Vol. 64, No. 3, 2021 Cover Contents

Special Focus on Weakly Supervised Learning
RESEARCH PAPER Website SpringerLink Google Scholar Cited in SCI: 2

Learning from group supervision: the impact of supervision deficiency on multi-label learning
Xu, Miao; Guo, Lan-Zhe
Sci China Inf Sci, 2021, 64(3): 130101
Keywords: multi-label learning; weakly supervised leaning; weakly supervised multi-label learning; query strategy; group supervision
Cite as: Xu M, Guo L-Z. Learning from group supervision: the impact of supervision deficiency on multi-label learning. Sci China Inf Sci, 2021, 64(3): 130101, doi: 10.1007/s11432-020-3132-4

Special Focus on Weakly Supervised Learning
RESEARCH PAPER Website SpringerLink Google Scholar Cited in SCI: 1

Deep multiple instance selection
Li, Xin-Chun; Zhan, De-Chuan; Yang, Jia-Qi; Shi, Yi
Sci China Inf Sci, 2021, 64(3): 130102
Keywords: multiple instance learning; instance selection; gumbel softmax; variance normalization; hard attention
Cite as: Li X-C, Zhan D-C, Yang J-Q, et al. Deep multiple instance selection. Sci China Inf Sci, 2021, 64(3): 130102, doi: 10.1007/s11432-020-3117-3

Special Focus on Weakly Supervised Learning
RESEARCH PAPER Website SpringerLink Google Scholar Cited in SCI: 0

Few-shot text classification by leveraging bi-directional attention and cross-class knowledge
Pang, Ning; Zhao, Xiang; Wang, Wei; Xiao, Weidong; Guo, Deke
Sci China Inf Sci, 2021, 64(3): 130103
Keywords: text classification; meta-learning; few-shot learning; bi-directional attention; cross-class knowledge
Cite as: Pang N, Zhao X, Wang W, et al. Few-shot text classification by leveraging bi-directional attention and cross-class knowledge. Sci China Inf Sci, 2021, 64(3): 130103, doi: 10.1007/s11432-020-3055-1

Special Focus on Weakly Supervised Learning
RESEARCH PAPER Website SpringerLink Google Scholar Cited in SCI: 0

Crowdsourcing aggregation with deep Bayesian learning
Li, Shao-Yuan; Huang, Sheng-Jun; Chen, Songcan
Sci China Inf Sci, 2021, 64(3): 130104
Keywords: crowdsourcing; classification; fully Bayesian deep generative models; natural gradient; stochastic variational inference
Cite as: Li S-Y, Huang S-J, Chen S C. Crowdsourcing aggregation with deep Bayesian learning. Sci China Inf Sci, 2021, 64(3): 130104, doi: 10.1007/s11432-020-3118-7

Special Focus on Weakly Supervised Learning
RESEARCH PAPER Website SpringerLink Google Scholar Cited in SCI: 1

Deep graph cut network for weakly-supervised semantic segmentation
Feng, Jiapei; Wang, Xinggang; Liu, Wenyu
Sci China Inf Sci, 2021, 64(3): 130105
Keywords: semantic segmentation; weakly-supervised learning; semi-supervised learning; graph cut
Cite as: Feng J P, Wang X G, Liu W Y. Deep graph cut network for weakly-supervised semantic segmentation. Sci China Inf Sci, 2021, 64(3): 130105, doi: 10.1007/s11432-020-3065-4