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Deep Visual Re-Identification with Confidence

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Deep Visual Re-Identification with Confidence

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Learning stereo reconstruction with deep neural networks

Biologically plausible deep learning – but how far can we go with shallow networks?

Learning embeddings: efficient algorithms and applications

Jamming transition as a paradigm to understand the loss landscape of deep neural networks

Deep Learning Works in Practice. But Does it Work in Theory?

Statistically-Motivated Second-order Pooling

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A Deep Learning Approach to Ultrasound Image Recovery

Towards goal-driven deep neural network models to elucidate human arm proprioception