| Year |
Citation |
Score |
| 2023 |
Zador A, Escola S, Richards B, Ölveczky B, Bengio Y, Boahen K, Botvinick M, Chklovskii D, Churchland A, Clopath C, DiCarlo J, Ganguli S, Hawkins J, Körding K, Koulakov A, ... LeCun Y, et al. Catalyzing next-generation Artificial Intelligence through NeuroAI. Nature Communications. 14: 1597. PMID 36949048 DOI: 10.1038/s41467-023-37180-x |
0.725 |
|
| 2018 |
LeCun Y. The Power and Limits of Deep Learning Research-Technology Management. 61: 22-27. DOI: 10.1080/08956308.2018.1516928 |
0.357 |
|
| 2017 |
Bronstein MM, Bruna J, LeCun Y, Szlam A, Vandergheynst P. Geometric Deep Learning: Going beyond Euclidean data Ieee Signal Processing Magazine. 34: 18-42. DOI: 10.1109/Msp.2017.2693418 |
0.704 |
|
| 2016 |
Tygert M, Bruna J, Chintala S, LeCun Y, Piantino S, Szlam A. A Mathematical Motivation for Complex-Valued Convolutional Networks. Neural Computation. 1-11. PMID 26890348 DOI: 10.1162/Neco_A_00824 |
0.667 |
|
| 2015 |
LeCun Y, Bengio Y, Hinton G. Deep learning. Nature. 521: 436-44. PMID 26017442 DOI: 10.1038/Nature14539 |
0.622 |
|
| 2015 |
Ranzato M’, Hinton G, LeCun Y. Guest Editorial: Deep Learning International Journal of Computer Vision. 113: 1-2. DOI: 10.1007/S11263-015-0813-1 |
0.803 |
|
| 2014 |
Tompson J, Stein M, Lecun Y, Perlin K. Real-time continuous pose recovery of human hands using convolutional networks Acm Transactions On Graphics. 33. DOI: 10.1145/2629500 |
0.31 |
|
| 2014 |
Bruna J, Szlam A, Lecun Y. Signal recovery from pooling representations 31st International Conference On Machine Learning, Icml 2014. 2: 1585-1598. |
0.64 |
|
| 2013 |
Farabet C, Couprie C, Najman L, Lecun Y. Learning hierarchical features for scene labeling. Ieee Transactions On Pattern Analysis and Machine Intelligence. 35: 1915-29. PMID 23787344 DOI: 10.1109/Tpami.2012.231 |
0.362 |
|
| 2013 |
Muller UA, Jackel LD, Lecun Y, Flepp B. Real-time adaptive o-road vehicle navigation and terrain classification Proceedings of Spie - the International Society For Optical Engineering. 8741. DOI: 10.1117/12.2015533 |
0.425 |
|
| 2013 |
Sermanet P, Kavukcuoglu K, Chintala S, Lecun Y. Pedestrian detection with unsupervised multi-stage feature learning Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 3626-3633. DOI: 10.1109/CVPR.2013.465 |
0.797 |
|
| 2013 |
Humphrey EJ, Bello JP, Lecun Y. Feature learning and deep architectures: New directions for music informatics Journal of Intelligent Information Systems. 41: 461-481. DOI: 10.1007/s10844-013-0248-5 |
0.309 |
|
| 2012 |
Farabet C, Couprie C, Najman L, Lecun Y. Learning Hierarchical Features for Scene Labeling. Ieee Transactions On Pattern Analysis and Machine Intelligence. PMID 23091265 |
0.314 |
|
| 2012 |
Farabet C, Paz R, Pérez-Carrasco J, Zamarreño-Ramos C, Linares-Barranco A, Lecun Y, Culurciello E, Serrano-Gotarredona T, Linares-Barranco B. Comparison between Frame-Constrained Fix-Pixel-Value and Frame-Free Spiking-Dynamic-Pixel ConvNets for Visual Processing. Frontiers in Neuroscience. 6: 32. PMID 22518097 DOI: 10.3389/Fnins.2012.00032 |
0.316 |
|
| 2012 |
Mirowski P, Lecun Y. Statistical machine learning and dissolved gas analysis: A review Ieee Transactions On Power Delivery. 27: 1791-1799. DOI: 10.1109/Tpwrd.2012.2197868 |
0.642 |
|
| 2012 |
LeCun Y. Learning invariant feature hierarchies Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7583: 496-505. DOI: 10.1007/978-3-642-33863-2_51 |
0.325 |
|
| 2012 |
