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Fall 2024

Sumner, Megan J.

Video game development is a highly technical practice that traditionally requires programming skills. This serves as a barrier to entry for would-be developers or those hoping to use games as part of their creative expression. While there have been prior game development tools focused on...

Fall 2024

Banerjee, Arghasree

Artificial neural networks have become a popular learning approach for theirability to generalize well to unseen data. However, misclassifications can still occur due to various data-related issues, such as adversarial inputs, out-of-distribution samples, and model-related challenges, such as...

Fall 2024

Gaafar, Moemen K

This thesis addresses the task of few-shot style-conditioned text generation using large language models (LLMs). We propose a novel, model-agnostic approach for adapting LLMs to arbitrary styles using a few text samples from a certain author. Instead of using pre-defined features, our method...

Fall 2023

Vaid, Samridhi

Deep learning has had much success on challenging problems with large datasets. However, it struggles in cases with limited training data. Transfer learning represents a class of approaches for transferring knowledge from large source datasets to smaller target datasets. But many transfer...

Fall 2021

Mahajan, Anmol

This thesis presents a novel approach towards modelling individual human behaviour on tasks with insufficient data via transfer learning. In most cases, deep neural networks (DNNs) require a great deal of data to train and adapt towards a particular problem. But there exist different tasks in...

Fall 2023

Singamsetti, Mohan Sai

Deep learning approaches have had success in many domains recently, particularly in domains with large amounts of training data. However, there are domains without a sufficient quantity of training data, or where the training data present is of insufficient quality. Transfer learning approaches...

Fall 2023

Doosti Sanjani, Anahita

The increasing popularity of Deep Neural Networks (DNN) has led to their application to many domains, including Music Generation. However, these large DNN-based models are heavily dependent on their training dataset, which means they perform poorly on musical genres that are out-of-distribution...

Spring 2023

Saravanan, Akash

Many competitive online video games release new characters on a regular basis. Designing these characters requires significant effort on several aspects including art, story, music, and game balance. Thus automating the design of these aspects offers value in saving human effort. This thesis...