Roger Grosse

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  • A ground-truth dataset and baseline evaluations for intrinsic image algorithms, Roger Grosse, Micah K. Johnson, Edward Adelson, and William T. Freeman, International Conference on Computer Vision, 2009.
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  • Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations, Honglak Lee, Roger Grosse, Rajesh Ranganath, and Andrew Y. Ng, International Conference on Machine Learning, 2009. Best Application Paper
  • Shift-invariant sparse coding for audio classification, Roger Grosse, Rajat Raina, Helen Kwong, and Andrew Y. Ng, Conference on Uncertainty in Artificial Intelligence, 2007
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