Yann LeCun - Research output - NYU Scholars

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2024
GAIA: A BENCHMARK FOR GENERAL AI ASSISTANTS
Mialon, G., Fourrier, C., Swift, C., Wolf, T., LeCun, Y. & Scialom, T., 2024.
Research output: Contribution to conference › Paper › peer-review
HARNESSING EXPLANATIONS: LLM-TO-LM INTERPRETER FOR ENHANCED TEXT-ATTRIBUTED GRAPH REPRESENTATION LEARNING
He, X., Bresson, X., Laurent, T., Perold, A., LeCun, Y. & Hooi, B., 2024.
Research output: Contribution to conference › Paper › peer-review
2023
MINIMALISTIC UNSUPERVISED REPRESENTATION LEARNING WITH THE SPARSE MANIFOLD TRANSFORM
Chen, Y., Yun, Z., Ma, Y., Olshausen, B. & LeCun, Y., 2023.
Research output: Contribution to conference › Paper › peer-review
ON THE DUALITY BETWEEN CONTRASTIVE AND NON-CONTRASTIVE SELF-SUPERVISED LEARNING
Garrido, Q., Chen, Y., Bardes, A., Najman, L. & LeCun, Y., 2023.
Research output: Contribution to conference › Paper › peer-review
2022
UNDERSTANDING DIMENSIONAL COLLAPSE IN CONTRASTIVE SELF-SUPERVISED LEARNING
Jing, L., Vincent, P., LeCun, Y. & Tian, Y., 2022.
Research output: Contribution to conference › Paper › peer-review
VICREG: VARIANCE-INVARIANCE-COVARIANCE REGULARIZATION FOR SELF-SUPERVISED LEARNING
Bardes, A., Ponce, J. & LeCun, Y., 2022.
Research output: Contribution to conference › Paper › peer-review
2019
Model-predictive policy learning with uncertainty regularization for driving in dense traffic
Henaff, M., LeCun, Y. & Canziani, A., Jan 1 2019.
Research output: Contribution to conference › Paper › peer-review
The role of over-parametrization in generalization of neural networks
Neyshabur, B., Li, Z., Bhojanapalli, S., LeCun, Y. & Srebro, N., Jan 1 2019.
Research output: Contribution to conference › Paper › peer-review
Tracking the world state with recurrent entity networks
Henaff, M., Weston, J., Szlam, A., Bordes, A. & LeCun, Y., Jan 1 2019.
Research output: Contribution to conference › Paper › peer-review
2017
Energy-based generative adversarial networks
Zhao, J., Mathieu, M. & LeCun, Y., 2017.
Research output: Contribution to conference › Paper › peer-review
Entropy-SGD: Biasing gradient descent into wide valleys
Chaudhari, P., Choromanska, A., Soatto, S., LeCun, Y., Baldassi, C., Borgs, C., Chayes, J., Sagun, L. & Zecchina, R., 2017.
Research output: Contribution to conference › Paper › peer-review
Tracking the world state with recurrent entity networks
Henaff, M., Weston, J., Szlam, A., Bordes, A. & LeCun, Y., 2017.
Research output: Contribution to conference › Paper › peer-review
Universum prescription: Regularization using unlabeled data
Zhang, X. & LeCun, Y., 2017, p. 2907-2913. 7 p.
Research output: Contribution to conference › Paper › peer-review
2016
Deep multi-scale video prediction beyond mean square error
Mathieu, M., Couprie, C. & LeCun, Y., Jan 1 2016.
Research output: Contribution to conference › Paper › peer-review
Super-resolution with deep convolutional sufficient statistics
Bruna, J., Sprechmann, P. & LeCun, Y., Jan 1 2016.
Research output: Contribution to conference › Paper › peer-review
2015
Audio source separation with discriminative scattering networks
Sprechmann, P., Bruna, J. & Lecun, Y., 2015.
Research output: Contribution to conference › Paper › peer-review
Deep learning with elastic averaging SGD
Zhang, S., Choromanska, A. & LeCun, Y., 2015.
Research output: Contribution to conference › Paper › peer-review
Explorations on high dimensional landscapes
Sagun, L., Ugur Güney, V., Arous, G. B. & LeCun, Y., Jan 1 2015.
Research output: Contribution to conference › Paper › peer-review
Fast convolutional nets with fbfft: A GPU performance evaluation
Vasilache, N., Johnson, J., Mathieu, M., Chintala, S., Piantino, S. & LeCun, Y., Jan 1 2015.
Research output: Contribution to conference › Paper › peer-review
Unsupervised feature learning from temporal data
Goroshin, R., Bruna, J., Tompson, J., Eigen, D. & LeCun, Y., 2015.
Research output: Contribution to conference › Paper › peer-review
2014
Fast training of convolutional networks through FFTS: International Conference on Learning Representations (ICLR2014), CBLS, April 2014
Mathieu, M., Henaff, M. & LeCun, Y., Jan 1 2014.