Szlam A, Gregor K, LeCun Y. Fast approximations to structured sparse coding and applications to object classification Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7576: 200-213. DOI: 10.1007/978-3-642-33715-4_15 |
0.758 |
|
| 2012 |
Sermanet P, Chintala S, Lecun Y. Convolutional neural networks applied to house numbers digit classification Proceedings - International Conference On Pattern Recognition. 3288-3291. |
0.74 |
|
| 2011 |
Sermanet P, Lecun Y. Traffic sign recognition with multi-scale convolutional networks Proceedings of the International Joint Conference On Neural Networks. 2809-2813. DOI: 10.1109/IJCNN.2011.6033589 |
0.739 |
|
| 2011 |
Boureau YL, Le Roux N, Bach F, Ponce J, Lecun Y. Ask the locals: Multi-way local pooling for image recognition Proceedings of the Ieee International Conference On Computer Vision. 2651-2658. DOI: 10.1109/ICCV.2011.6126555 |
0.759 |
|
| 2011 |
Farabet C, LeCun Y, Kavukcuoglu K, Martini B, Akselrod P, Talay S, Culurciello E. Large-scale FPGA-based convolutional networks Scaling Up Machine Learning: Parallel and Distributed Approaches. 399-419. DOI: 10.1017/CBO9781139042918.020 |
0.659 |
|
| 2011 |
Gregor K, Szlam A, LeCun Y. Structured sparse coding via lateral inhibition Advances in Neural Information Processing Systems 24: 25th Annual Conference On Neural Information Processing Systems 2011, Nips 2011. |
0.627 |
|
| 2011 |
Henaff M, Jarrett K, Kavukcuoglu K, Lecun Y. Unsupervised learning of sparse features for scalable audio classification Proceedings of the 12th International Society For Music Information Retrieval Conference, Ismir 2011. 681-686. |
0.812 |
|
| 2010 |
Krouk G, Mirowski P, LeCun Y, Shasha DE, Coruzzi GM. Predictive network modeling of the high-resolution dynamic plant transcriptome in response to nitrate. Genome Biology. 11: R123. PMID 21182762 DOI: 10.1186/Gb-2010-11-12-R123 |
0.605 |
|
| 2010 |
LeCun Y, Kavukcuoglu K, Farabet C. Convolutional networks and applications in vision Iscas 2010 - 2010 Ieee International Symposium On Circuits and Systems: Nano-Bio Circuit Fabrics and Systems. 253-256. DOI: 10.1109/ISCAS.2010.5537907 |
0.667 |
|
| 2010 |
Grimes MK, Anguelov D, LeCun Y. Hybrid Hessians for flexible optimization of pose graphs Ieee/Rsj 2010 International Conference On Intelligent Robots and Systems, Iros 2010 - Conference Proceedings. 2997-3004. DOI: 10.1109/IROS.2010.5650091 |
0.704 |
|
| 2010 |
Boureau YL, Bach F, LeCun Y, Ponce J. Learning mid-level features for recognition Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 2559-2566. DOI: 10.1109/CVPR.2010.5539963 |
0.808 |
|
| 2010 |
Taylor GW, Fergus R, LeCun Y, Bregler C. Convolutional learning of spatio-temporal features Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6316: 140-153. DOI: 10.1007/978-3-642-15567-3_11 |
0.515 |
|
| 2010 |
Kavukcuoglu K, Sermanet P, Boureau YL, Gregor K, Mathieu M, LeCun Y. Learning convolutional feature hierarchies for visual recognition Advances in Neural Information Processing Systems 23: 24th Annual Conference On Neural Information Processing Systems 2010, Nips 2010. |
0.784 |
|
| 2010 |
Boureau YL, Ponce J, Lecun Y. A theoretical analysis of feature pooling in visual recognition Icml 2010 - Proceedings, 27th International Conference On Machine Learning. 111-118. |
0.777 |
|
| 2009 |
Mirowski P, Madhavan D, Lecun Y, Kuzniecky R. Classification of patterns of EEG synchronization for seizure prediction. Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology. 120: 1927-40. PMID 19837629 DOI: 10.1016/J.Clinph.2009.09.002 |
