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Modern computer vision algorithms often rely on very large training datasets.
The mnist database of handwritten digits
Y. LeCun · 1998
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Support vector machine active learning with applications to text classification
S. Tong and D. Koller · 2001
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Multilabel svm active learning for image classification
X. Li, L. Wang, and E. Sung · 2004
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A. I. Schein and L. H. Ungar · 2007
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Discriminative batch mode active learning
Y. Guo and D. Schuurmans · 2008
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Imagenet: A large-scale hierarchical image database
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei · 2009
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Learning multiple layers of features from tiny images
A. Krizhevsky and G. Hinton · 2009
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Dataset Shift in Machine Learning
J. Quionero-Candela, M. Sugiyama, A. Schwaighofer, and N. D. Lawrence · 2009
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Unbiased look at dataset bias
A. Torralba and A. A. Efros · 2011
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Undoing the damage of dataset bias
A. Khosla, T. Zhou, T. Malisiewicz, A. A. Efros, and A. Torralba · 2012
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Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
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Active learning
B. Settles · 2012
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Detecting avocados to zucchinis: what have we done, and where are we going?
O. Russakovsky, J. Deng, Z. Huang, A. C. Berg, and L. Fei-Fei · 2013
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Delving deep into rectifiers: Surpassing human-level performance on imagenet classification
K. He, X. Zhang, S. Ren, and J. Sun · 2015
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Man is to computer programmer as woman is to homemaker? debiasing word embeddings
T. Bolukbasi, K.-W. Chang, J. Y. Zou, V. Saligrama, and A. T. Kalai · 2016
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Stacked hourglass networks for human pose estimation
A. Newell, K. Yang, and J. Deng · 2016
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Image-to-image translation with conditional adversarial networks
P. Isola, J.-Y. Zhu, T. Zhou, and A. A. Efros · 2017
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No classification without representation: Assessing geodiversity issues in open data sets for the developing world
S. Shankar, Y. Halpern, E. Breck, J. Atwood, J. Wilson, and D. Sculley · 2017
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Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs
L.-C. Chen, G. Papandreou, I. Kokkinos, K. Murphy, and A. L. Yuille · 2018
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Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2015
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Querying discriminative and representative samples for batch mode active learning
Z. Wang and J. Ye · 2015
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M. Ducoffe and F. Precioso · 2018
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Cost-effective training of deep cnns with active model adaptation
S.-J. Huang, J.-W. Zhao, and Z.-Y. Liu · 2018
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Active learning for convolutional neural networks: A core-set approach
O. Sener and S. Savarese · 2018
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