Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Saravanan, Akash"'
Autor:
Saravanan, Akash, Guzdial, Matthew
A metagame is a collection of knowledge that goes beyond the rules of a game. In competitive, team-based games like Pok\'emon or League of Legends, it refers to the set of current dominant characters and/or strategies within the player base. Develope
Externí odkaz:
http://arxiv.org/abs/2409.07340
As language models are increasingly included in human-facing machine learning tools, bias against demographic subgroups has gained attention. We propose FineDeb, a two-phase debiasing framework for language models that starts with contextual debiasin
Externí odkaz:
http://arxiv.org/abs/2302.02453
Autor:
Saravanan, Akash, Guzdial, Matthew
Machine learning has had a great deal of success in image processing. However, the focus of this work has largely been on realistic images, ignoring more niche art styles such as pixel art. Additionally, many traditional machine learning models that
Externí odkaz:
http://arxiv.org/abs/2203.12130
Facial expression recognition is a topic of great interest in most fields from artificial intelligence and gaming to marketing and healthcare. The goal of this paper is to classify images of human faces into one of seven basic emotions. A number of d
Externí odkaz:
http://arxiv.org/abs/1910.05602
Autor:
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c070c26bad7b1ed623d0399097d724a6
This book explores how to use generative adversarial networks in a variety of applications and emphasises their substantial advancements over traditional generative models. This book's major goal is to concentrate on cutting-edge research in deep lea