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Yann LeCun

Silver Professor; Professor of Computer Science

    1985 …2021

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    • 2019

      1.1 Deep Learning Hardware: Past, Present, and Future

      Lecun, Y., Mar 6 2019, 2019 IEEE International Solid-State Circuits Conference, ISSCC 2019. Institute of Electrical and Electronics Engineers Inc., p. 12-19 8 p. 8662396. (Digest of Technical Papers - IEEE International Solid-State Circuits Conference; vol. 2019-February).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • DesIGN: Design inspiration from generative networks

      Sbai, O., Elhoseiny, M., Bordes, A., LeCun, Y. & Couprie, C., 2019, Computer Vision – ECCV 2018 Workshops, Proceedings. Leal-Taixé, L. & Roth, S. (eds.). Springer Verlag, p. 37-44 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11131 LNCS).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • Unsupervised image matching and object discovery as optimization

      Vo, H. V., Bach, F., Cho, M., Han, K., Lecun, Y., Perez, P. & Ponce, J., Jun 2019, Proceedings - 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2019. IEEE Computer Society, p. 8279-8288 10 p. 8953281. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2019-June).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • 2018

      A Closer Look at Spatiotemporal Convolutions for Action Recognition

      Tran, D., Wang, H., Torresani, L., Ray, J., Lecun, Y. & Paluri, M., Dec 14 2018, Proceedings - 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2018. IEEE Computer Society, p. 6450-6459 10 p. 8578773. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • Adversarially regularized autoencoders

      Zhao, J., Kim, Y., Zhang, K., Rush, A. M. & LeCun, Y., 2018, 35th International Conference on Machine Learning, ICML 2018. Krause, A. & Dy, J. (eds.). International Machine Learning Society (IMLS), p. 9405-9420 16 p. (35th International Conference on Machine Learning, ICML 2018; vol. 13).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • Comparing Dynamics: Deep Neural Networks versus Glassy Systems

      Baity-Jest, M., Sagun, L., Mario, G., Spiglery, S., Arous, G. B., Cammarota, C., Lecun, Y., Vvyart, M. & Biroli, G. J., 2018, 35th International Conference on Machine Learning, ICML 2018. Krause, A. & Dy, J. (eds.). International Machine Learning Society (IMLS), p. 526-535 10 p. (35th International Conference on Machine Learning, ICML 2018; vol. 1).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • Predicting future instance segmentation by forecasting convolutional features

      Luc, P., Couprie, C., LeCun, Y. & Verbeek, J., 2018, Computer Vision – ECCV 2018 - 15th European Conference, 2018, Proceedings. Hebert, M., Ferrari, V., Sminchisescu, C. & Weiss, Y. (eds.). Springer Verlag, p. 593-608 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11213 LNCS).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • 2017

      Predicting Deeper into the Future of Semantic Segmentation

      Luc, P., Neverova, N., Couprie, C., Verbeek, J. & Lecun, Y., Dec 22 2017, Proceedings - 2017 IEEE International Conference on Computer Vision, ICCV 2017. Institute of Electrical and Electronics Engineers Inc., p. 648-657 10 p. 8237339. (Proceedings of the IEEE International Conference on Computer Vision; vol. 2017-October).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • Tunable efficient unitary neural networks (EUNN) and their application to RNNs

      Jing, L., Shen, Y., Dubcek, T., Peurifoy, J., Skirlo, S., LeCun, Y., Tegmark, M. & Soljačić, M., 2017, 34th International Conference on Machine Learning, ICML 2017. International Machine Learning Society (IMLS), p. 2753-2761 9 p. (34th International Conference on Machine Learning, ICML 2017; vol. 4).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • Very deep convolutional networks for text classification

      Conneau, A., Schwenk, H., Cun, Y. L. & Barrault, L., 2017, Long Papers - Continued. Association for Computational Linguistics (ACL), p. 1107-1116 10 p. (15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017 - Proceedings of Conference; vol. 1).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

      Open Access
    • 2016

      Binary embeddings with structured hashed projections

      Choromanska, A., Choromanski, K., Bojarski, M., Jebara, T., Kumar, S. & Lecun, Y., 2016, 33rd International Conference on Machine Learning, ICML 2016. Balcan, M. F. & Weinberger, K. Q. (eds.). International Machine Learning Society (IMLS), p. 539-554 16 p. (33rd International Conference on Machine Learning, ICML 2016; vol. 1).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • Deep learning & convolutional networks

      LeCun, Y., May 23 2016, 2015 IEEE Hot Chips 27 Symposium, HCS 2015. Institute of Electrical and Electronics Engineers Inc., 7477328. (2015 IEEE Hot Chips 27 Symposium, HCS 2015).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • Recurrent orthogonal networks and long-memory tasks

      Henaff, M., Szlam, A. & Lecun, Y., 2016, 33rd International Conference on Machine Learning, ICML 2016. Weinberger, K. Q. & Balcan, M. F. (eds.). International Machine Learning Society (IMLS), p. 2978-2986 9 p. (33rd International Conference on Machine Learning, ICML 2016; vol. 5).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • Very deep multilingual convolutional neural networks for LVCSR

      Sercu, T., Puhrsch, C., Kingsbury, B. & Lecun, Y., May 18 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 4955-4959 5 p. 7472620. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2016-May).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • 2015

      Audio source separation with discriminative scattering networks

      Sprechmann, P., Bruna, J. & LeCun, Y., 2015, Latent Variable Analysis and Signal Separation - 12th International Conference, LVA/ICA 2015, Proceedings. Koldovský, Z., Vincent, E., Yeredor, A. & Tichavský, P. (eds.). Springer Verlag, p. 259-267 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9237).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • Computing the stereo matching cost with a convolutional neural network

      Žbontar, J. & Le Cun, Y., Oct 14 2015, IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2015. IEEE Computer Society, p. 1592-1599 8 p. 7298767. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 07-12-June-2015).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • Efficient object localization using convolutional networks

      Lecun, Y., 2015, Computer vision and pattern recognition (CVPR 2015).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • MoDeep: A deep learning framework using motion features for human pose estimation

      Jain, A., Tompson, J., LeCun, Y. & Bregler, C., 2015, Computer Vision - ACCV 2014 - 12th Asian Conference on Computer Vision, Revised Selected Papers. Yang, M-H., Saito, H., Cremers, D. & Reid, I. (eds.). Springer Verlag, p. 302-315 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9004).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • Source separation with scattering Non-Negative Matrix Factorization

      Bruna, J., Sprechmann, P. & Lecun, Y., Aug 4 2015, 2015 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 1876-1880 5 p. 7178296. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2015-August).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • The loss of surface of multilayer networks

      Lecun, Y., 2015, AI and Statistics (AIStats 2015).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • The Loss Surfaces of Multilayer Networks

      Choromanska, A., Henaff, M. B., Mathieu, M., Ben Arous, G. & LeCun, Y., 2015, International Conference on Articial Intelligence and Statistics (AISTATS).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • Unsupervised learning of spatiotemporally coherent metrics

      Goroshin, R., Bruna, J., Tompson, J., Eigen, D. & Lecun, Y., Feb 17 2015, 2015 International Conference on Computer Vision, ICCV 2015. Institute of Electrical and Electronics Engineers Inc., p. 4086-4093 8 p. 7410822. (Proceedings of the IEEE International Conference on Computer Vision; vol. 2015 International Conference on Computer Vision, ICCV 2015).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • 2014

      Exploiting linear structure within convolutional networks for efficient evaluation

      Denton, E., Zaremba, W., Bruna, J., LeCun, Y. & Fergus, R., 2014, Advances in Neural Information Processing Systems. January ed. Neural information processing systems foundation, Vol. 2. p. 1269-1277 9 p.

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • Signal recovery from pooling representations

      Bruna, J., Szlam, A. & Lecun, Y., 2014, 31st International Conference on Machine Learning, ICML 2014. International Machine Learning Society (IMLS), p. 1585-1598 14 p. (31st International Conference on Machine Learning, ICML 2014; vol. 2).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • Spectral networks and locally connected networks on graphs

      Bruna, J., Zaremba, W., Szlam, A. & Lecun, Y., 2014, International Conference on Learning Representations (ICLR2014), CBLS, April 2014. http://openreview.net/document/d332e77d- 459a-4af8-b3ed-55ba9662182c, http://arxiv.org/abs/1312.6203

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • 2013

      Causal graph-based video segmentation

      Couprie, C., Farabet, C., Lecun, Y. & Najman, L., 2013, 2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings. p. 4249-4253 5 p. 6738875. (2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • Pushing stochastic gradient towards second-order methods - Backpropagation learning with transformations in nonlinearities

      Vatanen, T., Raiko, T., Valpola, H. & LeCun, Y., 2013, Neural Information Processing - 20th International Conference, ICONIP 2013, Proceedings. PART 1 ed. p. 442-449 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8226 LNCS, no. PART 1).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • Real-time adaptive o-road vehicle navigation and terrain classification

      Muller, U. A., Jackel, L. D., Lecun, Y. & Flepp, B., 2013, Unmanned Systems Technology XV. 87410A. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 8741).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • Regularization of neural networks using DropConnect

      Wan, L., Zeiler, M., Zhang, S., LeCun, Y. & Fergus, R., 2013, 30th International Conference on Machine Learning, ICML 2013. PART 3 ed. International Machine Learning Society (IMLS), p. 2095-2103 9 p.

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • 2012

      Convolutional neural networks applied to house numbers digit classification

      Sermanet, P., Chintala, S. & Lecun, Y., 2012, ICPR 2012 - 21st International Conference on Pattern Recognition. p. 3288-3291 4 p. 6460867. (Proceedings - International Conference on Pattern Recognition).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • Deep learning made easier by linear transformations in perceptrons

      Raiko, T., Valpola, H. & Lecun, Y., 2012, Conference on AI and Statistics (JMLR W&CP). Vol. 22. p. 924-932 http://jmlr.csail.mit.edu/proceedings/papers/v22/raiko12/raiko12.pdf

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • Fast approximations to structured sparse coding and applications to object classification

      Szlam, A., Gregor, K. & LeCun, Y., 2012, Computer Vision, ECCV 2012 - 12th European Conference on Computer Vision, Proceedings. PART 5 ed. p. 200-213 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7576 LNCS, no. PART 5).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • Learning invariant feature hierarchies

      LeCun, Y., 2012, Computer Vision, ECCV 2012 - Workshops and Demonstrations, Proceedings. PART 1 ed. Springer Verlag, p. 496-505 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7583 LNCS, no. PART 1).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • Moving beyond feature design: Deep architectures and automatic feature learning in music informatics

      Humphrey, E. J., Bello, J. P. & LeCun, Y., 2012, Proceedings of the 13th International Society for Music Information Retrieval Conference, ISMIR 2012. p. 403-408 6 p. (Proceedings of the 13th International Society for Music Information Retrieval Conference, ISMIR 2012).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • NeuFlow: Dataflow vision processing system-on-a-chip

      Pham, P. H., Jelaca, D., Farabet, C., Martini, B., LeCun, Y. & Culurciello, E., 2012, 2012 IEEE 55th International Midwest Symposium on Circuits and Systems, MWSCAS 2012. p. 1044-1047 4 p. 6292202. (Midwest Symposium on Circuits and Systems).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • Road scene segmentation from a single image

      Alvarez, J. M., Gevers, T., LeCun, Y. & Lopez, A. M., 2012, Computer Vision, ECCV 2012 - 12th European Conference on Computer Vision, Proceedings. PART 7 ed. p. 376-389 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7578 LNCS, no. PART 7).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • Scene parsing with multiscale feature learning, purity trees, and optimal covers

      Farabet, C., Couprie, C., Najman, L. & LeCun, Y., 2012, Proceedings of the 29th International Conference on Machine Learning, ICML 2012. p. 575-582 8 p. (Proceedings of the 29th International Conference on Machine Learning, ICML 2012; vol. 1).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • Semantic road segmentation via multi-scale ensembles of learned features