Research output: Contribution to conference › Paper › peer-review
Overfeat: Integrated recognition, localization and detection using convolutional networks
Sermanet, P., Eigen, D., Zhang, X., Mathieu, M., Fergus, R. & LeCun, Y., 2014.
Research output: Contribution to conference › Paper › peer-review
Overfeat: Integrated recognition, localization and detection using convolutional networks. 2nd International Conference on Learning Representations, ICLR 2014
Sermanet, P., Eigen, D., Zhang, X., Mathieu, M., Fergus, R. & LeCun, Y., Jan 1 2014.
Research output: Contribution to conference › Paper › peer-review
Spectral networks and deep locally connected networks on graphs
Bruna, J., Zaremba, W., Szlam, A. & LeCun, Y., Jan 1 2014.
Research output: Contribution to conference › Paper › peer-review
Understanding deep architectures using a recursive convolutional network: 2nd International Conference on Learning Representations, ICLR 2014
Eigen, D., Rolfe, J., Fergus, R. & LeCun, Y., Jan 1 2014.
Research output: Contribution to conference › Paper › peer-review
2013
Adaptive learning rates and parallelization for stochastic, sparse, non-smooth gradients
Schaul, T. & LeCun, Y., Jan 1 2013.
Research output: Contribution to conference › Paper › peer-review
Discriminative recurrent sparse auto-encoders: 1st International Conference on Learning Representations, ICLR 2013
Rolfe, J. T. & LeCun, Y., Jan 1 2013.
Research output: Contribution to conference › Paper › peer-review
Indoor semantic segmentation using depth information: 1st International Conference on Learning Representations, ICLR 2013
Couprie, C., Farabet, C., Najman, L. & LeCun, Y., Jan 1 2013.
Research output: Contribution to conference › Paper › peer-review
Learning stable group invariant representations with convolutional networks
Bruna, J., Szlam, A. & LeCun, Y., 2013.
Research output: Contribution to conference › Paper › peer-review
No more pesky learning rates
Schaul, T., Zhang, S. & LeCun, Y., 2013, p. 1380-1388. 9 p.
Research output: Contribution to conference › Paper › peer-review
Pushing stochastic gradient towards second-order methods – backpropagation learning with transformations in nonlinearities
Vatanen, T., Raiko, T., Valpola, H. & LeCun, Y., 2013.
Research output: Contribution to conference › Paper › peer-review
Saturating auto-encoders: International Conference on Learning Representations, ICLR 2013
Goroshin, R. & LeCun, Y., Jan 1 2013.
Research output: Contribution to conference › Paper › peer-review
Saturating auto-encoders
Goroshin, R. & LeCun, Y., 2013.
Research output: Contribution to conference › Paper › peer-review
2008
Learning maneuver dictionaries for ground robot planning
Sermanet, P., Scoffier, M., Crudele, C., Muller, U. & LeCun, Y., 2008, p. 962-967. 6 p.
Research output: Contribution to conference › Paper › peer-review
1999
Color documents on the web with DjVu
Haffner, P., LeCun, Y., Bottou, L., Howard, P., Vincent, P. & Riemers, B., 1999, p. 239-243. 5 p.
Research output: Contribution to conference › Paper › peer-review
1998
Browsing through high quality document images with DjVu
Haffner, P., Bottou, L., Howard, P. G., Simard, P., Bengio, Y. & Cun, Y. L., 1998, p. 309-318. 10 p.
Research output: Contribution to conference › Paper › peer-review
DjVu: A compression method for distributing scanned documents in color over the Internet
LeCun, Y., Bottou, L., Haffner, P. & Howard, P. G., 1998, p. 220-223. 4 p.
Research output: Contribution to conference › Paper › peer-review
1997
DISCRIMINATIVE FEATURE AND MODEL DESIGN FOR AUTOMATIC SPEECH RECOGNITION
Rahim, M., Bengio, Y. & LeCun, Y., 1997, p. 75-78. 4 p.
Research output: Contribution to conference › Paper › peer-review
On the application of multimedia processing to telecommunications
Cox, R., Haskell, B., LeCun, Y., Shahraray, B. & Rabiner, L., 1997, p. 5-8. 4 p.
Research output: Contribution to conference › Paper › peer-review
1990
Hardware requirements for neural-net optical character recognition
Jackel, L. D., Boser, B., Denker, J. S., Graf, H. P., Le Cun, Y., Guyon, I., Henderson, D., Howard, R. E., Hubbard, W. & Solla, S. A., 1990, p. 855-861. 7 p.
Research output: Contribution to conference › Paper › peer-review
1989
Comparing different neural network architectures for classifying handwritten digits
Guyon, I., Poujaud, I., Personnaz, L., Dreyfus, G., Denker, J. & Le Cun, Y., 1989, p. 127-132. 6 p.
Research output: Contribution to conference › Paper › peer-review
1987
EVALUATION OF NETWORK ARCHITECTURES ON TEST LEARNING TASKS.
Fogelman Soulie, F., Gallinari, P., Le Cun, Y. & Thiria, S., 1987, p. ii/653-660.
Research output: Contribution to conference › Paper › peer-review

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