Y. Le Cun

5.2k citations

38 papers · 2.9k indexed · 2 hit papers · h-index 20

Impact in

Computer Vision and Pattern Recognition top 0.5%
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Handwritten Text Recognition Techniques
- Face and Expression Recognition
- Image Retrieval and Classification Techniques
Artificial Intelligence top 0.5%
- Neural Networks and Applications
- Domain Adaptation and Few-Shot Learning
- Anomaly Detection Techniques and Applications

Papers in

Signal Processing 10
- Blind Source Separation Techniques 5
- Music and Audio Processing 4
Computer Vision and Pattern Recognition 17
- Handwritten Text Recognition Techniques 9
- Image Processing and 3D Reconstruction 3

Co-authors: Y-Lan Boureau Marc’Aurelio Ranzato Léon Bottou Esther Levin Vladimir Vapnik J. S. Denker Harris Drucker W. Hubbard
Journals: IEEE Journal of Solid-State Circuits (1 paper)Neural Networks (1 paper)Physical Review Letters (1 paper)Pattern Recognition (1 paper)Computer (1 paper)
Partner nations: United States Germany France

In The Last Decade

Y. Le Cun

38 papers receiving 2.7k citations

Hit Papers

align trajectories log scale

Learning Convolutional Feature Hierarchies for Visual Recognition 2010 · 328 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2010 Neural Information Processing Systems
2007 Neural Information Processing Systems

Peers

Countries citing papers authored by Y. Le Cun

Since Specialization

Citations

This map shows the geographic impact of Y. Le Cun's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Y. Le Cun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Y. Le Cun more than expected).

Fields of papers citing papers by Y. Le Cun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Y. Le Cun. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Y. Le Cun. The network helps show where Y. Le Cun may publish in the future.

Co-authors

The 25 scholars most cited alongside Y. Le Cun, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Y. Le Cun Line = papers co-authored together Y. Le Cun links everyone, so they are left out of the graph.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work
1	Structured sparse coding via lateral inhibition Neural Information Processing Systems ·Arthur Szlam, Karol Gregor, Y. Le Cun	2011	32
2	Regularized estimation of image statistics by Score Matching Neural Information Processing Systems ·Diederik P. Kingma, Y. Le Cun	2010	17
3	Learning Convolutional Feature Hierarchies for Visual Recognition Neural Information Processing Systems ·Koray Kavukcuoglu, Pierre Sermanet, Y-Lan Boureau, Karol Gregor, Michaël Mathieu, Y. Le Cun Hit paper breakdown →	2010	328
4	Sparse Feature Learning for Deep Belief Networks Neural Information Processing Systems ·Marc’Aurelio Ranzato, Y-Lan Boureau, Y. Le Cun Hit paper breakdown →	2007	457
5	Off-Road Obstacle Avoidance through End-to-End Learning Neural Information Processing Systems ·Urs Müller, Jan Ben, Eric Cosatto, Beat Flepp, Y. Le Cun	2005	287
6	Real Time Voice Processing with Audiovisual Feedback: Toward Autonomous Agents with Perfect Pitch ScholarlyCommons (University of Pennsylvania) ·Lawrence K. Saul, Daniel D. Lee, Charles L. Isbell, Y. Le Cun	2002	15
7	Double backpropagation increasing generalization performance Harris Drucker, Y. Le Cun	2002	17
8	Optical character recognition: a technology driver for neural networks Richard Howard, Bernhard E. Boser, J. S. Denker, Hans Peter Graf, D. Henderson, W. Hubbard, L. D. Jackel, Y. Le Cun, Henry S. Baird	2002	3
9	Browsing through high quality document images with DjVu Patrick Haffner, Léon Bottou, P.G. Howard, P. Simard, Yoshua Bengio, Y. Le Cun	2002	7
10	Memory-based character recognition using a transformation invariant metric P. Simard, Y. Le Cun, J. S. Denker	2002	10
11	Word normalization for online handwritten word recognition Yoshua Bengio, Y. Le Cun	2002	14
12	Reading checks with multilayer graph transformer networks Y. Le Cun, Léon Bottou, Yoshua Bengio	2002	32
13	An original approach for the localization of objects in images Régis Vaillant, C. Monrocq, Y. Le Cun	1993	23
14	Improving generalization performance using double backpropagation IEEE Transactions on Neural Networks ·Harris Drucker, Y. Le Cun	1992	135
15	Reverse TDNN: An Architecture For Trajectory Generation Neural Information Processing Systems ·Patrice Simard, Y. Le Cun	1991	15
16	Design of a neural network character recognizer for a touch terminal Pattern Recognition ·Isabelle Guyon, Pedro Albrecht, Y. Le Cun, J. S. Denker, W. Hubbard	1991	117
17	GEMINI: Gradient Estimation Through Matrix Inversion After Noise Injection Neural Information Processing Systems ·Y. Le Cun, Conrad C. Galland, Geoffrey E. Hinton	1988	19
18	Using curvature information to improve back-propagation Neural Networks ·Y. Le Cun	1988	1
19	Automata networks and artificial intelligence Frontiers in Public Health ·Francois Fogleman Soulié, Patrick Gallinari, Y. Le Cun, Sylvie Thiria	1987	19
20	Modèles connexionnistes de l'apprentissage Intellectica Revue de l Association pour la Recherche Cognitive ·Y. Le Cun, Françoise Fogelman‐Soulié	1987	88

About Y. Le Cun

Y. Le Cun is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Artificial Intelligence, Human-Computer Interaction and Media Technology, having authored 38 papers that have together received 2.9k indexed citations. Recurring topics across this work include Neural Networks and Applications (14 papers), Handwritten Text Recognition Techniques (9 papers), Blind Source Separation Techniques (5 papers), Natural Language Processing Techniques (4 papers), Music and Audio Processing (4 papers), Image Processing and 3D Reconstruction (3 papers), Neural Networks and Reservoir Computing (3 papers) and Text and Document Classification Technologies (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.4k citations), Artificial Intelligence (1.4k citations), Signal Processing (297 citations), Media Technology (201 citations) and Automotive Engineering (150 citations). Y. Le Cun has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Y-Lan Boureau, Marc’Aurelio Ranzato, Léon Bottou, Esther Levin, Vladimir Vapnik, J. S. Denker, Harris Drucker, W. Hubbard, Bernhard E. Boser and Karol Gregor. Their work appears in journals such as IEEE Journal of Solid-State Circuits, Neural Networks, Physical Review Letters, Pattern Recognition and Computer.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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