Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Tuli, Mathieu"'
When working with 3D facial data, improving fidelity and avoiding the uncanny valley effect is critically dependent on accurate 3D facial performance capture. Because such methods are expensive and due to the widespread availability of 2D videos, rec
Externí odkaz:
http://arxiv.org/abs/2404.09819
Autor:
Tuli, Mathieu, Li, Andrew C., Vaezipoor, Pashootan, Klassen, Toryn Q., Sanner, Scott, McIlraith, Sheila A.
Text-based games present a unique class of sequential decision making problem in which agents interact with a partially observable, simulated environment via actions and observations conveyed through natural language. Such observations typically incl
Externí odkaz:
http://arxiv.org/abs/2211.04591
Explaining the generalization characteristics of deep learning is an emerging topic in advanced machine learning. There are several unanswered questions about how learning under stochastic optimization really works and why certain strategies are bett
Externí odkaz:
http://arxiv.org/abs/2203.16723
The task of hyper-parameter optimization (HPO) is burdened with heavy computational costs due to the intractability of optimizing both a model's weights and its hyper-parameters simultaneously. In this work, we introduce a new class of HPO method and
Externí odkaz:
http://arxiv.org/abs/2111.14056
Autor:
Hosseini, Mahdi S., Zhang, Jia Shu, Liu, Zhe, Fu, Andre, Su, Jingxuan, Tuli, Mathieu, Hosseini, Sepehr, Kadakia, Arsh, Wang, Haoran, Plataniotis, Konstantinos N.
Neural Architecture Search (NAS) has shifted network design from using human intuition to leveraging search algorithms guided by evaluation metrics. We study channel size optimization in convolutional neural networks (CNN) and identify the role it pl
Externí odkaz:
http://arxiv.org/abs/2108.06822