Embedded thumbnail for Compositional Models: Complexity of Representation and Interference
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Learning Data Representation: Hierarchies and Invariance
Alan Yuille - University of California, Los Angeles
Embedded thumbnail for Panel Discussion: Beyond Feedforward Architectures
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Learning Data Representation: Hierarchies and Invariance
Moderator: Josh Tenenbaum Panelists: Russ Salakhutdinov
Stefano Soatto
Shimon Ullman
Alan Yuille
Embedded thumbnail for From Simple Innate Biases to Complex Visual Concepts
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Learning Data Representation: Hierarchies and Invariance
Shimon Ullman - Weizmann Institute of Science
Embedded thumbnail for 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
Embedded thumbnail for Learning Invariances and Hierarchies
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Learning Data Representation: Hierarchies and Invariance
Pierre Baldi - University of California, Irvine
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Learning Data Representation: Hierarchies and Invariance
Tomaso Poggio - Massachusetts Institute of Technology
Embedded thumbnail for Going After Object Recognition Performance to Discover How the Ventral Stream Works
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March 25, 2016
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Learning Data Representation: Hierarchies and Invariance
James DiCarlo - Massachusetts Institute of Technology
Embedded thumbnail for Scattering Bricks to Build Invariants for Perception [part 1]
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Learning Data Representation: Hierarchies and Invariance
Stéphane Mallat - Ecole Normale Superieur
Embedded thumbnail for 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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Yann LeCun - New York University

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