We introduce an efficient optimization-based meta-learning technique for...
We introduce a modality-agnostic neural data compression algorithm based...
The idea of using a separately trained target model (or teacher) to impr...
In the deep learning era, long video generation of high-quality still re...
Implicit neural representations are a promising new avenue of representi...
Adversarial training (AT) is currently one of the most successful method...
Novelty detection, i.e., identifying whether a given sample is drawn fro...
Existing adversarial learning approaches mostly use class labels to gene...