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Yann LeCun's Home Page
Meta Chief AI Scientist Yann LeCun is blasting fellow AI luminaries for overselling AI's existential threat and asking for regulation (Ai Business, 10/2023) Why Meta’s Yann LeCun isn’t buying the AI doomer narrative (FastCompany, 05/2023)
Yann LeCun's Home Page
I-JEPA: The first AI model based on Yann LeCun’s vision for more human-like AI (2023-06-13) In which Mido Assran, Nicolas Ballas, Mike Rabbat and I describe a Self-Supervised Learning method for the Joint Embedding Predictive Architecture (JEPA) that learns good visual features for a variety of image understanding tasks.
THE MNIST DATABASE - Yann LeCun
The digit images in the MNIST set were originally selected and experimented with by Chris Burges and Corinna Cortes using bounding-box normalization and centering. Yann LeCun's version which is provided on this page uses centering by center of mass within in a larger window. Yann LeCun, Professor The Courant Institute of Mathematical Sciences
MNIST Demos on Yann LeCun's website
Y. LeCun and Y. Bengio. Convolutional networks for images, speech, and time-series. In M. A. Arbib, editor, The Handbook of Brain Theory and Neural Networks .
Yann LeCun's Home Page
Yann LeCun, Director of AI Research, Facebook Founding Director of the NYU Center for Data Science Silver Professor of Computer Science, Neural Science, and Electrical and Computer Engineering, The Courant Institute of Mathematical Sciences, Center for Neural Science, and Electrical and Computer Engineering Department, NYU School of Engineering
Yann LeCun's Home Page
Yann LeCun, VP and Chief AI Scientist, Facebook Silver Professor of Computer Science, Data Science, Neural Science, and Electrical and Computer Engineering, New York University .
Yann LeCun, Facebook AI Research and New York University Abstract Historically, progress in neural networks and deep learning research has been greatly influenced by the available hardware and software tools. This paper identifies trends in deep learning research that will influence hardware architectures and software platforms of the future.
Yann LeCun's Biography
Yann LeCun is Director of AI Research at Facebook and Silver Professor of Computer Science at the Courant Institute of Mathematical Sciences.
Scaling Learning Algorithms towards AI Yoshua Bengio (1) and Yann LeCun (2) (1) [email protected] D´epartement d’Informatique et Recherche Op ´erationnelle Universite de Montr´ eal,´ (2) [email protected] The Courant Institute of Mathematical Sciences, New York University, New York, NY To appear in “Large-Scale Kernel Machines”,
We propose training a convolutional neural network (LeCun et al., 1998) on pairs of small image patches where the true disparity is known (for example, obtained by LIDAR or structured light).