LeCun, Yann

Classification of patterns of EEG synchronization for seizure prediction

Mirowski, P., Madhavan, D., LeCun, Y., & Kuzniecky, R. (2009) · Clinical Neurophysiology

EEG and Brain-Computer InterfacesEpilepsy research and treatment

Cited by 380

NeuFlow: A runtime reconfigurable dataflow processor for vision

Farabet, C., Martini, B., Corda, B., Akselrod, P., Culurciello, E., & LeCun, Y. (2011) · CVPR 2011 WORKSHOPS

Embedded Systems Design TechniquesAdvanced Neural Network Applications

Cited by 369

CNP: An FPGA-based processor for Convolutional Networks

Farabet, C., Poulet, C., Han, J. Y., & LeCun, Y. (2009) · 2009 International Conference on Field Programmable Logic and Applications

Advanced Neural Network ApplicationsEmbedded Systems Design Techniques

Cited by 367

Boosting and Other Ensemble Methods

Drucker, H., Cortes, C., Jackel, L. D., LeCun, Y., & Vapnik, V. (1994) · Neural Computation

Neural Networks and ApplicationsMachine Learning and Algorithms

Cited by 357

Fast Training of Convolutional Networks through FFTs

Mathieu, M., Henaff, M., & LeCun, Y. (2013) · arXiv

Advanced Neural Network ApplicationsParallel Computing and Optimization Techniques

Cited by 273

Fast Convolutional Nets With fbfft: A GPU Performance Evaluation

Vasilache, N., Johnson, J., Mathieu, M., Chintala, S., Piantino, S., & LeCun, Y. (2014) · arXiv

Parallel Computing and Optimization TechniquesAdvanced Neural Network Applications

Cited by 246

Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs

Tong, S., Liu, Z., Zhai, Y., Ma, Y., LeCun, Y., & Xie, S. (2024) · arXiv

Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 190

Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs

Tong, S., Liu, Z., Zhai, Y., Ma, Y., LeCun, Y., & Xie, S. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 189

The Mind of a Mouse

Abbott, L. F., Bock, D. D., Callaway, E. M., Denk, W., Dulac, C., Fairhall, A. L., Fiete, I., Harris, K. M., Helmstaedter, M., Jain, V., et al. (2020) · Cell

Functional Brain Connectivity StudiesNeuroscience and Neuropharmacology Research

Cited by 172

Augmented Language Models: a Survey

Mialon, G., Dessì, R., Lomeli, M., Nalmpantis, C., Pasunuru, R., Raileanu, R., Rozière, B., Schick, T., Dwivedi-Yu, J., Celikyilmaz, A., et al. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 160

MoDeep: A Deep Learning Framework Using Motion Features for Human Pose Estimation

Jain, A., Tompson, J., LeCun, Y., & Bregler, C. (2015) · Lecture Notes in Computer Science

Human Pose and Action RecognitionVideo Surveillance and Tracking Methods

Cited by 142

G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering

He, X., Tian, Y., Sun, Y., Chawla, N. V., Laurent, T., LeCun, Y., Bresson, X., & Hooi, B. (2024) · arXiv

Topic ModelingAdvanced Graph Neural Networks

Cited by 122

Transformer visualization via dictionary learning: contextualized embedding as a linear superposition of transformer factors

Yun, Z., Chen, Y., Olshausen, B., & LeCun, Y. (2021) · Proceedings of Deep Learning Inside Out (DeeLIO): The 2nd Workshop on Knowledge Extraction and Integration for Deep Learning Architectures

Topic ModelingExplainable Artificial Intelligence (XAI)

Cited by 98

Learning in High Dimension Always Amounts to Extrapolation

Balestriero, R., Pesenti, J., & LeCun, Y. (2021) · arXiv

Stochastic Gradient Optimization TechniquesMachine Learning and Algorithms

Cited by 93

Coarse-to-fine vision-language pre-training with fusion in the backbone

Dou, Z.-Y., Kamath, A., Gan, Z., Zhang, P., Wang, J., Li, L., Liu, Z., Liu, C., Lecun, Y., Peng, N., et al. (2022) · Advances in Neural Information Processing Systems 35

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 93

A mathematical motivation for complex-valued convolutional networks

Tygert, M., Bruna, J., Chintala, S., LeCun, Y., Piantino, S., & Szlam, A. (2016) · Neural Computation

Mathematical Analysis and Transform MethodsNeural Networks and Applications

Cited by 88

Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs

Tong, S., Brown, E., Wu, P., Woo, S., Middepogu, M., Akula, S. C., Yang, J., Yang, S., Iyer, A., Pan, X., et al. (2024) · arXiv

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 68

Toward Next-Generation Artificial Intelligence: Catalyzing the NeuroAI Revolution

Zador, A., Escola, S., Richards, B., Ölveczky, B., Bengio, Y., Boahen, K., Botvinick, M., Chklovskii, D., Churchland, A., Clopath, C., et al. (2022) · arXiv

Embodied and Extended CognitionPsychiatry, Mental Health, Neuroscience

Cited by 34

OFF LINE RECOGNITION OF HANDWRITTEN POSTAL WORDS USING NEURAL NETWORKS

BURGES, C. J. C., BEN, J. I., DENKER, J. S., LECUN, Y., & NOHL, C. R. (1993) · International Journal of Pattern Recognition and Artificial Intelligence

Handwritten Text Recognition TechniquesVehicle License Plate Recognition

Cited by 28

Saturating Auto-Encoders

Goroshin, R., & LeCun, Y. (2013) · arXiv

Neural Networks and ApplicationsFace and Expression Recognition

Cited by 26

LiveBench: A Challenging, Contamination-Limited LLM Benchmark

White, C., Dooley, S., Roberts, M., Pal, A., Feuer, B., Jain, S., Shwartz-Ziv, R., Jain, N., Saifullah, K., Dey, S., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 20

Revisiting Feature Prediction for Learning Visual Representations from Video

Bardes, A., Garrido, Q., Ponce, J., Chen, X., Rabbat, M., LeCun, Y., Assran, M., & Ballas, N. (2024) · arXiv

Domain Adaptation and Few-Shot LearningHuman Pose and Action Recognition

Cited by 18

GAIA: a benchmark for General AI Assistants

Mialon, G., Fourrier, C., Swift, C., Wolf, T., LeCun, Y., & Scialom, T. (2023) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 12

V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning

Assran, M., Bardes, A., Fan, D., Garrido, Q., Howes, R., Mojtaba, Komeili, Muckley, M., Rizvi, A., Roberts, C., et al. (2025) · arXiv

Human Pose and Action RecognitionMultimodal Machine Learning Applications

Cited by 8