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The YouTube-8M video classification challenge requires teams to classify 0.7 million videos into one or more of 4,716 classes.
Efficient estimation of word representations in vector space
T. Mikolov, K. Chen, G. Corrado, and J. Dean · 2013
Earlier work this paper cites.
Linguistic regularities in continuous space word representations
T. Mikolov, W.-t. Yih, and G. Zweig · 2013
Earlier work this paper cites.
Large-scale video classification with convolutional neural networks
A. Karpathy, G. Toderici, S. Shetty, T. Leung, R. Sukthankar, and L. Fei-Fei · 2014
Earlier work this paper cites.
Convolutional neural networks for sentence classification
Y. Kim · 2014
Cited alongside, same era.
Activitynet: A large-scale video benchmark for human activity understanding
F. Caba Heilbron, V. Escorcia, B. Ghanem, and J. Carlos Niebles · 2015
Cited alongside, same era.
word2vec
Cited in the paper.
Youtube-8m: A large-scale video classification benchmark
S. Abu-El-Haija, N. Kothari, J. Lee, P. Natsev, G. Toderici, B. Varadarajan, and S. Vijayanarasimhan · 2016
Later among the works it cites.
Cnn architectures for large-scale audio classification, ICCASP, 2017
S. H. et.al · 2017
Closest in time.
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