Boolean satisfiability (SAT) is a fundamental NP-complete problem with m...
Rapidly increasing quality of AI-generated content makes it difficult to...
We consider the clone detection and information retrieval problems for s...
Code search is an important task that has seen many developments in rece...
Current metric learning approaches for image retrieval are usually based...
We apply topological data analysis (TDA) to speech classification proble...
Social media marketing plays a vital role in promoting brand and product...
State of the art neural methods for open information extraction (OpenIE)...
In this work, we explore the constructive side of online reviews: advice...
Deep learning architectures based on self-attention have recently achiev...
The Russian Drug Reaction Corpus (RuDReC) is a new partially annotated c...
Modeling daytime changes in high resolution photographs, e.g., re-render...
We introduce an entity-centric search engineCommentsRadarthatpairs entit...
We propose a new approach to visualize saliency maps for deep neural net...
Breast cancer is one of the main causes of death worldwide. Histopatholo...
Deep generative models such as generative adversarial networks, variatio...
In this work, we consider the medical concept normalization problem, i.e...