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https://dmadaan.com/2020-07-06-ANP-ICML/
Adversarial Neural Pruning with Latent Vulnerability Suppression
Despite the remarkable performance of deep neural networks on various computer vision tasks, they are known to be susceptible to adversarialperturbations,...
neural pruningadversariallatentvulnerabilitysuppression
https://nextgeninvent.com/publication/dualprune-a-dual-purpose-pruning-of-convolutional-neural-networks-for-resource-constrained-devices/
DualPrune: A Dual Purpose Pruning of Convolutional Neural Networks for Resource-Constrained Devices
Jan 24, 2024 - The use of deep learning models in edge-devices is still limited. Deploying a large model onto small devices for real-time inference requires an adequate...
convolutional neural networksdual purposepruning
https://deepai.org/publication/opq-compressing-deep-neural-networks-with-one-shot-pruning-quantization
OPQ: Compressing Deep Neural Networks with One-shot Pruning-Quantization | DeepAI
05/23/22 - As Deep Neural Networks (DNNs) usually are overparameterized and have millions of weight parameters, it is challenging to deploy t...
deep neural networksone shotopqcompressingpruning