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 ...

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 ...

Advancements in neural networks have brought significant changes across domains like natural language processing, computer vision, and scientific computing. Despite these successes, the computational ...

Deep learning is transforming the way we approach complex problems in various fields, from image recognition to natural language processing. Among the tools available to researchers and developers, ...

import taichi as ti import torch @ti.kernel def double_kernel(x:ti.types.ndarray(dtype=ti.f32, ndim=1), out:ti.types.ndarray(dtype=ti.f32, ndim=1)): for i in range(x ...