A team of researchers have developed a domain adaption framework capable of transferring knowledge from solar power plants with abundant data to plants that need to be trained without labelled data.
ABSTRACT: Anomaly detection in complex crowd scenes is a challenging task due to the inherent variability in crowd behaviors, interactions, and scales. This paper proposes a novel hybrid model that ...
A new technical paper titled “Generative AI for Analog Integrated Circuit Design: Methodologies and Applications” was published by researchers at McMaster University. “Electronic Design Automation ...
Jomo Kenyatta University of Agriculture and Technology, Juja, Kiambu County, Kenya. Where KL denotes the Kullback-Leibler divergence, and p(z) is a prior distribution over the latent space (typically ...
Modern image and video generation methods rely heavily on tokenization to encode high-dimensional data into compact latent representations. While advancements in scaling generator models have been ...
Note: We have recently found that Dora-VAE can specify tokens of any length during inference, even if this length has not been seen during training. During inference, you could use a latent code ...
Shares of Advance Auto Parts Inc. pulled a sharp early U-turn to trade higher Thursday, after the company laid out its plan to return to sales growth and to boost margins, including by closing more ...
This is a PyTorch implementation of the paper PROGRESSIVE LEARNING AND DISENTANGLEMENT OF HIERARCHICAL REPRESENTATIONS by Zhiyuan et al, ICLR 2020. The official code for proVLAE, implemented in ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback