Search Results - Nooralinejad, Parsa

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  1. 1
    Multi-Agent Lifelong Implicit Neural Learning

    Multi-Agent Lifelong Implicit Neural Learning by Kolouri, Soheil, Abbasi, Ali, Koohpayegani, Soroush Abbasi, Nooralinejad, Parsa, Pirsiavash, Hamed

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  2. 2
    FAT-RABBIT: Fault-Aware Training towards Robustness AgainstBit-flip Based Attacks in Deep Neural Networks

    FAT-RABBIT: Fault-Aware Training towards Robustness AgainstBit-flip Based Attacks in Deep Neural Networks by Pourmehrani, Hossein, Bahrami, Javad, Nooralinejad, Parsa, Pirsiavash, Hamed, Karimi, Naghmeh

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  3. 3
    TaxoNN: A Light-Weight Accelerator for Deep Neural Network Training

    TaxoNN: A Light-Weight Accelerator for Deep Neural Network Training by Hojabr, Reza, Givaki, Kamyar, Pourahmadi, Kossar, Parsa Nooralinejad, Khonsari, Ahmad, Rahmati, Dara, M Hassan Najafi

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  4. 4
    TaxoNN: A Light-Weight Accelerator for Deep Neural Network Training

    TaxoNN: A Light-Weight Accelerator for Deep Neural Network Training by Hojabr, Reza, Givaki, Kamyar, Pourahmadi, Kossar, Nooralinejad, Parsa, Khonsari, Ahmad, Rahmati, Dara, Najafi, M. Hassan

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  5. 5
    BrainWash: A Poisoning Attack to Forget in Continual Learning

    BrainWash: A Poisoning Attack to Forget in Continual Learning by Abbasi, Ali, Nooralinejad, Parsa, Pirsiavash, Hamed, Kolouri, Soheil

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  6. 6
    A Simple Baseline for Low-Budget Active Learning

    A Simple Baseline for Low-Budget Active Learning by Pourahmadi, Kossar, Parsa Nooralinejad, Pirsiavash, Hamed

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  7. 7
    BrainWash: A Poisoning Attack to Forget in Continual Learning

    BrainWash: A Poisoning Attack to Forget in Continual Learning by Abbasi, Ali, Parsa Nooralinejad, Pirsiavash, Hamed, Kolouri, Soheil

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  8. 8
    MCNC: Manifold Constrained Network Compression

    MCNC: Manifold Constrained Network Compression by Thrash, Chayne, Abbasi, Ali, Parsa Nooralinejad, Soroush Abbasi Koohpayegani, Reed, Andreas, Pirsiavash, Hamed, Kolouri, Soheil

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  9. 9
    NOLA: Compressing LoRA using Linear Combination of Random Basis

    NOLA: Compressing LoRA using Linear Combination of Random Basis by Soroush Abbasi Koohpayegani, Navaneet, K L, Parsa Nooralinejad, Kolouri, Soheil, Pirsiavash, Hamed

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  10. 10
    Sparsity and Heterogeneous Dropout for Continual Learning in the Null Space of Neural Activations

    Sparsity and Heterogeneous Dropout for Continual Learning in the Null Space of Neural Activations by Abbasi, Ali, Parsa Nooralinejad, Braverman, Vladimir, Pirsiavash, Hamed, Kolouri, Soheil

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  11. 11
    PRANC: Pseudo RAndom Networks for Compacting deep models

    PRANC: Pseudo RAndom Networks for Compacting deep models by Parsa Nooralinejad, Abbasi, Ali, Soroush Abbasi Koohpayegani, Kossar Pourahmadi Meibodi, Rana Muhammad Shahroz Khan, Kolouri, Soheil, Pirsiavash, Hamed

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