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Generative Adversarial Collaborations: A practical guide for conference organizers and participating scientists
Generative adversarial collaborations (GACs) are a form of formal teamwork between groups of scientists with diverging views.
How does the primate brain combine generative and discriminative computations in vision?
The alternative conception is that of vision as an inference process in Helmholtz's sense, where the sensory evidence is evaluated in the context of a generative model of the causal processes giving rise to it.
Capturing the objects of vision with neural networks
Deep neural network (DNN) models of visual object recognition, by contrast, remain largely tethered to the sensory input, despite achieving human-level performance at labeling objects.
Evidence against implicitly recurrent computations in residual neural networks
To test this hypothesis, we manipulate the degree of weight sharing across layers in ResNets using soft gradient coupling.
A neural network walks into a lab: towards using deep nets as models for human behavior
What might sound like the beginning of a joke has become an attractive prospect for many cognitive scientists: the use of deep neural network models (DNNs) as models of human behavior in perceptual and cognitive tasks.
