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20112023
most citedLearning with a Wasserstein Loss

355 citations · 1.6k across the 54 of their papers we have counts for

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Showing 2014Show all

5 papers · 1 filter

cs.CV2014★ 4 cited

Unsupervised learning of clutter-resistant visual representations from natural videos

Qianli Liao, Joel Z. Leibo, Tomaso Poggio

Populations of neurons in inferotemporal cortex (IT) maintain an explicit code for object identity that also tolerates transformations of object appearance e.g., position, scale, v…

cs.SD2014★ 2 cited

Learning An Invariant Speech Representation

Georgios Evangelopoulos, Stephen Voinea, Chiyuan Zhang +2

Recognition of speech, and in particular the ability to generalize and learn from small sets of labelled examples like humans do, depends on an appropriate representation of the ac…

cs.AI2014★ 2 cited

Neural tuning size is a key factor underlying holistic face processing

Cheston Tan, Tomaso Poggio

Faces are a class of visual stimuli with unique significance, for a variety of reasons. They are ubiquitous throughout the course of a person's life, and face recognition is crucia…

cs.LG2014★ 13 cited

Computational role of eccentricity dependent cortical magnification

Tomaso Poggio, Jim Mutch, Leyla Isik

We develop a sampling extension of M-theory focused on invariance to scale and translation. Quite surprisingly, the theory predicts an architecture of early vision with increasing…

cs.SD2014★ 24 cited

A Deep Representation for Invariance And Music Classification

Chiyuan Zhang, Georgios Evangelopoulos, Stephen Voinea +2

Representations in the auditory cortex might be based on mechanisms similar to the visual ventral stream; modules for building invariance to transformations and multiple layers for…