0.653 |
|
| 2009 |
Grimes M, LeCun Y. Efficient off-road localization using visually corrected odometry Proceedings - Ieee International Conference On Robotics and Automation. 2649-2654. DOI: 10.1109/ROBOT.2009.5152880 |
0.727 |
|
| 2009 |
Sermanet P, Kavukcuoglu K, LeCun Y. EBLearn: Open-source energy-based learning in C++ Proceedings - International Conference On Tools With Artificial Intelligence, Ictai. 693-697. DOI: 10.1109/ICTAI.2009.28 |
0.778 |
|
| 2009 |
Jarrett K, Kavukcuoglu K, Ranzato M, LeCun Y. What is the best multi-stage architecture for object recognition? Proceedings of the Ieee International Conference On Computer Vision. 2146-2153. DOI: 10.1109/ICCV.2009.5459469 |
0.758 |
|
| 2009 |
Kavukcuoglu K, Ranzato M, Fergus R, LeCun Y. Learning invariant features through topographic filter maps 2009 Ieee Computer Society Conference On Computer Vision and Pattern Recognition Workshops, Cvpr Workshops 2009. 1605-1612. DOI: 10.1109/CVPRW.2009.5206545 |
0.794 |
|
| 2009 |
Mirowski P, Lecun Y. Dynamic factor graphs for time series modeling Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5782: 128-143. DOI: 10.1007/978-3-642-04174-7_9 |
0.547 |
|
| 2009 |
Hadsell R, Sermanet P, Ben J, Erkan A, Scoffier M, Kavukcuoglu K, Muller U, LeCun Y. Learning long-range vision for autonomous off-road driving Journal of Field Robotics. 26: 120-144. DOI: 10.1002/Rob.V26:2 |
0.784 |
|
| 2009 |
Sermanet P, Hadsell R, Scoffier M, Grimes M, Ben J, Erkan A, Crudele C, Miller U, LeCun Y. A multirange architecture for collision-free off-road robot navigation Journal of Field Robotics. 26: 52-87. DOI: 10.1002/Rob.V26:1 |
0.74 |
|
| 2009 |
Sermanet P, Hadsell R, Scoffier M, Grimes M, Ben J, Erkan A, Crudele C, Miller U, LeCun Y. A multirange architecture for collision-free off-road robot navigation: Sermanet et al.: A Multirange and Collision-Free Navigation System Journal of Field Robotics. 26: 52-87. DOI: 10.1002/Rob.20270 |
0.728 |
|
| 2008 |
Mirowski PW, LeCun Y, Madhavan D, Kuzniecky R. Comparing SVM and convolutional networks for epileptic seizure prediction from intracranial EEG Proceedings of the 2008 Ieee Workshop On Machine Learning For Signal Processing, Mlsp 2008. 244-249. DOI: 10.1109/MLSP.2008.4685487 |
0.568 |
|
| 2008 |
Hadsell R, Erkan A, Sermanet P, Scoffier M, Muller U, LeCun Y. Deep belief net learning in a long-range vision system for autonomous off-road driving 2008 Ieee/Rsj International Conference On Intelligent Robots and Systems, Iros. 628-633. DOI: 10.1109/IROS.2008.4651217 |
0.804 |
|
| 2008 |
Sermanet P, Hadsell R, Scoffier M, Muller U, LeCun Y. Mapping and planning under uncertainty in mobile robots with long-range perception 2008 Ieee/Rsj International Conference On Intelligent Robots and Systems, Iros. 2525-2530. DOI: 10.1109/IROS.2008.4651203 |
0.751 |
|
| 2008 |
Sermanet P, Scoffier M, Crudele C, Muller U, LeCun Y. Learning maneuver dictionaries for ground robot planning 39th International Symposium On Robotics, Isr 2008. 962-967. |
0.78 |
|
| 2007 |
Sermanet P, Hadsell R, Ben J, Erkan AN, Flepp B, Muller U, LeCun Y. Speed-range dilemmas for vision-based navigation in unstructured terrain Ifac Proceedings Volumes (Ifac-Papersonline). 6: 300-305. DOI: 10.3182/20070903-3-Fr-2921.00052 |
0.763 |
|
| 2007 |
Erkan AN, Hadsell R, Sermanet P, Ben J, Muller U, LeCun Y. Adaptive long range vision in unstructured terrain Ieee International Conference On Intelligent Robots and Systems. 2421-2426. DOI: 10.1109/IROS.2007.4399622 |
