Abstract: This article proposes a new hyperspectral image (HSI) denoising and destriping method via gradient tensor subspace low-rank learning and along-across stripe directional constraints ...

ABSTRACT: This paper presents derivation of micro and macro conservation and balance laws and the constitutive theories for the linear elastic micromorphic theory, in which elasticity is considered ...

Hello! Thanks for your great work! It is truly the best work I've come across in the field of data selection. I have a question about how the gradients of LLMs are handled in the method: When ...

Artificial intelligence (AI) is infamous for its resource-heavy training, but a new study may have found a solution in a novel communications system, called ZEN, that markedly improves the way large ...

Google’s Pixel phones have been an odd mix of joys and frustrations over the past few years. On the one hand, they offer excellent camera output and clean software, but they are also held back by ...

I'm using a bert model and I wanted to apply differential privacy. For that I tried to add noise to the gradients. The problem comes from this line: param.grad += torch.tensor(np.random.normal(0, 0, ...

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