With recent advancements in AI algorithms, data processing for AI applications is primarily done in a cloud-based data center with deep-learning models that require massive computing capacity. The decision-making process ...

Explanation of predictions made by black-box deep learning models has been rather challenging, especially when neither the model details nor its training data are known. Various techniques based on shadow-model have been ...

There are concerns that the ability of language models (LMs) to generate high quality synthetic text can be misused to launch spam, dis-information, or propaganda. Therefore, the re-search community is actively working on ...

In machine learning, disentangling factors of variation lead to robust latent space representations and improve the efficacy of various downstream tasks like classification, prediction etc. Disentangling representations ...

In Semantic Web languages, such as RDF and OWL, a binary relation is represented by the property, which links two entities or Individuals. Binary relations cannot be used to capture the relation between more than two ...

Keyphrase extraction is the task of automatically extracting a set of phrases from a document that represents the overall context of the given document. Such keyphrases can be used in multiple ways in Information retrieval, ...

Argument mining is a rising research area in natural language processing, the goal of which is to extract argumentative structures from natural language texts. Such components contain a lot of information not only limited ...

Data is expanding at an unimaginable rate, and with this development comes the responsibility of the quality of data. Data Quality refers to the relevance of the information present and helps in various operations like ...

Academic work that looks at designing for queer populations has gained traction in the HCI community over the years but most of it is predominantly based in the Global North. This project responds to the call for work ...

Complex networks have been studied and modeled extensively due to their relevance in various real-world systems such as the world-wide-web, telecommunication network and a variety of social networks. A large number of ...