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This paper presents one-bit supervision, a novel setting of learning from incomplete annotations, in the scenario of image classification.
Training connectionist networks with queries and selective sampling
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Imagenet: A large-scale hierarchical image database
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Deep learning
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K. He, X. Zhang, S. Ren, and J. Sun · 2016
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D. P. Papadopoulos, J. R. Uijlings, F. Keller, and V. Ferrari · 2016
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S. Ravi and H. Larochelle · 2016
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Cost-effective active learning for deep image classification
T. Furlanello, Z. C. Lipton, M. Tschannen, L. Itti, and A. Anandkumar · 2018
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Virtual adversarial training: a regularization method for supervised and semi-supervised learning
T. Miyato, S.-i. Maeda, M. Koyama, and S. Ishii · 2018
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Deep co-training for semi-supervised image recognition
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Knowledge distillation in generations: More tolerant teachers educate better students
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Mixmatch: A holistic approach to semi-supervised learning
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K. Wang, D. Zhang, Y. Li, R. Zhang, and L. Lin · 2016
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Deep interactive object selection
N. Xu, B. Price, S. Cohen, J. Yang, and T. S. Huang · 2016
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S. Zagoruyko and N. Komodakis · 2016
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X. Gastaldi · 2017
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Densely connected convolutional networks
G. Huang, Z. Liu, L. Van Der Maaten, and K. Q. Weinberger · 2017
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Training object class detectors with click supervision
D. P. Papadopoulos, J. R. Uijlings, F. Keller, and V. Ferrari · 2017
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Active learning for convolutional neural networks: A core-set approach
O. Sener and S. Savarese · 2017
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Label propagation for deep semi-supervised learning
A. Iscen, G. Tolias, Y. Avrithis, and O. Chum · 2019
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Batchbald: Efficient and diverse batch acquisition for deep bayesian active learning
A. Kirsch, J. van Amersfoort, and Y. Gal · 2019
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Bayesian batch active learning as sparse subset approximation
R. Pinsler, J. Gordon, E. Nalisnick, and J. M. Hernández-Lobato · 2019
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Integrating bayesian and discriminative sparse kernel machines for multi-class active learning
W. Shi and Q. Yu · 2019
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Learning loss for active learning
D. Yoo and I. S. Kweon · 2019
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Tangent-normal adversarial regularization for semi-supervised learning
B. Yu, J. Wu, J. Ma, and Z. Zhu · 2019
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Creating something from nothing: Unsupervised knowledge distillation for cross-modal hashing
H. Hu, L. Xie, R. Hong, and Q. Tian · 2020
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Robust triple-matrix-recovery-based auto-weighted label propagation for classification
H. Zhang, Z. Zhang, M. Zhao, Q. Ye, M. Zhang, and M. Wang · 2020
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