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VASC Seminar
Andrew Owens
Electrical Engineering & Computer Science , University of Michigan
Learning Visual, Audio, and Cross-Modal Correspondences
Abstract: Today's machine perception systems rely heavily on supervision provided by humans, such as labels and natural language. I will talk about our efforts to make systems that, instead, learn from two ubiquitous sources of unlabeled data: visual motion and cross-modal sensory associations. I will begin by discussing our work on creating unified models for […]
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VASC Seminar
Lachlan MacDonald
Australian Institute for Machine Learning, University of Adelaide
Towards a formal theory of deep optimisation
Abstract: Precise understanding of the training of deep neural networks is largely restricted to architectures such as MLPs and cost functions such as the square cost, which is insufficient to cover many practical settings. In this talk, I will argue for the necessity of a formal theory of deep optimisation. I will describe such a [...]
Andrew Owens
Assistant Professor
Electrical Engineering & Computer Science , University of Michigan
Maurice Fallon
Multi-Sensor Robot Navigation and Subterranean Exploration
Department of Engineering Science, Oxford University
Lachlan MacDonald
Postdoc
Australian Institute for Machine Learning, University of Adelaide