Robustness in Natural Language Processing continues to be a pertinent is...
Following the success of Word2Vec embeddings, graph embeddings (GEs) hav...
The rise of artificial intelligence (AI) has led to various means of
int...
The recent advances in deep-learning have led to the development of high...
Human perception of surroundings is often guided by the various poses pr...
Combating disinformation is one of the burning societal crises – about 6...
Word embeddings, i.e., semantically meaningful vector representation of
...
Over the past decade, analogies, in the form of word-level analogies, ha...
Automatic fact verification has received significant attention recently....
While few-shot learning as a transfer learning paradigm has gained
signi...
We present a facial emotion recognition framework, built upon Swin visio...
This paper explores the possibility of using visual object detection
tec...
Causality knowledge is vital to building robust AI systems. Deep learnin...
Recently, learning-based models have enhanced the performance of single-...
The aim of a Content-Based Image Retrieval (CBIR) system, also known as ...
In the domain of Biometrics, recognition systems based on iris, fingerpr...
Biometric authentication systems that make use of signature verification...