- January2711 am - 12 pm
Co-hosted by UT Good Systems, Forum for Artificial Intelligence, and IFML
- February312:15 - 1 pm
Abstract: Graph neural networks (GNNs) are successful at learning representations from most types of network data but suffer from limitations...
- February1012:15 - 1 pm
Abstract: The activation function deployed in a deep neural network has great influence on the performance of the network at...
- January26All day
The University of Texas at Austin is launching a new online master’s program in AI with the potential to bring...
- January2012 - 1 pm
Abstract: Sparsity has widely shown its versatility in model compression, robustness improvement, and overfitting mitigation by selectively masking out a...
- November163 - 5 pm
Join us for the 2022 Machine Learning Lab Public Lecture with Alan Bovik!
- November101 - 1:45pm
Abstract: This talk will first motivate and illustrate the use of margins as a way to interpret and analyze the...
- November412:15 - 1 pm
A central problem in machine learning is as follows: How should we train models using data generated from a collection...
- October2812:15 - 1 pm
Abstract: Although Machine learning (ML) algorithms have recently made a huge impact on medical imaging, their development and deployment for...