by Joerg Simon Wicker | Feb 25, 2021 | Adversarial Learning, News, Research
Kia Ora! I am Luke Chang and I am passionate about building more reliable machine learning models, an artificial intelligence people can trust. I started my machine learning journey by designing a transmission controller for an engine in my third-year undergraduate...
by Katharina Dost | Feb 18, 2021 | AI Reading Group, News
While methods for comparing two learning algorithms on a single data set have been scrutinized for quite some time already, the issue of statistical tests for comparisons of more algorithms on multiple data sets, which is even more essential to typical machine...
by Katharina Dost | Feb 2, 2021 | AI Reading Group, News
Lots of learning tasks require dealing with graph data which contains rich relation information among elements. Modeling physics system, learning molecular fingerprints, predicting protein interface, and classifying diseases require a model to learn from graph inputs....
by Joerg Simon Wicker | Jan 31, 2021 | News, Research
I am Beryl Qi and my research topic is ‘Knowledge-Driven Text Generation’. Natural language generation (NLG) is an important research direction in the field of natural language processing. This technology can be applied to various information processing tasks, such as...
by Joerg Simon Wicker | Jan 22, 2021 | News, PYR, Seminar
Provisional Year Review – Jonathan Kim – Towards Robust Semantic Scene Understanding through Joint Optimization of Visual SLAM and Deep Convolutional Neural Networks January 27, 2021 2:00 pm - 3:00 pm Provisional Year Seminar , Seminar Download iCal file...
by Joerg Simon Wicker | Jan 13, 2021 | Bias, News, Research
Kia Ora! I am Katharina Dost, a PhD student in my second year with the School of Computer Science. My research topic is “Identification and Mitigation of Selection Bias” and I would like to use this post to talk about my research and my experiences, so read on! Our...
