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Found 5 papers, 0 papers with code
Memory-Augmented Generative Adversarial Transformers
Conversational AI systems that rely on Large Language Models, like Transformers, have difficulty interweaving external data (like facts) with the language they generate.
Gender prediction using limited Twitter Data
These results show that even with relatively small amounts of data, BERT can be fine-tuned to accurately help predict the gender of Twitter users, and, consequently, that it is possible to determine gender on the basis of just a low volume of tweets.
Adversarial Patch Camouflage against Aerial Detection
The traditional way of hiding military assets from sight is camouflage, for example by using camouflage nets.
Robustness Verification for Classifier Ensembles
The robustness-checking problem consists of assessing, given a set of classifiers and a labelled data set, whether there exists a randomized attack that induces a certain expected loss against all classifiers.
Using Neural Transfer Learning for Morpho-syntactic Tagging of South-Slavic Languages Tweets
In this paper, we describe a morpho-syntactic tagger of tweets, an important component of the CEA List DeepLIMA tool which is a multilingual text analysis platform based on deep learning.
