Parsa Nooralinejad

According to our database, Parsa Nooralinejad authored at least 10 papers between 2020 and 2024.

Collaborative distances:

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

2024

MCNC: Manifold Constrained Network Compression.

Chayne Thrash, Ali Abbasi, Parsa Nooralinejad, Soroush Abbasi Koohpayegani, Reed Andreas, Hamed Pirsiavash, Soheil Kolouri

CoRR, 2024

NOLA: Compressing LoRA using Linear Combination of Random Basis.

Soroush Abbasi Koohpayegani, Navaneet K. L., Parsa Nooralinejad, Soheil Kolouri, Hamed Pirsiavash

Proceedings of the Twelfth International Conference on Learning Representations, 2024

BrainWash: A Poisoning Attack to Forget in Continual Learning.

Ali Abbasi, Parsa Nooralinejad, Hamed Pirsiavash, Soheil Kolouri

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Multi-Agent Lifelong Implicit Neural Learning.

Soheil Kolouri, Ali Abbasi, Soroush Abbasi Koohpayegani, Parsa Nooralinejad, Hamed Pirsiavash

IEEE Signal Process. Lett., 2023

NOLA: Networks as Linear Combination of Low Rank Random Basis.

Soroush Abbasi Koohpayegani, K. L. Navaneet, Parsa Nooralinejad, Soheil Kolouri, Hamed Pirsiavash

CoRR, 2023

PRANC: Pseudo RAndom Networks for Compacting deep models.

Parsa Nooralinejad, Ali Abbasi, Soroush Abbasi Koohpayegani, Kossar Pourahmadi Meibodi, Rana Muhammad Shahroz Khan, Soheil Kolouri, Hamed Pirsiavash

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

2022

PRANC: Pseudo RAndom Networks for Compacting deep models.

Parsa Nooralinejad, Ali Abbasi, Soheil Kolouri, Hamed Pirsiavash

CoRR, 2022

Sparsity and Heterogeneous Dropout for Continual Learning in the Null Space of Neural Activations.

Ali Abbasi, Parsa Nooralinejad, Vladimir Braverman, Hamed Pirsiavash, Soheil Kolouri

Proceedings of the Conference on Lifelong Learning Agents, 2022

2021

A Simple Baseline for Low-Budget Active Learning.

Kossar Pourahmadi, Parsa Nooralinejad, Hamed Pirsiavash

CoRR, 2021

2020

TaxoNN: A Light-Weight Accelerator for Deep Neural Network Training.

Reza Hojabr, Kamyar Givaki, Kossar Pourahmadi, Parsa Nooralinejad, Ahmad Khonsari, Dara Rahmati, M. Hassan Najafi

Proceedings of the IEEE International Symposium on Circuits and Systems, 2020