From the 1 of 140 linked papers with an AI index.
3.7k citations · 25.2k across the 137 of their papers we have counts for
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Prediction Under Uncertainty with Error-Encoding Networks
Mikael Henaff, Junbo Zhao, Yann LeCun
In this work we introduce a new framework for performing temporal predictions in the presence of uncertainty. It is based on a simple idea of disentangling components of the future…
A Closer Look at Spatiotemporal Convolutions for Action Recognition
Du Tran, Heng Wang, Lorenzo Torresani +3
In this paper we discuss several forms of spatiotemporal convolutions for video analysis and study their effects on action recognition. Our motivation stems from the observation th…
A hierarchical loss and its problems when classifying non-hierarchically
Cinna Wu, Mark Tygert, Yann LeCun
Failing to distinguish between a sheepdog and a skyscraper should be worse and penalized more than failing to distinguish between a sheepdog and a poodle; after all, sheepdogs and…
Which Encoding is the Best for Text Classification in Chinese, English, Japanese and Korean?
Xiang Zhang, Yann LeCun
This article offers an empirical study on the different ways of encoding Chinese, Japanese, Korean (CJK) and English languages for text classification. Different encoding levels ar…
Adversarially Regularized Autoencoders
Jake Zhao, Yoon Kim, Kelly Zhang +2
Deep latent variable models, trained using variational autoencoders or generative adversarial networks, are now a key technique for representation learning of continuous structures…
Model-Based Planning with Discrete and Continuous Actions
Mikael Henaff, William F. Whitney, Yann LeCun
Action planning using learned and differentiable forward models of the world is a general approach which has a number of desirable properties, including improved sample complexity…