Vahid Partovi Nia

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 65

Top Topics

Top Venues

Publications

Yiwei Lu, Yaoliang Yu, Xinlin Li, Vahid Partovi Nia
Understanding Neural Network Binarization with Forward and Backward Proximal Quantizers. CoRR (2024)
Alireza Ghaffari, Sharareh Younesian, Vahid Partovi Nia, Boxing Chen, Masoud Asgharian
AdpQ: A Zero-shot Calibration Free Adaptive Post Training Quantization Method for LLMs. CoRR (2024)
Ali Edalati, Alireza Ghaffari, Masoud Asgharian, Lu Hou, Boxing Chen, Vahid Partovi Nia
OAC: Output-adaptive Calibration for Accurate Post-training Quantization. CoRR (2024)
Alireza Ghaffari, Justin Yu, Mahsa Ghazvini Nejad, Masoud Asgharian, Boxing Chen, Vahid Partovi Nia
Mitigating Outlier Activations in Low-Precision Fine-Tuning of Language Models. ICPRAM (2024)
Vahid Partovi Nia, Guojun Zhang, Ivan Kobyzev, Michael R. Metel, Xinlin Li, Ke Sun, Sobhan Hemati, Masoud Asgharian, Linglong Kong, Wulong Liu, Boxing Chen
Mathematical Challenges in Deep Learning. CoRR (2023)
Ali Mosleh, Marzieh S. Tahaei, James J. Clark, Vahid Partovi Nia
Towards Low-Cost Learning-based Camera ISP via Unrolled Optimization. CRV (2023)
Mohammadreza Tayaranian, Alireza Ghaffari, Marzieh S. Tahaei, Mehdi Rezagholizadeh, Masoud Asgharian, Vahid Partovi Nia
Towards Fine-tuning Pre-trained Language Models with Integer Forward and Backward Propagation. EACL (Findings) (2023)
Matteo Cacciola, Antonio Frangioni, Masoud Asgharian, Alireza Ghaffari, Vahid Partovi Nia
On the Convergence of Stochastic Gradient Descent in Low-precision Number Formats. CoRR (2023)
Vahid Partovi Nia, Eyyüb Sari, Vanessa Courville, Masoud Asgharian
Training Integer-Only Deep Recurrent Neural Networks. SN Comput. Sci. 4 (5) (2023)
Dounia Lakhmiri, Mahdi Zolnouri, Vahid Partovi Nia, Christophe Tribes, Sébastien Le Digabel
Scaling Deep Networks with the Mesh Adaptive Direct Search algorithm. CoRR (2023)
Alireza Ghaffari, Justin Yu, Mahsa Ghazvini Nejad, Masoud Asgharian, Boxing Chen, Vahid Partovi Nia
Mitigating Outlier Activations in Low-Precision Fine-Tuning of Language Models. CoRR (2023)
Yiwei Lu, Yaoliang Yu, Xinlin Li, Vahid Partovi Nia
Understanding Neural Network Binarization with Forward and Backward Proximal Quantizers. NeurIPS (2023)
Matteo Cacciola, Antonio Frangioni, Masoud Asgharian, Alireza Ghaffari, Vahid Partovi Nia
On the Convergence of Stochastic Gradient Descent in Low-Precision Number Formats. ICPRAM (2023)
Xinlin Li, Mariana Parazeres, Adam Oberman, Alireza Ghaffari, Masoud Asgharian, Vahid Partovi Nia
EuclidNets: An Alternative Operation for Efficient Inference of Deep Learning Models. SN Comput. Sci. 4 (5) (2023)
Xinlin Li, Bang Liu, Rui Heng Yang, Vanessa Courville, Chao Xing, Vahid Partovi Nia
DenseShift : Towards Accurate and Efficient Low-Bit Power-of-Two Quantization. ICCV (2023)
Vahid Partovi Nia, Alireza Ghaffari, Mahdi Zolnouri, Yvon Savaria
Rethinking Pareto Frontier for Performance Evaluation of Deep Neural Networks. CoRR (2022)
Alireza Ghaffari, Marzieh S. Tahaei, Mohammadreza Tayaranian, Masoud Asgharian, Vahid Partovi Nia
Is Integer Arithmetic Enough for Deep Learning Training? CoRR (2022)
Xinlin Li, Mariana Parazeres, Adam M. Oberman, Alireza Ghaffari, Masoud Asgharian, Vahid Partovi Nia
EuclidNets: An Alternative Operation for Efficient Inference of Deep Learning Models. CoRR (2022)
Alireza Ghaffari, Marzieh S. Tahaei, Mohammadreza Tayaranian, Masoud Asgharian, Vahid Partovi Nia
Is Integer Arithmetic Enough for Deep Learning Training? NeurIPS (2022)
Mariana Oliveira Prazeres, Xinlin Li, Adam M. Oberman, Vahid Partovi Nia
