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Towards Viewpoint Invariant 3D Human Pose Estimation

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Towards Viewpoint Invariant 3D Human Pose Estimation

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Optimization for Reinforcement Learning: From a single agent to cooperative agents

Crowding and the Architecture of the Visual System

On the Relationship between Self-Attention and Convolutional Layers

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

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

Comparing human and machine performances in transcribing 18th century handwritten Venetian script

Comparing human and machine performances in transcribing 18th century handwritten Venetian script

Novelty Detection in Convolutional Neural Networks Using Density Forests

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

An Investigation of Deep Neural Networks for Multilingual Speech Recognition Training and Adaptation

Crowding and the Architecture of the Visual System

On the Relationship between Self-Attention and Convolutional Layers

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

Comparing human and machine performances in transcribing 18th century handwritten Venetian script

Comparing human and machine performances in transcribing 18th century handwritten Venetian script

An Investigation of Deep Neural Networks for Multilingual Speech Recognition Training and Adaptation

Novelty Detection in Convolutional Neural Networks Using Density Forests

Optimization for Reinforcement Learning: From a single agent to cooperative agents

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

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