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Yann LeCun

Silver Professor; Professor of Computer Science

    1985 …2019

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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. 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