EuclidNets: Combining Hardware and Architecture Design for Efficient Training and Inference. ICPRAM (2022)
Vahid Partovi Nia, Eyyüb Sari, Vanessa Courville, Masoud Asgharian
Training Integer-Only Deep Recurrent Neural Networks. CoRR (2022)
Eyyüb Sari, Vanessa Courville, Vahid Partovi Nia
iRNN: Integer-only Recurrent Neural Network. ICPRAM (2022)
Xinlin Li, Bang Liu, Rui Heng Yang, Vanessa Courville, Chao Xing, Vahid Partovi Nia
DenseShift: Towards Accurate and Transferable Low-Bit Shift Network. CoRR (2022)
Mohammadreza Tayaranian, Alireza Ghaffari, Marzieh S. Tahaei, Mehdi Rezagholizadeh, Masoud Asgharian, Vahid Partovi Nia
Integer Fine-tuning of Transformer-based Models. CoRR (2022)
Marawan Gamal Abdel Hameed, Ali Mosleh, Marzieh S. Tahaei, Vahid Partovi Nia
SeKron: A Decomposition Method Supporting Many Factorization Structures. CoRR (2022)
Ali Edalati, Marzieh S. Tahaei, Ahmad Rashid, Vahid Partovi Nia, James J. Clark, Mehdi Rezagholizadeh
Kronecker Decomposition for GPT Compression. ACL (2) (2022)
Marzieh S. Tahaei, Ella Charlaix, Vahid Partovi Nia, Ali Ghodsi, Mehdi Rezagholizadeh
KroneckerBERT: Significant Compression of Pre-trained Language Models Through Kronecker Decomposition and Knowledge Distillation. NAACL-HLT (2022)
Marawan Gamal Abdel Hameed, Marzieh S. Tahaei, Ali Mosleh, Vahid Partovi Nia
Convolutional Neural Network Compression through Generalized Kronecker Product Decomposition. AAAI (2022)
Ali Edalati, Marzieh S. Tahaei, Ivan Kobyzev, Vahid Partovi Nia, James J. Clark, Mehdi Rezagholizadeh
KronA: Parameter Efficient Tuning with Kronecker Adapter. CoRR (2022)
Tim Dockhorn, Yaoliang Yu, Eyyüb Sari, Mahdi Zolnouri, Vahid Partovi Nia
Demystifying and Generalizing BinaryConnect. CoRR (2021)
Eyyüb Sari, Vanessa Courville, Vahid Partovi Nia
iRNN: Integer-only Recurrent Neural Network. CoRR (2021)
Xinlin Li, Bang Liu, Yaoliang Yu, Wulong Liu, Chunjing Xu, Vahid Partovi Nia
: Sign-Sparse-Shift Reparametrization for Effective Training of Low-bit Shift Networks. CoRR (2021)
Shaima Tilouche, Vahid Partovi Nia, Samuel Bassetto
Parallel coordinate order for high-dimensional data. Stat. Anal. Data Min. 14 (5) (2021)
Ryan Razani, Grégoire Morin, Eyyüb Sari, Vahid Partovi Nia
Adaptive Binary-Ternary Quantization. CVPR Workshops (2021)
Mouloud Belbahri, Olivier Gandouet, Alejandro Murua, Vahid Partovi Nia
A Twin Neural Model for Uplift. CoRR (2021)
Marzieh S. Tahaei, Ella Charlaix, Vahid Partovi Nia, Ali Ghodsi, Mehdi Rezagholizadeh
KroneckerBERT: Learning Kronecker Decomposition for Pre-trained Language Models via Knowledge Distillation. CoRR (2021)
Tim Dockhorn, Yaoliang Yu, Eyyüb Sari, Mahdi Zolnouri, Vahid Partovi Nia
Demystifying and Generalizing BinaryConnect. NeurIPS (2021)
Marawan Gamal Abdel Hameed, Marzieh S. Tahaei, Ali Mosleh, Vahid Partovi Nia
Convolutional Neural Network Compression through Generalized Kronecker Product Decomposition. CoRR (2021)
Ali Edalati, Marzieh S. Tahaei, Ahmad Rashid, Vahid Partovi Nia, James J. Clark, Mehdi Rezagholizadeh
Kronecker Decomposition for GPT Compression. CoRR (2021)
Xinlin Li, Bang Liu, Yaoliang Yu, Wulong Liu, Chunjing Xu, Vahid Partovi Nia
S$^3$: Sign-Sparse-Shift Reparametrization for Effective Training of Low-bit Shift Networks. NeurIPS (2021)
Vahid Partovi Nia, Xinlin Li, Masoud Asgharian, Shoubo Hu, Zhitang Chen, Yanhui Geng
Clustering Causal Additive Noise Models. CoRR (2020)
Alejandro Murua, Ramchalam Ramakrishnan, Xinlin Li, Rui Heng Yang, Vahid Partovi Nia
Tensor train decompositions on recurrent networks. CoRR (2020)
Farnoush Farhadi, Vahid Partovi Nia, Andrea Lodi
