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From Simple Innate Biases to Complex Visual Concepts
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Learning Data Representation: Hierarchies and Invariance
Shimon Ullman - Weizmann Institute of Science
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The Role of Mobility and Control in the Inference of Representations
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Learning Data Representation: Hierarchies and Invariance
Stefano Soatto - University of California, Los Angeles
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Learning Invariances and Hierarchies
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Learning Data Representation: Hierarchies and Invariance
Pierre Baldi - University of California, Irvine
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Going After Object Recognition Performance to Discover How the Ventral Stream Works
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Learning Data Representation: Hierarchies and Invariance
James DiCarlo - Massachusetts Institute of Technology
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M-theory
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Learning Data Representation: Hierarchies and Invariance
Tomaso Poggio - Massachusetts Institute of Technology
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Scattering Bricks to Build Invariants for Perception [part 1]
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Learning Data Representation: Hierarchies and Invariance
Stéphane Mallat - Ecole Normale Superieur
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Scattering Bricks to Build Invariants for Perception [part 2]
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Learning Data Representation: Hierarchies and Invariance
Stéphane Mallat - Ecole Normale Superieur
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Learning Invariant Feature Hierarchies
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Learning Data Representation: Hierarchies and Invariance
Yann LeCun - New York University
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Learning Data Representations: Hierarchies and Invariance
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Learning Data Representation: Hierarchies and Invariance
Joachim M. Buhmann - ETH Zurich
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Features and Representations
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Learning Data Representation: Hierarchies and Invariance
Misha Belkin - Ohio State University

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