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Yoshua Bengio

What Yoshua Bengio thinks about computer vision

@yoshua-bengio · 12 positions · 1 change of mind

Deep-learning researcher and Turing Award laureate; founder of the Mila institute.

Everything they publish, on ppll ↗

Yoshua Bengio did not write this page.

We collected these quotes from things they published elsewhere, and every quote links to where it was said. They have no account here and have not endorsed this site. Quotes are word for word; the short line under each one is our own restatement, not their wording. Their own site. Is this you? Claim it or ask us to remove it. Or tell us what is wrong here.

2 dated positions, 1998, in their own words. Our reading of what Yoshua Bengio has said — not written or endorsed by them.

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  1. Given an appropriate network architecture, gradient-based learning algorithms can be used to synthesize a complex decision surface that can classify high-dimensional patterns, such as handwritten characters, with minimal preprocessing.

    Gradient-based learning applied to document recognition (with 3 co-authors)doi.org 2nd of 4 in this piece

  2. A new learning paradigm, called graph transformer networks (GTN), allows such multimodule systems to be trained globally using gradient-based methods so as to minimize an overall performance measure.

    Gradient-based learning applied to document recognition (with 3 co-authors)doi.org 4th of 4 in this piece