While large-scale image-text pretrained models such as CLIP have been us...
Spiking Neural Networks (SNNs) are promising energy-efficient models for...
Despite the significant progress in 6-DoF visual localization, researche...
We motivate a new methodological framework for era-adjusting baseball
st...
Spiking Neural Network (SNN) is a promising energy-efficient AI model wh...
While early research in neural architecture search (NAS) required extrem...
As machine learning becomes increasingly incorporated in crucial
decisio...
Many information sources are not just sequences of distinguishable symbo...
The era of edge computing has arrived. Although the Internet is the back...
Conventional image retrieval techniques for Structure-from-Motion (SfM)
...
Existing Neural Architecture Search (NAS) methods either encode neural
a...
Unsupervised domain adaptation studies the problem of utilizing a releva...
(Very early draft)Traditional supervised learning keeps pushing convolut...
There is growing interest in designing lightweight neural networks for m...
The use of automatic methods, often referred to as Neural Architecture S...
In this paper, we empirically investigate applying word-level weights to...
Face recognition has seen a significant improvement by using the deep
co...