      Alvarez, J. M., LeCun, Y., Gevers, T. & Lopez, A. M., 2012, Computer Vision, ECCV 2012 - Workshops and Demonstrations, Proceedings. PART 2 ed. Springer Verlag, p. 586-595 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7584 LNCS, no. PART 2).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • 2011

      Ask the locals: Multi-way local pooling for image recognition

      Boureau, Y. L., Le Roux, N., Bach, F., Ponce, J. & Lecun, Y., 2011, 2011 International Conference on Computer Vision, ICCV 2011. p. 2651-2658 8 p. 6126555. (Proceedings of the IEEE International Conference on Computer Vision).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • Concerto for violin and Markov model: technical perspective. Communications of the ACM, 54(3), 86-86

      Rowe, R., Bello, J. & LeCun, Y., 2011, Concerto for violin and Markov model: technical perspective. Communications of the ACM, 54(3), 86-86.

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • Hardware accelerated visual attention algorithm

      Akselrod, P., Zhao, F., Derekli, I., Farabet, C., Martini, B., LeCun, Y. & Culurciello, E., 2011, 2011 45th Annual Conference on Information Sciences and Systems, CISS 2011. 5766191. (2011 45th Annual Conference on Information Sciences and Systems, CISS 2011).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • NeuFlow: A runtime reconfigurable dataflow processor for vision

      Farabet, C., Martini, B., Corda, B., Akselrod, P., Culurciello, E. & Lecun, Y., 2011, 2011 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2011. IEEE Computer Society, p. 109-116 8 p. 5981829. (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • Structured sparse coding via lateral inhibition

      Gregor, K., Szlam, A. & LeCun, Y., 2011, Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011, NIPS 2011. (Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011, NIPS 2011).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • Traffic sign recognition with multi-scale convolutional networks

      Sermanet, P. & Lecun, Y., 2011, 2011 International Joint Conference on Neural Networks, IJCNN 2011 - Final Program. p. 2809-2813 5 p. 6033589. (Proceedings of the International Joint Conference on Neural Networks).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • Unsupervised learning of sparse features for scalable audio classification

      Henaff, M., Jarrett, K., Kavukcuoglu, K. & Lecun, Y., 2011, Proceedings of the 12th International Society for Music Information Retrieval Conference, ISMIR 2011. p. 681-686 6 p. (Proceedings of the 12th International Society for Music Information Retrieval Conference, ISMIR 2011).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • 2010

      A theoretical analysis of feature pooling in visual recognition

      Boureau, Y. L., Ponce, J. & Lecun, Y., 2010, ICML 2010 - Proceedings, 27th International Conference on Machine Learning. p. 111-118 8 p. (ICML 2010 - Proceedings, 27th International Conference on Machine Learning).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • Convolutional learning of spatio-temporal features

      Taylor, G. W., Fergus, R., LeCun, Y. & Bregler, C., 2010, Computer Vision, ECCV 2010 - 11th European Conference on Computer Vision, Proceedings. PART 6 ed. Springer Verlag, p. 140-153 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6316 LNCS, no. PART 6).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • Convolutional networks and applications in vision

      LeCun, Y., Kavukcuoglu, K. & Farabet, C., 2010, ISCAS 2010 - 2010 IEEE International Symposium on Circuits and Systems: Nano-Bio Circuit Fabrics and Systems. p. 253-256 4 p. 5537907. (ISCAS 2010 - 2010 IEEE International Symposium on Circuits and Systems: Nano-Bio Circuit Fabrics and Systems).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • Dynamic auto-encoders for semantic indexing

      Mirowski, P. W., Ranzato, M. A. & Lecun, Y., 2010, Proceedings of the NIPS 2010 Workshop on Deep Learning.

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • Hardware accelerated convolutional neural networks for synthetic vision systems

      Farabet, C., Martini, B., Akselrod, P., Talay, S., LeCun, Y. & Culurciello, E., 2010, ISCAS 2010 - 2010 IEEE International Symposium on Circuits and Systems: Nano-Bio Circuit Fabrics and Systems. p. 257-260 4 p. 5537908. (ISCAS 2010 - 2010 IEEE International Symposium on Circuits and Systems: Nano-Bio Circuit Fabrics and Systems).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

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