Vahid Partovi Nia

According to our database, Vahid Partovi Nia authored at least 50 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

OAC: Output-adaptive Calibration for Accurate Post-training Quantization.

Ali Edalati, Alireza Ghaffari, Masoud Asgharian, Lu Hou, Boxing Chen, Vahid Partovi Nia

CoRR, 2024

AdpQ: A Zero-shot Calibration Free Adaptive Post Training Quantization Method for LLMs.

Alireza Ghaffari, Sharareh Younesian, Vahid Partovi Nia, Boxing Chen, Masoud Asgharian

CoRR, 2024

Mitigating Outlier Activations in Low-Precision Fine-Tuning of Language Models.

Alireza Ghaffari, Justin Yu, Mahsa Ghazvini Nejad, Masoud Asgharian, Boxing Chen, Vahid Partovi Nia

Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods, 2024

2023

Training Integer-Only Deep Recurrent Neural Networks.

Vahid Partovi Nia, Eyyüb Sari, Vanessa Courville, Masoud Asgharian

SN Comput. Sci., September, 2023

EuclidNets: An Alternative Operation for Efficient Inference of Deep Learning Models.

Xinlin Li, Mariana Parazeres, Adam Oberman, Alireza Ghaffari, Masoud Asgharian, Vahid Partovi Nia

SN Comput. Sci., September, 2023

Mathematical Challenges in Deep Learning.

Vahid Partovi Nia, Guojun Zhang, Ivan Kobyzev, Michael R. Metel, Xinlin Li, Ke Sun, Sobhan Hemati, Masoud Asgharian, Linglong Kong, Wulong Liu, Boxing Chen

CoRR, 2023

Scaling Deep Networks with the Mesh Adaptive Direct Search algorithm.

Dounia Lakhmiri, Mahdi Zolnouri, Vahid Partovi Nia, Christophe Tribes, Sébastien Le Digabel

CoRR, 2023

Understanding Neural Network Binarization with Forward and Backward Proximal Quantizers.

Yiwei Lu, Yaoliang Yu, Xinlin Li, Vahid Partovi Nia

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

On the Convergence of Stochastic Gradient Descent in Low-Precision Number Formats.

Matteo Cacciola, Antonio Frangioni, Masoud Asgharian, Alireza Ghaffari, Vahid Partovi Nia

Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods, 2023

DenseShift : Towards Accurate and Efficient Low-Bit Power-of-Two Quantization.

Xinlin Li, Bang Liu, Rui Heng Yang, Vanessa Courville, Chao Xing, Vahid Partovi Nia

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Towards Fine-tuning Pre-trained Language Models with Integer Forward and Backward Propagation.

Mohammadreza Tayaranian, Alireza Ghaffari, Marzieh S. Tahaei, Mehdi Rezagholizadeh, Masoud Asgharian, Vahid Partovi Nia

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Towards Low-Cost Learning-based Camera ISP via Unrolled Optimization.

Ali Mosleh, Marzieh S. Tahaei, James J. Clark, Vahid Partovi Nia

Proceedings of the 20th Conference on Robots and Vision, 2023

2022

KronA: Parameter Efficient Tuning with Kronecker Adapter.

Ali Edalati, Marzieh S. Tahaei, Ivan Kobyzev, Vahid Partovi Nia, James J. Clark, Mehdi Rezagholizadeh

CoRR, 2022

SeKron: A Decomposition Method Supporting Many Factorization Structures.

Marawan Gamal Abdel Hameed, Ali Mosleh, Marzieh S. Tahaei, Vahid Partovi Nia

CoRR, 2022

Integer Fine-tuning of Transformer-based Models.

Mohammadreza Tayaranian, Alireza Ghaffari, Marzieh S. Tahaei, Mehdi Rezagholizadeh, Masoud Asgharian, Vahid Partovi Nia

CoRR, 2022

DenseShift: Towards Accurate and Transferable Low-Bit Shift Network.

Xinlin Li, Bang Liu, Rui Heng Yang, Vanessa Courville, Chao Xing, Vahid Partovi Nia

CoRR, 2022

Rethinking Pareto Frontier for Performance Evaluation of Deep Neural Networks.

Vahid Partovi Nia, Alireza Ghaffari, Mahdi Zolnouri, Yvon Savaria

CoRR, 2022

Is Integer Arithmetic Enough for Deep Learning Training?

Alireza Ghaffari, Marzieh S. Tahaei, Mohammadreza Tayaranian, Masoud Asgharian, Vahid Partovi Nia

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

KroneckerBERT: Significant Compression of Pre-trained Language Models Through Kronecker Decomposition and Knowledge Distillation.

Marzieh S. Tahaei, Ella Charlaix, Vahid Partovi Nia, Ali Ghodsi, Mehdi Rezagholizadeh

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

iRNN: Integer-only Recurrent Neural Network.

Eyyüb Sari, Vanessa Courville, Vahid Partovi Nia

Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods, 2022

EuclidNets: Combining Hardware and Architecture Design for Efficient Training and Inference.

Mariana Oliveira Prazeres, Xinlin Li, Adam M. Oberman, Vahid Partovi Nia

Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods, 2022

Kronecker Decomposition for GPT Compression.

Ali Edalati, Marzieh S. Tahaei, Ahmad Rashid, Vahid Partovi Nia, James J. Clark, Mehdi Rezagholizadeh

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

Convolutional Neural Network Compression through Generalized Kronecker Product Decomposition.

