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 | 111 | 2022 |
Synchronizability of EEG-based functional networks in early Alzheimer's disease MS Tahaei, M Jalili, MG Knyazeva IEEE Transactions on Neural Systems and Rehabilitation Engineering 20 (5 …, 2012 | 63 | 2012 |
KroneckerBERT: Significant compression of pre-trained language models through kronecker decomposition and knowledge distillation M Tahaei, E Charlaix, V Nia, A Ghodsi, M Rezagholizadeh Proceedings of the 2022 Conference of the North American Chapter of the …, 2022 | 39* | 2022 |
Kronecker decomposition for gpt compression A Edalati, M Tahaei, A Rashid, VP Nia, JJ Clark, M Rezagholizadeh arXiv preprint arXiv:2110.08152, 2021 | 37 | 2021 |
Patch-based image reconstruction for PET using prior-image derived dictionaries MS Tahaei, AJ Reader Physics in Medicine & Biology 61 (18), 6833, 2016 | 27 | 2016 |
Convolutional neural network compression through generalized Kronecker product decomposition MGA Hameed, MS Tahaei, A Mosleh, VP Nia Proceedings of the AAAI Conference on Artificial Intelligence 36 (1), 771-779, 2022 | 24 | 2022 |
Compressing pre-trained language models using progressive low rank decomposition H Hajimolahoseini, M Rezagholizadeh, V Partovinia, M Tahaei, OM Awad, ... Advances in Neural Information Processing Systems, 2021 | 16 | 2021 |
Is integer arithmetic enough for deep learning training? A Ghaffari, MS Tahaei, M Tayaranian, M Asgharian, V Partovi Nia Advances in Neural Information Processing Systems 35, 27402-27413, 2022 | 15 | 2022 |
FoCL: Feature-oriented continual learning for generative models Q Lao, M Mortazavi, M Tahaei, F Dutil, T Fevens, M Havaei Pattern Recognition 120, 108127, 2021 | 15 | 2021 |
Sortednet, a place for every network and every network in its place: Towards a generalized solution for training many-in-one neural networks M Valipour, M Rezagholizadeh, H Rajabzadeh, MS Tahaei, B Chen, ... CoRR, 2023 | 10 | 2023 |
Qdylora: Quantized dynamic low-rank adaptation for efficient large language model tuning H Rajabzadeh, M Valipour, T Zhu, M Tahaei, HJ Kwon, A Ghodsi, B Chen, ... arXiv preprint arXiv:2402.10462, 2024 | 8 | 2024 |
MR-guided PET image denoising MS Tahaei, AJ Reader, DL Collins 2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room …, 2016 | 7 | 2016 |
Sorted LLaMA: Unlocking the Potential of Intermediate Layers of Large Language Models for Dynamic Inference P Kavehzadeh, M Valipour, M Tahaei, A Ghodsi, B Chen, ... Findings of the Association for Computational Linguistics: EACL 2024, 2129-2145, 2024 | 6 | 2024 |
Two novel PET image restoration methods guided by PET‐MR kernels: Application to brain imaging MS Tahaei, AJ Reader, DL Collins Medical Physics 46 (5), 2085-2102, 2019 | 6 | 2019 |
Towards fine-tuning pre-trained language models with integer forward and backward propagation M Tayaranian, A Ghaffari, MS Tahaei, M Rezagholizadeh, M Asgharian, ... arXiv preprint arXiv:2209.09815, 2022 | 5 | 2022 |
On the Transferability of Whisper-based Representations for" In-the-Wild" Cross-Task Downstream Speech Applications V Chemudupati, M Tahaei, H Guimaraes, A Pimentel, A Avila, ... arXiv preprint arXiv:2305.14546, 2023 | 4 | 2023 |
Efficient Citer: Tuning Large Language Models for Enhanced Answer Quality and Verification M Tahaei, A Jafari, A Rashid, D Alfonso-Hermelo, K Bibi, Y Wu, A Ghodsi, ... Findings of the Association for Computational Linguistics: NAACL 2024, 4443-4450, 2024 | 3 | 2024 |
Combining different variance reduction approaches for PET image reconstruction MS Tahaei, AJ Reader 2014 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC …, 2014 | 2 | 2014 |
Multi-Centre Assessment of HRRT Image Uniformity via 68 Ge and 18 F Cylindrical and Anthropomorphic Phantoms AJ Reader, MS Tahaei, A Rahmim, SH Keller, S Blinder, M Sibomana, ... Medical Imaging Conference, 2013 | 2 | 2013 |
Sorted LLaMA: Unlocking the Potential of Intermediate Layers of Large Language Models for Dynamic Inference Using Sorted Fine-Tuning (SoFT) P Kavehzadeh, M Valipour, M Tahaei, A Ghodsi, B Chen, ... arXiv preprint arXiv:2309.08968, 2023 | 1 | 2023 |