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Ali Ghodsi

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Learning Chemotherapy Drug Action via Universal Physics-Informed Neural Networks

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Apr 11, 2024
Lena Podina, Ali Ghodsi, Mohammad Kohandel

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Orchid: Flexible and Data-Dependent Convolution for Sequence Modeling

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Feb 28, 2024
Mahdi Karami, Ali Ghodsi

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QDyLoRA: Quantized Dynamic Low-Rank Adaptation for Efficient Large Language Model Tuning

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Feb 16, 2024
Hossein Rajabzadeh, Mojtaba Valipour, Tianshu Zhu, Marzieh Tahaei, Hyock Ju Kwon, Ali Ghodsi, Boxing Chen, Mehdi Rezagholizadeh

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Scalable Graph Self-Supervised Learning

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Feb 14, 2024
Ali Saheb Pasand, Reza Moravej, Mahdi Biparva, Raika Karimi, Ali Ghodsi

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WERank: Towards Rank Degradation Prevention for Self-Supervised Learning Using Weight Regularization

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Feb 14, 2024
Ali Saheb Pasand, Reza Moravej, Mahdi Biparva, Ali Ghodsi

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Sorted LLaMA: Unlocking the Potential of Intermediate Layers of Large Language Models for Dynamic Inference Using Sorted Fine-Tuning (SoFT)

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Sep 16, 2023
Parsa Kavehzadeh, Mojtaba Valipour, Marzieh Tahaei, Ali Ghodsi, Boxing Chen, Mehdi Rezagholizadeh

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SortedNet, a Place for Every Network and Every Network in its Place: Towards a Generalized Solution for Training Many-in-One Neural Networks

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Sep 01, 2023
Mojtaba Valipour, Mehdi Rezagholizadeh, Hossein Rajabzadeh, Marzieh Tahaei, Boxing Chen, Ali Ghodsi

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Recurrent Neural Networks and Long Short-Term Memory Networks: Tutorial and Survey

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Apr 22, 2023
Benyamin Ghojogh, Ali Ghodsi

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Improved knowledge distillation by utilizing backward pass knowledge in neural networks

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Jan 27, 2023
Aref Jafari, Mehdi Rezagholizadeh, Ali Ghodsi

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Improving Generalization of Pre-trained Language Models via Stochastic Weight Averaging

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Dec 16, 2022
Peng Lu, Ivan Kobyzev, Mehdi Rezagholizadeh, Ahmad Rashid, Ali Ghodsi, Philippe Langlais

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