Marawan Gamal Abdel Hameed, Marzieh S. Tahaei, Ali Mosleh, Vahid Partovi Nia

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Parallel coordinate order for high-dimensional data.

Shaima Tilouche, Vahid Partovi Nia, Samuel Bassetto

Stat. Anal. Data Min., 2021

KroneckerBERT: Learning Kronecker Decomposition for Pre-trained Language Models via Knowledge Distillation.

Marzieh S. Tahaei, Ella Charlaix, Vahid Partovi Nia, Ali Ghodsi, Mehdi Rezagholizadeh

CoRR, 2021

S³: Sign-Sparse-Shift Reparametrization for Effective Training of Low-bit Shift Networks.

Xinlin Li, Bang Liu, Yaoliang Yu, Wulong Liu, Chunjing Xu, Vahid Partovi Nia

CoRR, 2021

A Twin Neural Model for Uplift.

Mouloud Belbahri, Olivier Gandouet, Alejandro Murua, Vahid Partovi Nia

CoRR, 2021

S$^3$: Sign-Sparse-Shift Reparametrization for Effective Training of Low-bit Shift Networks.

Xinlin Li, Bang Liu, Yaoliang Yu, Wulong Liu, Chunjing Xu, Vahid Partovi Nia

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Demystifying and Generalizing BinaryConnect.

Tim Dockhorn, Yaoliang Yu, Eyyüb Sari, Mahdi Zolnouri, Vahid Partovi Nia

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Adaptive Binary-Ternary Quantization.

Ryan Razani, Grégoire Morin, Eyyüb Sari, Vahid Partovi Nia

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

Tensor train decompositions on recurrent networks.

Alejandro Murua, Ramchalam Ramakrishnan, Xinlin Li, Rui Heng Yang, Vahid Partovi Nia

CoRR, 2020

Clustering Causal Additive Noise Models.

Vahid Partovi Nia, Xinlin Li, Masoud Asgharian, Shoubo Hu, Zhitang Chen, Yanhui Geng

CoRR, 2020

Importance of Data Loading Pipeline in Training Deep Neural Networks.

Mahdi Zolnouri, Xinlin Li, Vahid Partovi Nia

CoRR, 2020

Batch Normalization in Quantized Networks.

Eyyüb Sari, Vahid Partovi Nia

CoRR, 2020

Activation Adaptation in Neural Networks.

Farnoush Farhadi, Vahid Partovi Nia, Andrea Lodi

Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods, 2020

Differentiable Mask for Pruning Convolutional and Recurrent Networks.

Ramchalam Kinattinkara Ramakrishnan, Eyyüb Sari, Vahid Partovi Nia

Proceedings of the 17th Conference on Computer and Robot Vision, 2020

2019

Random Bias Initialization Improving Binary Neural Network Training.

Xinlin Li, Vahid Partovi Nia

CoRR, 2019

Smart Ternary Quantization.

Grégoire Morin, Ryan Razani, Vahid Partovi Nia, Eyyüb Sari

CoRR, 2019

A Study on Binary Neural Networks Initialization.

Eyyüb Sari, Mouloud Belbahri, Vahid Partovi Nia

CoRR, 2019

Differentiable Mask Pruning for Neural Networks.

Ramchalam Kinattinkara Ramakrishnan, Eyyüb Sari, Vahid Partovi Nia

CoRR, 2019

Foothill: A Quasiconvex Regularization Function.

Mouloud Belbahri, Eyyüb Sari, Sajad Darabi, Vahid Partovi Nia

CoRR, 2019

Multiomics modeling of the immunome, transcriptome, microbiome, proteome and metabolome adaptations during human pregnancy.

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

Bioinform., 2019

Deep Demosaicing for Edge Implementation.

Ramchalam Kinattinkara Ramakrishnan, Shangling Jui, Vahid Partovi Nia

Proceedings of the Image Analysis and Recognition - 16th International Conference, 2019

Foothill: A Quasiconvex Regularization for Edge Computing of Deep Neural Networks.

Mouloud Belbahri, Eyyüb Sari, Sajad Darabi, Vahid Partovi Nia

Proceedings of the Image Analysis and Recognition - 16th International Conference, 2019

Active Learning for High-Dimensional Binary Features.

Ali Vahdat, Mouloud Belbahri, Vahid Partovi Nia

Proceedings of the 15th International Conference on Network and Service Management, 2019

2018

BNN+: Improved Binary Network Training.

Sajad Darabi, Mouloud Belbahri, Matthieu Courbariaux, Vahid Partovi Nia

CoRR, 2018

Causal Inference and Mechanism Clustering of A Mixture of Additive Noise Models.

Shoubo Hu, Zhitang Chen, Vahid Partovi Nia, Lai-Wan Chan, Yanhui Geng

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2016

Flight deck crew reserve: From data to forecasting.

Amir-Hosein Homaie-Shandizi, Vahid Partovi Nia, Michel Gamache, Bruno Agard

Eng. Appl. Artif. Intell., 2016

An Online Data Validation Algorithm for Electronic Nose.

Mina Mirshahi, Vahid Partovi Nia, Luc Adjengue

Proceedings of the Pattern Recognition Applications and Methods, 2016

Statistical Measurement Validation with Application to Electronic Nose Technology.

Mina Mirshahi, Vahid Partovi Nia, Luc Adjengue

Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods, 2016