0.763 |
|
| 2007 |
LeCun Y, Chopra S, Ranzato MA, Huang FJ. Energy-based models in document recognition and computer vision Proceedings of the International Conference On Document Analysis and Recognition, Icdar. 1: 337-341. DOI: 10.1109/ICDAR.2007.4378728 |
0.68 |
|
| 2007 |
Ranzato MA, LeCun Y. A sparse and locally shift invariant feature extractor applied to document images Proceedings of the International Conference On Document Analysis and Recognition, Icdar. 2: 1213-1217. DOI: 10.1109/ICDAR.2007.4377108 |
0.683 |
|
| 2007 |
Ranzato M, Huang FJ, Boureau YL, LeCun Y. Unsupervised learning of invariant feature hierarchies with applications to object recognition Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. DOI: 10.1109/CVPR.2007.383157 |
0.799 |
|
| 2007 |
Ranzato M, Taylor PE, House JM, Flagan RC, LeCun Y, Perona P. Automatic recognition of biological particles in microscopic images Pattern Recognition Letters. 28: 31-39. DOI: 10.1016/J.Patrec.2006.06.010 |
0.718 |
|
| 2007 |
Hadsell R, Erkan A, Sermanet P, Ben J, Kavukcuoglu K, Muller U, LeCun Y. A multi-range vision strategy for autonomous offroad navigation Proceedings of the 13th Iasted International Conference On Robotics and Applications, Ra 2007 and Proceedings of the Iasted International Conference On Telematics. 457-463. |
0.772 |
|
| 2007 |
Ranzato M, Boureau YL, LeCun Y, Chopra S. A unified energy-based framework for unsupervised learning Journal of Machine Learning Research. 2: 371-379. |
0.786 |
|
| 2007 |
Mirowski PW, Madhavan D, LeCun Y. Time-delay neural networks and independent component analysis for EEG-based prediction of epileptic seizures propagation Proceedings of the National Conference On Artificial Intelligence. 2: 1892-1893. |
0.576 |
|
| 2007 |
Ranzato MA, Poultney C, Chopra S, LeCun Y. Efficient learning of sparse representations with an energy-based model Advances in Neural Information Processing Systems. 1137-1144. |
0.724 |
|
| 2005 |
Ning F, Delhomme D, LeCun Y, Piano F, Bottou L, Barbano PE. Toward automatic phenotyping of developing embryos from videos. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. 14: 1360-71. PMID 16190471 DOI: 10.1109/Tip.2005.852470 |
0.568 |
|
| 1999 |
LeCun Y, Haffner P, Bottou L, Bengio Y. Object recognition with gradient-based learning Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1681: 319-345. |
0.309 |
|
| 1998 |
LeCun Y, Bottou L, Bengio Y, Haffner P. Gradient-based learning applied to document recognition Proceedings of the Ieee. 86: 2278-2323. DOI: 10.1109/5.726791 |
0.312 |
|
| 1993 |
BURGES C, BEN J, DENKER J, LECUN Y, NOHL C. OFF LINE RECOGNITION OF HANDWRITTEN POSTAL WORDS USING NEURAL NETWORKS International Journal of Pattern Recognition and Artificial Intelligence. 7: 689-704. DOI: 10.1142/S0218001493000340 |
0.3 |
|
| 1993 |
BROMLEY J, BENTZ JW, BOTTOU L, GUYON I, LECUN Y, MOORE C, SÄCKINGER E, SHAH R. SIGNATURE VERIFICATION USING A “SIAMESE” TIME DELAY NEURAL NETWORK International Journal of Pattern Recognition and Artificial Intelligence. 7: 669-688. DOI: 10.1142/S0218001493000339 |
0.325 |
|
| 1989 |
LeCun Y, Boser B, Denker JS, Henderson D, Howard RE, Hubbard W, Jackel LD. Backpropagation Applied to Handwritten Zip Code Recognition Neural Computation. 1: 541-551. DOI: 10.1162/Neco.1989.1.4.541 |
0.381 |
|
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