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1

PRANC: Pseudo RAndom Networks for Compacting deep models:

, In: 2023 IEEE/CVF International Conference on Computer Vision (ICCV),

Nooralinejad, Parsa ; Abbasi, Ali ; Koohpayegani, Soroush Abbasi... - p. 16975-16985 , 2023

Link: https://doi.org/10.1109/..

2

Multi-Agent Lifelong Implicit Neural Learning:

Kolouri, Soheil ; Abbasi, Ali ; Koohpayegani, Soroush Abbasi..
IEEE Signal Processing Letters. 30 (2023) - p. 1812-1816 , 2023

Link: https://doi.org/10.1109/..

3

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

, In: 2020 IEEE International Symposium on Circuits and Systems (ISCAS),

Hojabr, Reza ; Givaki, Kamyar ; Pourahmadi, Kossar... - p. 1-5 , 2020

Link: https://doi.org/10.1109/..

4

BrainWash: A Poisoning Attack to Forget in Continual Learni..:

Abbasi, Ali ; Nooralinejad, Parsa ; Pirsiavash, Hamed.
http://arxiv.org/abs/2311.11995. , 2023

Link: http://arxiv.org/abs/231..

5

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

Koohpayegani, Soroush Abbasi ; Navaneet, KL ; Nooralinejad, Parsa..
http://arxiv.org/abs/2310.02556. , 2023

Link: http://arxiv.org/abs/231..

6

Sparsity and Heterogeneous Dropout for Continual Learning i..:

Abbasi, Ali ; Nooralinejad, Parsa ; Braverman, Vladimir..
http://arxiv.org/abs/2203.06514. , 2022

Link: http://arxiv.org/abs/220..

7

PRANC: Pseudo RAndom Networks for Compacting deep models:

Nooralinejad, Parsa ; Abbasi, Ali ; Koohpayegani, Soroush Abbasi...
http://arxiv.org/abs/2206.08464. , 2022

Link: http://arxiv.org/abs/220..

8

A Simple Baseline for Low-Budget Active Learning:

Pourahmadi, Kossar ; Nooralinejad, Parsa ; Pirsiavash, Hamed
http://arxiv.org/abs/2110.12033. , 2021

Link: http://arxiv.org/abs/211..

9

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

Hojabr, Reza ; Givaki, Kamyar ; Pourahmadi, Kossar...
http://arxiv.org/abs/2010.05197. , 2020

Link: http://arxiv.org/abs/201..

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