Parsa Nooralinejad

16 papers A* 4A 2C 1Journal 8Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	FAMOUS: Fault Attack Mitigation via Exploiting Invariances in Deep Neural Networks. ITC Javad Bahrami, Parsa Nooralinejad, Hamed Pirsiavash, Naghmeh Karimi
2025	A*	`conf`	MCNC: Manifold-Constrained Reparameterization for Neural Compression. ICLR Chayne Thrash, Reed Andreas, Ali Abbasi, Parsa Nooralinejad, Soroush Abbasi Koohpayegani, Hamed Pirsiavash, Soheil Kolouri
2024	A*	`conf`	BrainWash: A Poisoning Attack to Forget in Continual Learning. CVPR Ali Abbasi, Parsa Nooralinejad, Hamed Pirsiavash, Soheil Kolouri
2024	A	`conf`	FAT-RABBIT: Fault-Aware Training towards Robustness AgainstBit-flip Based Attacks in Deep Neural Networks. ITC Hossein Pourmehrani, Javad Bahrami, Parsa Nooralinejad, Hamed Pirsiavash, Naghmeh Karimi
2024	J	`jnl`	MCNC: Manifold Constrained Network Compression. CoRR Chayne Thrash, Ali Abbasi, Parsa Nooralinejad, Soroush Abbasi Koohpayegani, Reed Andreas, Hamed Pirsiavash, Soheil Kolouri
2024	A*	`conf`	NOLA: Compressing LoRA using Linear Combination of Random Basis. ICLR Soroush Abbasi Koohpayegani, Navaneet K. L., Parsa Nooralinejad, Soheil Kolouri, Hamed Pirsiavash
2023	J	`jnl`	BrainWash: A Poisoning Attack to Forget in Continual Learning. CoRR Ali Abbasi, Parsa Nooralinejad, Hamed Pirsiavash, Soheil Kolouri
2023	J	`jnl`	Multi-Agent Lifelong Implicit Neural Learning. IEEE Signal Process. Lett. Soheil Kolouri, Ali Abbasi, Soroush Abbasi Koohpayegani, Parsa Nooralinejad, Hamed Pirsiavash
2023	J	`jnl`	NOLA: Networks as Linear Combination of Low Rank Random Basis. CoRR Soroush Abbasi Koohpayegani, K. L. Navaneet, Parsa Nooralinejad, Soheil Kolouri, Hamed Pirsiavash
2023	A*	`conf`	PRANC: Pseudo RAndom Networks for Compacting deep models. ICCV Parsa Nooralinejad, Ali Abbasi, Soroush Abbasi Koohpayegani, Kossar Pourahmadi Meibodi, Rana Muhammad Shahroz Khan, Soheil Kolouri, Hamed Pirsiavash
2022	J	`jnl`	PRANC: Pseudo RAndom Networks for Compacting deep models. CoRR Parsa Nooralinejad, Ali Abbasi, Soheil Kolouri, Hamed Pirsiavash
2022	—	`conf`	Sparsity and Heterogeneous Dropout for Continual Learning in the Null Space of Neural Activations. CoLLAs Ali Abbasi, Parsa Nooralinejad, Vladimir Braverman, Hamed Pirsiavash, Soheil Kolouri
2022	J	`jnl`	Sparsity and Heterogeneous Dropout for Continual Learning in the Null Space of Neural Activations. CoRR Ali Abbasi, Parsa Nooralinejad, Vladimir Braverman, Hamed Pirsiavash, Soheil Kolouri
2021	J	`jnl`	A Simple Baseline for Low-Budget Active Learning. CoRR Kossar Pourahmadi, Parsa Nooralinejad, Hamed Pirsiavash
2020	C	`conf`	TaxoNN: A Light-Weight Accelerator for Deep Neural Network Training. ISCAS Reza Hojabr, Kamyar Givaki, Kossar Pourahmadi, Parsa Nooralinejad, Ahmad Khonsari, Dara Rahmati, M. Hassan Najafi
2020	J	`jnl`	TaxoNN: A Light-Weight Accelerator for Deep Neural Network Training. CoRR Reza Hojabr, Kamyar Givaki, Kossar Pourahmadi, Parsa Nooralinejad, Ahmad Khonsari, Dara Rahmati, M. Hassan Najafi