Information Dropout: Learning Optimal Representations Through Noisy Computation von Achille, Alessandro, Soatto, Stefano

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Quick Shift and Kernel Methods for Mode Seeking von Vedaldi, Andrea, Soatto, Stefano

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Tracklet Descriptors for Action Modeling and Video Analysis von Raptis, Michalis, Soatto, Stefano

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A Geometric Interpretation of Stochastic Gradient Descent Using Diffusion Metrics von Fioresi, Rita, Chaudhari, Pratik, Soatto, Stefano

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Redundant Information Neural Estimation von Kleinman, Michael, Achille, Alessandro, Soatto, Stefano, Kao, Jonathan C.

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Hybrid Dynamical Models of Human Motion for the Recognition of Human Gaits von Bissacco, Alessandro, Soatto, Stefano

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Proximity Distribution Kernels for Geometric Context in Category Recognition von Haibin Ling, Soatto, S.

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Adaptive Regularization With the Structure Tensor von Estellers, Virginia, Soatto, Stefano, Bresson, Xavier

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Visual-inertial navigation, mapping and localization: A scalable real-time causal approach von Jones, Eagle S., Soatto, Stefano

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3-D Reconstruction of Shaded Objects from Multiple Images Under Unknown Illumination von Jin, Hailin, Cremers, Daniel, Wang, Dejun, Prados, Emmanuel, Yezzi, Anthony, Soatto, Stefano

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Entropy-SGD: biasing gradient descent into wide valleys von Chaudhari, Pratik, Choromanska, Anna, Soatto, Stefano, LeCun, Yann, Baldassi, Carlo, Borgs, Christian, Chayes, Jennifer, Sagun, Levent, Zecchina, Riccardo

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Sparse Occlusion Detection with Optical Flow von Ayvaci, Alper, Raptis, Michalis, Soatto, Stefano

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Learning Topology From Synthetic Data for Unsupervised Depth Completion von Wong, Alex, Cicek, Safa, Soatto, Stefano

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AI model disgorgement: Methods and choices von Achille, Alessandro, Kearns, Michael, Klingenberg, Carson, Soatto, Stefano

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Class segmentation and object localization with superpixel neighborhoods von Fulkerson, Brian, Vedaldi, Andrea, Soatto, Stefano

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Detachable Object Detection: Segmentation and Depth Ordering from Short-Baseline Video von Ayvaci, Alper, Soatto, Stefano

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Deep relaxation: partial differential equations for optimizing deep neural networks von Chaudhari, Pratik, Oberman, Adam, Osher, Stanley, Soatto, Stefano, Carlier, Guillaume

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Unsupervised Depth Completion From Visual Inertial Odometry von Wong, Alex, Fei, Xiaohan, Tsuei, Stephanie, Soatto, Stefano

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Forgetting Outside the Box: Scrubbing Deep Networks of Information Accessible from Input-Output Observations von Golatkar, Aditya, Achille, Alessandro, Soatto, Stefano

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Stochastic batch size for adaptive regularization in deep network optimization von Nakamura, Kensuke, Soatto, Stefano, Hong, Byung-Woo

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