412 citations · 919 across the 20 of their papers we have counts for
5 papers · 1 filter
Frivolous Units: Wider Networks Are Not Really That Wide
Stephen Casper, Xavier Boix, Vanessa D'Amario +4
A remarkable characteristic of overparameterized deep neural networks (DNNs) is that their accuracy does not degrade when the network's width is increased. Recent evidence suggests…
Putting visual object recognition in context
Mengmi Zhang, Claire Tseng, Gabriel Kreiman
Context plays an important role in visual recognition. Recent studies have shown that visual recognition networks can be fooled by placing objects in inconsistent contexts (e.g., a…
Variational Prototype Replays for Continual Learning
Mengmi Zhang, Tao Wang, Joo Hwee Lim +2
Continual learning refers to the ability to acquire and transfer knowledge without catastrophically forgetting what was previously learned. In this work, we consider \emph{few-shot…
Gradient-free activation maximization for identifying effective stimuli
Will Xiao, Gabriel Kreiman
A fundamental question for understanding brain function is what types of stimuli drive neurons to fire. In visual neuroscience, this question has also been posted as characterizing…
Lift-the-flap: what, where and when for context reasoning
Mengmi Zhang, Claire Tseng, Karla Montejo +2
Context reasoning is critical in a wide variety of applications where current inputs need to be interpreted in the light of previous experience and knowledge. Both spatial and temp…