Bias mitigation in image classification has been widely researched, and
...
The exploration of the latent space in StyleGANs and GAN inversion exemp...
Label-noise or curated unlabeled data is used to compensate for the
assu...
The exploration of the latent space in StyleGANs and GAN inversion exemp...
Humans possess the capacity to reason about the future based on a sparse...
Existing automatic story evaluation methods place a premium on story lex...
We introduce a challenging training scheme of conditional GANs, called
o...
Novel object captioning aims at describing objects absent from training ...
We push forward neural network compression research by exploiting a nove...
Style transfer is to render given image contents in given styles, and it...
Generating realistic images from text descriptions is a challenging prob...