Autoregressive transformers have shown remarkable success in video
gener...
Despite recent advances in implicit neural representations (INRs), it re...
Although autoregressive models have achieved promising results on image
...
For autoregressive (AR) modeling of high-resolution images, vector
quant...
Large-batch training has been essential in leveraging large-scale datase...
We design and implement a ready-to-use library in PyTorch for performing...
Conditional generative adversarial networks (cGANs) have gained a
consid...
In this paper, a neural architecture search (NAS) framework is proposed ...
Data augmentation is an indispensable technique to improve generalizatio...
We study the problem of community detection in a random hypergraph model...