This is a decommissioned version of ERA which is running to enable completion of migration processes. All new collections and items and all edits to existing items should go to our new ERA instance at https://ualberta.scholaris.ca - Please contact us at erahelp@ualberta.ca for assistance!
Search
Skip to Search Results- 2Abdi Oskouie, Mina
- 2Birkbeck, Neil Aylon Charles
- 2Cai, Zhipeng
- 2Chen, Jiyang
- 2Chowdhury, Md Solimul
- 2Chubak, Pirooz
- 83Machine Learning
- 76Reinforcement Learning
- 42Artificial Intelligence
- 37Machine learning
- 24Natural Language Processing
- 23reinforcement learning
-
Fall 2024
Heuristic functions substantially influence heuristic search performance. Recent work used program synthesis to produce high-performance formula-based heuristics, offering a promise of human explanability. In this thesis we investigate the promise and present a tool to improve a given heuristic...
-
Fall 2024
Social platforms are the mirror of our society’s values, beliefs, and activities and have become the subject of study of many disciplines; researchers often study the themes and sentiments of social-platform discussions and attempt to understand how the various aspects of these discussions...
-
Fall 2024
Large Language Models (LLMs), including Vision Large Language Models (VLLMs), herald the coming of a new research epoch in machine learning and computational linguistics. Despite most LLMs being predominantly trained on English, their proficiency in various languages has been confirmed by many...
-
PU-Ray: Domain-Independent Point Cloud Upsampling via Ray Marching on Neural Implicit Surface
DownloadFall 2024
While recent advancements in deep-learning point cloud upsampling methods have improved the input to intelligent transportation systems, they still suffer from issues of domain dependency between synthetic and real-scanned point clouds. This thesis addresses the above issues by proposing a new...
-
Fall 2024
Software libraries often provide documentation to describe the Application Programming Interfaces (APIs) they offer. Such API documentation helps potential users understand how to use the library. Studies have shown that having code examples is one of the key criteria of good software...
-
Fall 2024
Procedural content generation (PCG) algorithms have been utilized for automating the creation of game content such as levels, assets, and narratives. One specific type, Exhaustive PCG (EPCG), systematically generates all possible variations of content before selecting the best, embodying a form...
-
Fall 2024
Computer vision tasks have seen breakthroughs in recent years thanks to the emergence of deep learning (DL). However, there exists different types of domain-shift problems that may impact the performance of DL-based methods. In low-level vision tasks, \eg, image restoration, the degradation of...
-
Fall 2024
In this thesis we consider the point to point orienteering and deadline traveling salesman problems on graphs with bounded treewidth and graphs with consant doubling dimension and present approximation schemes for them. These are extensions of the classic Traveling Salesman Problem (TSP). Suppose...
-
Fall 2024
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...
-
Budgeted Gradient Descent: Selective Gradient Optimization for Addressing Misclassifications in DNNs
DownloadFall 2024
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...