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Found 5 papers, 1 papers with code
Targeted Image Data Augmentation Increases Basic Skills Captioning Robustness
Artificial neural networks typically struggle in generalizing to out-of-context examples.
Studying Generalization on Memory-Based Methods in Continual Learning
One of the objectives of Continual Learning is to learn new concepts continually over a stream of experiences and at the same time avoid catastrophic forgetting.
DACT-BERT: Increasing the efficiency and interpretability of BERT by using adaptive computation time.
DACT-BERT adds an adaptive computation mechanism to the regular processing pipeline of BERT.
CuratorNet: Visually-aware Recommendation of Art Images
Although there are several visually-aware recommendation models in domains like fashion or even movies, the art domain lacks thesame level of research attention, despite the recent growth of the online artwork market.
Do Better ImageNet Models Transfer Better... for Image Recommendation?
Our results indicate that models with better performance in the ImageNet challenge do not always imply better transfer learning for recommendation tasks (e. g. NASNet vs. ResNet).