Activation Adaptation in Neural Networks. ICPRAM (2020)
Eyyüb Sari, Vahid Partovi Nia
Batch Normalization in Quantized Networks. CoRR (2020)
Ramchalam Kinattinkara Ramakrishnan, Eyyüb Sari, Vahid Partovi Nia
Differentiable Mask for Pruning Convolutional and Recurrent Networks. CRV (2020)
Mahdi Zolnouri, Xinlin Li, Vahid Partovi Nia
Importance of Data Loading Pipeline in Training Deep Neural Networks. CoRR (2020)
Ali Vahdat, Mouloud Belbahri, Vahid Partovi Nia
Active Learning for High-Dimensional Binary Features. CNSM (2019)
Ramchalam Kinattinkara Ramakrishnan, Shangling Jui, Vahid Partovi Nia
Deep Demosaicing for Edge Implementation. CoRR (2019)
Ramchalam Kinattinkara Ramakrishnan, Shangling Jui, Vahid Partovi Nia
Deep Demosaicing for Edge Implementation. ICIAR (1) (2019)
Xinlin Li, Vahid Partovi Nia
Random Bias Initialization Improving Binary Neural Network Training. CoRR (2019)
Grégoire Morin, Ryan Razani, Vahid Partovi Nia, Eyyüb Sari
Smart Ternary Quantization. CoRR (2019)
Mohammad Sajjad Ghaemi, Daniel B. DiGiulio, Kévin Contrepois, Benjamin J. Callahan, Thuy T. M. Ngo, Brittany Lee-McMullen, Benoit Lehallier, Anna Robaczewska, David Mcilwain, Yael Rosenberg-Hasson, Ronald J. Wong, Cecele Quaintance, Anthony Culos, Natalie Stanley, Athena Tanada, Amy Tsai, Dyani Gaudilliere, Edward Ganio, Xiaoyuan Han, Kazuo Ando, Leslie McNeil, Martha Tingle, Paul H. Wise, Ivana Maric, Marina Sirota, Tony Wyss-Coray, Virginia D. Winn, Maurice L. Druzin, Ronald Gibbs, Gary L. Darmstadt, David B. Lewis, Vahid Partovi Nia, Bruno Agard, Robert Tibshirani, Garry P. Nolan, Michael P. Snyder, David A. Relman, Stephen R. Quake, Gary M. Shaw, David K. Stevenson, Martin S. Angst, Brice Gaudilliere, Nima Aghaeepour
Multiomics modeling of the immunome, transcriptome, microbiome, proteome and metabolome adaptations during human pregnancy. Bioinform. 35 (1) (2019)
Mouloud Belbahri, Eyyüb Sari, Sajad Darabi, Vahid Partovi Nia
Foothill: A Quasiconvex Regularization for Edge Computing of Deep Neural Networks. ICIAR (2) (2019)
Eyyüb Sari, Mouloud Belbahri, Vahid Partovi Nia
A Study on Binary Neural Networks Initialization. CoRR (2019)
Farnoush Farhadi, Vahid Partovi Nia, Andrea Lodi
Activation Adaptation in Neural Networks. CoRR (2019)
Ali Vahdat, Mouloud Belbahri, Vahid Partovi Nia
Active Learning for High-Dimensional Binary Features. CoRR (2019)
Shaima Tilouche, Vahid Partovi Nia, Samuel Bassetto
Parallel Coordinate Order for High-Dimensional Data. CoRR (2019)
Ramchalam Kinattinkara Ramakrishnan, Eyyüb Sari, Vahid Partovi Nia
Differentiable Mask Pruning for Neural Networks. CoRR (2019)
Mouloud Belbahri, Eyyüb Sari, Sajad Darabi, Vahid Partovi Nia
Foothill: A Quasiconvex Regularization Function. CoRR (2019)
Sajad Darabi, Mouloud Belbahri, Matthieu Courbariaux, Vahid Partovi Nia
BNN+: Improved Binary Network Training. CoRR (2018)
Shoubo Hu, Zhitang Chen, Vahid Partovi Nia, Laiwan Chan, Yanhui Geng
Causal Inference and Mechanism Clustering of a Mixture of Additive Noise Models. CoRR (2018)
Shoubo Hu, Zhitang Chen, Vahid Partovi Nia, Lai-Wan Chan, Yanhui Geng
Causal Inference and Mechanism Clustering of A Mixture of Additive Noise Models. NeurIPS (2018)
Mina Mirshahi, Vahid Partovi Nia, Luc Adjengue
Statistical Measurement Validation with Application to Electronic Nose Technology. ICPRAM (2016)
Amir-Hosein Homaie-Shandizi, Vahid Partovi Nia, Michel Gamache, Bruno Agard
Flight deck crew reserve: From data to forecasting. Eng. Appl. Artif. Intell. 50 (2016)
Mina Mirshahi, Vahid Partovi Nia, Luc Adjengue
An Online Data Validation Algorithm for Electronic Nose. ICPRAM (Revised Selected Papers) (2016)