| Fine-tuning and training of densenet for histopathology image representation using tcga diagnostic slides A Riasatian, M Babaie, D Maleki, S Kalra, M Valipour, S Hemati, M Zaveri, ... Medical image analysis 70, 102032, 2021 | 132 | 2021 |
| Dylora: Parameter efficient tuning of pre-trained models using dynamic search-free low-rank adaptation M Valipour, M Rezagholizadeh, I Kobyzev, A Ghodsi arXiv preprint arXiv:2210.07558, 2022 | 80 | 2022 |
| Symbolicgpt: A generative transformer model for symbolic regression M Valipour, B You, M Panju, A Ghodsi arXiv preprint arXiv:2106.14131, 2021 | 79 | 2021 |
| Using Machine Learning approaches to detect opponent formation E Asali, M Valipour, N Zare, A Afshar, MR Katebzadeh, ... 2016 Artificial Intelligence and Robotics (IRANOPEN), 140-144, 2016 | 17 | 2016 |
| Assessing the role of AR-based content in improving learning performance considering Felder-Silverman learning style MT Mahmoudi, K Badie, M Valipour 2015 International Conference on Interactive Collaborative Learning (ICL …, 2015 | 12 | 2015 |
| Shiraz soccer 2D simulation team description paper 2016 E Asali, M Valipour, A Afshar, O Asali, MR Katebzadeh, S Tafazol, ... RoboCup 2016 Symposium and Competitions: Team Description Papers, Leipzig …, 2016 | 9 | 2016 |
| 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, M Tahaei, B Chen, ... arXiv preprint arXiv:2309.00255, 2023 | 6 | 2023 |
| Persian gulf soccer 2d simulation team description paper 2017 E Asali, A Moravej, S Akbarpoor, O Asali, MR Katebzadeh, S Tafazol, ... The 21th annual RoboCup International Symposium, Japan, Nagoya, 2017 | 6 | 2017 |
| Using machine learning approaches to detect opponent formation, in 2016 Artificial Intelligence and Robotics (IRANOPEN) E Asali, M Valipour, N Zare, A Afshar, M Katebzadeh, GH Dastghaibyfard IEEE, Piscataway, 2016 | 3 | 2016 |
| 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 | 2 | 2024 |
| 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 |
| S2D: Sorted Speculative Decoding For More Efficient Deployment of Nested Large Language Models P Kavehzadeh, M Pourreza, M Valipour, T Zhu, H Bai, A Ghodsi, B Chen, ... arXiv preprint arXiv:2407.01955, 2024 | | 2024 |
| SeeFar: Satellite Agnostic Multi-Resolution Dataset for Geospatial Foundation Models J Lowman, KL Zheng, R Fraser, JVG The, M Valipour arXiv preprint arXiv:2406.06776, 2024 | | 2024 |
| Symbolic Regression and Sequence Modelling with Conditional and Dynamic Language Models M Valipour University of Waterloo, 2024 | | 2024 |
| Automated dataset drift detection M Valipour, Y Pushak, R Harlow, HF Moghadam, S Hong, H Chafi US Patent App. 17/513,760, 2023 | | 2023 |
Mehdi RezagholizadehPrincipal Research Scientist, Noah's Ark Lab, Huawei Technologies在 mail.mcgill.ca 的电子邮件经过验证
