GitHub

The Linear Attention Resurrection in Vision Transformer

All models use multi-GPU setting with a total batch size of 4096 on ImageNet-1k and 1024 on ImageNet-22k. Training from scratch on ImageNet-1k. python -m torch.distributed.launch --nproc_per_node=8 ...
IEEE

Graph Linear Convolution Pooling for Learning in Incomplete High-Dimensional Data

Abstract: High-dimensional and incomplete (HDI) data are frequently encountered in diverse real-world applications involving complex interactions among numerous nodes. Approaches based on latent ...
Frontiers

Frequency-aligned loss and spectral filtering improve long-range influenza forecasting

1 Department of Rehabilitation, West China Hospital Sichuan University Jintang Hospital, Jintang First People's Hospital, Chengdu, China 2 Jilin Institute of Physical Education, Changchun, China ...
IEEE

WLB-CANUN: Widely Linear Beamforming in Coprime Array With Non-Uniform Noise

Abstract: The performance of widely linear beamforming (WLB) is superior to adaptive beamforming, but it is limited by the uniform linear array geometry and non-uniform noise. In this paper, to ...
GitHub

Linear Regression Practice Using Python

From the first 5 rows of the dataset, we can see that there are several columns available: species, island, bill_length_mm, bill_depth_mm, flipper_length_mm, body_mass_g, and sex. There also appears ...