Weakly Supervised Representation Learning

In this topical collection (13 articles)

1. OriginalPaper

   Machine truth serum: a surprisingly popular approach to improving ensemble methods

   Tianyi Luo, Yang Liu Pages 789-815

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2. OriginalPaper

   DAFS: a domain aware few shot generative model for event detection

   Nan Xia, Hang Yu, Yin Wang, Junyu Xuan, Xiangfeng Luo Pages 1011-1031

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3. OriginalPaper

   Troubleshooting image segmentation models with human-in-the-loop

   Haotao Wang, Tianlong Chen, Zhangyang Wang, Kede Ma Pages 1033-1051

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4. OriginalPaper

   Beyond confusion matrix: learning from multiple annotators with awareness of instance features

   Jingzheng Li, Hailong Sun, Jiyi Li Pages 1053-1075

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5. OriginalPaper

   Learning from crowds with sparse and imbalanced annotations

   Ye Shi, Shao-Yuan Li, Sheng-Jun Huang Pages 1823-1845

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6. OriginalPaper

   A viable framework for semi-supervised learning on realistic dataset

   Hao Chang, Guochen Xie, Jun Yu, Qiang Ling, Fang Gao, Ye Yu Pages 1847-1869

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7. OriginalPaper

   An instance-dependent simulation framework for learning with label noise

   Keren Gu, Xander Masotto, Vandana Bachani, Balaji Lakshminarayanan… Pages 1871-1896

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8. OriginalPaper

   Learning from self-discrepancy via multiple co-teaching for cross-domain person re-identification

   Suncheng Xiang, Yuzhuo Fu, Mengyuan Guan, Ting Liu Pages 1923-1940

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9. OriginalPaper

   Shift of pairwise similarities for data clustering

   Morteza Haghir Chehreghani Pages 2025-2051

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10. OriginalPaper

    Distilling ensemble of explanations for weakly-supervised pre-training of image segmentation models

    Xuhong Li, Haoyi Xiong, Yi Liu, Dingfu Zhou, Zeyu Chen, Yaqing Wang… Pages 2193-2209

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11. OriginalPaper

    Information bottleneck and selective noise supervision for zero-shot learning

    Lei Zhou, Yang Liu, Pengcheng Zhang, Xiao Bai, Lin Gu, Jun Zhou… Pages 2239-2261

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12. OriginalPaper

    Model-free inverse reinforcement learning with multi-intention, unlabeled, and overlapping demonstrations

    Ariyan Bighashdel, Pavol Jancura, Gijs Dubbelman Pages 2263-2296

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13. OriginalPaper

    Autoencoding slow representations for semi-supervised data-efficient regression

    Oliver Struckmeier, Kshitij Tiwari, Ville Kyrki Pages 2297-2315

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