed, A Mosleh 2023 20th Conference on Robots and Vision (CRV), 97-104, 2023	1	2023
AdCorDA: Classifier Refinement via Adversarial Correction and Domain Adaptation L Shen, A Edalati, B Meyer, W Gross, JJ Clark arXiv preprint arXiv:2401.13212, 2024		2024
Robustness to distribution shifts of compressed networks for edge devices L Shen, A Edalati, B Meyer, W Gross, JJ Clark arXiv preprint arXiv:2401.12014, 2024		2024

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