Standout Papers

Deep learning 1989 2026 2001 2013 45.1k
  1. Deep learning (2015)
    Yann LeCun, Yoshua Bengio et al. Nature
  2. Gradient-based learning applied to document recognition (1998)
    Yann LeCun, Léon Bottou et al. Proceedings of the IEEE
  3. Backpropagation Applied to Handwritten Zip Code Recognition (1989)
    Yann LeCun, Bernhard E. Boser et al. Neural Computation
  4. Dimensionality Reduction by Learning an Invariant Mapping (2006)
    Raia Hadsell, Sumit Chopra et al. SPIRE - Sciences Po Institutional REpository
  5. Handwritten Digit Recognition with a Back-Propagation Network (1989)
    Yann LeCun, Bernhard E. Boser et al. neural information processing systems
  6. Learning a Similarity Metric Discriminatively, with Application to Face Verification (2005)
    Sumit Chopra, Raia Hadsell et al. SPIRE - Sciences Po Institutional REpository
  7. Geometric Deep Learning: Going beyond Euclidean data (2017)
    Michael M. Bronstein, Joan Bruna et al. IEEE Signal Processing Magazine
  8. Learning Hierarchical Features for Scene Labeling (2012)
    Clément Farabet, Camille Couprie et al. IEEE Transactions on Pattern Analysis and Machine Intelligence
  9. Convolutional networks and applications in vision (2010)
    Yann LeCun, Koray Kavukcuoglu et al. SPIRE - Sciences Po Institutional REpository
  10. SIGNATURE VERIFICATION USING A “SIAMESE” TIME DELAY NEURAL NETWORK (1993)
    Jane Bromley, Léon Bottou et al. International Journal of Pattern Recognition and Artificial Intelligence
  11. What is the best multi-stage architecture for object recognition? (2009)
    Koray Kavukcuoglu, Yann LeCun et al. SPIRE - Sciences Po Institutional REpository
  12. Optimal Brain Damage (1989)
    Yann LeCun, John S. Denker et al. Neural Information Processing Systems
  13. Efficient BackProp (1998)
    Yann LeCun, Léon Bottou et al. Neural Information Processing Systems
  14. Learning Fast Approximations of Sparse Coding (2010)
    Karol Gregor, Yann LeCun International Conference on Machine Learning
  15. Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation (2014)
    Jonathan Tompson, Arjun Jain et al. arXiv (Cornell University)
  16. Real-Time Continuous Pose Recovery of Human Hands Using Convolutional Networks (2014)
    Jonathan Tompson, Yann LeCun et al. ACM Transactions on Graphics
  17. Deep learning for AI (2021)
    Yoshua Bengio, Yann LeCun et al. Communications of the ACM
  18. Deep learning, reinforcement learning, and world models (2022)
    Yutaka Matsuo, Yann LeCun et al. Neural Networks
  19. MDETR - Modulated Detection for End-to-End Multi-Modal Understanding (2021)
    Aishwarya Kamath, Mannat Singh et al. 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Immediate Impact

48 by Nobel laureates 55 from Science/Nature 228 standout
Sub-graph 1 of 12

Citing Papers

Dense reinforcement learning for safety validation of autonomous vehicles
2023 StandoutNature
Accurate medium-range global weather forecasting with 3D neural networks
2023 StandoutNature
19 intermediate papers

Works of Yann LeCun being referenced

Deep learning
2015 StandoutNatureNobel
What is the best multi-stage architecture for object recognition?
2009 Standout
and 16 more

Author Peers

Author Last Decade Papers Cites
Yann LeCun 28495 32356 5620 10338 101 94.7k
Vladimir Vapnik 23069 36800 7428 7716 69 107.3k
Yoshua Bengio 36948 48245 8656 13039 298 127.8k
Xiangyu Zhang 55758 32544 5631 6511 121 107.1k
Jian Sun 50466 30878 5286 6039 46 98.5k
Ilya Sutskever 23870 26901 4338 5752 33 68.3k
Leo Breiman 10635 33402 5237 6042 91 136.3k
Jürgen Schmidhuber 13630 27051 6537 10702 160 72.7k
Jerome H. Friedman 9799 27492 5071 4611 126 121.1k
Geoffrey E. Hinton 53749 68735 15527 17348 197 191.0k
Andrew Zisserman 48425 17829 3928 3635 245 73.1k

All Works

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2026