Estimating the structure of directed acyclic graphs (DAGs, also known as Bayesian networks) is a challenging problem since the search space of DAGs is combinatorial and scales super exponentially with the number of nodes. ...

Federated learning (FL) enables collaborative model training across distributed clients while preserving data privacy. However, the choice of optimizer on both the client and server sides significantly impacts training ...

We consider a generalization of the classical K-center problem with capacities, demands, and outliers. The capacitated K-center problem adds a constraint to the original K-center problem of every vertex having a capacity ...

Large Language Models (LLMs) have rapidly advanced their ability to answer questions and perform complex reasoning tasks. However, they often generate factual inaccuracies and hallucinations because they lack access or ...

Sel es have become a prominent medium for self-portrayal on social media. Unfortunately, certain social media users go to extreme lengths to click selfies , which puts their lives at risk. Two hundred and thirty-two ...

A large number of web applications are written using server-side scripting languages. Although web browsers allow clients to run these applications, it is often cumbersome to depend on the desktops for the services ...

A research paper is a document that presents an original work and introduces new concepts and makes interconnections between them via arguments and statements. Extreme Summarization involves high compression of the information ...

We combine domain-specific knowledge graphs with general knowledge graphs to enrich a language model. The objective of this semester was to implement baselines, test var- ious previous literature surveyed, and try to ...

This B.Tech project endeavors to advance mental health counseling through technology by introducing the IndieMH dataset, a curated collection of code-mixed Hindi-English counseling dialogues annotated with emotion labels ...