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20112025
most citedDistilling the Knowledge in a Neural Network

14.1k citations · 89.2k across the 108 of their papers we have counts for

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Showing 2014Show all

6 papers · 1 filter

cs.CL2014★ 404 cited

Grammar as a Foreign Language

Oriol Vinyals, Lukasz Kaiser, Terry Koo +3

Syntactic constituency parsing is a fundamental problem in natural language processing and has been the subject of intensive research and engineering for decades. As a result, the…

cs.NE2014★ 198 cited

Qualitatively characterizing neural network optimization problems

Ian J. Goodfellow, Oriol Vinyals, Andrew M. Saxe

Training neural networks involves solving large-scale non-convex optimization problems. This task has long been believed to be extremely difficult, with fear of local minima and ot…

cs.CV2014★ 185 cited

Show and Tell: A Neural Image Caption Generator

Oriol Vinyals, Alexander Toshev, Samy Bengio +1

Automatically describing the content of an image is a fundamental problem in artificial intelligence that connects computer vision and natural language processing. In this paper, w…

cs.CL2014★ 107 cited

Addressing the Rare Word Problem in Neural Machine Translation

Minh-Thang Luong, Ilya Sutskever, Quoc V. Le +2

Neural Machine Translation (NMT) is a new approach to machine translation that has shown promising results that are comparable to traditional approaches. A significant weakness in…

cs.CL2014★ 13.4k cited

Sequence to Sequence Learning with Neural Networks

Ilya Sutskever, Oriol Vinyals, Quoc V. Le

Deep Neural Networks (DNNs) are powerful models that have achieved excellent performance on difficult learning tasks. Although DNNs work well whenever large labeled training sets a…

cs.NE2014★ 2.3k cited

Recurrent Neural Network Regularization

Wojciech Zaremba, Ilya Sutskever, Oriol Vinyals

We present a simple regularization technique for Recurrent Neural Networks (RNNs) with Long Short-Term Memory (LSTM) units. Dropout, the most successful technique for regularizing…