IC Colloquium: Learning to reason over vision and language
By: Damien Teney - Idiap Research Institute
Video of his talk
Abstract
In this talk, he will present some activities of his group at the intersection of computer vision and natural language processing. We will see 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 explored in his group that aim 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.
Bio
Damien Teney recently joined the Idiap Research Institute in Martigny as the head of the machine learning group.
Dr. Teney 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.
More information
Video of his talk
Abstract
In this talk, he will present some activities of his group at the intersection of computer vision and natural language processing. We will see 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 explored in his group that aim 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.
Bio
Damien Teney recently joined the Idiap Research Institute in Martigny as the head of the machine learning group.
Dr. Teney 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.
More information
Practical information
- General public
- Free
Contact
- Host: Bob West