Dr. Damien Teney, head of the machine learning group at the Idiap Research Institute in Martigny, will present some activities of his group at the intersection of computer vision and natural language processing. The seminar on Zoom can be accessed without prior registration.
Meeting ID: 698 9229 8976
Dr. Teney’ talk will demonstrate how tasks such as image captioning and visual question answering can serve as testbeds for complex reasoning, out-of-distribution generalization, and robustness to distribution shifts. He will present various approaches to expand the limits of statistical machine learning, such as causal reasoning and meta learning. The aim of his work is to go beyond the classical i.i.d. setting, learn models that generalize out-of-distribution, and increase their robustness to the distribution shifts encountered in the real world.
Damien Teney recently joined the Idiap Research Institute in Martigny as the head of the machine learning group. He was previously a research scientist at the Australian Institute for Machine Learning at the University of Adelaide. He has also been affiliated with Carnegie Mellon University, the University of Bath, the University of Innsbruck, and the University of Liege in Belgium, where he is originally from.