1. CMD: controllable matrix decomposition with global optimization for deep neural network compression

   • Haonan Zhang
   • Longjun Liu
   • Nanning Zheng

   OriginalPaper 06 January 2022 Pages: 831 - 851

   

2. The flowing nature matters: feature learning from the control flow graph of source code for bug localization

   • Yi-Fan Ma
   • Ming Li

   OriginalPaper 17 February 2022 Pages: 853 - 870

   

3. Online strongly convex optimization with unknown delays

   • Yuanyu Wan
   • Wei-Wei Tu
   • Lijun Zhang

   OriginalPaper 03 January 2022 Pages: 871 - 893

   

4. On the benefits of representation regularization in invariance based domain generalization

   • Changjian Shui
   • Boyu Wang
   • Christian Gagné

   OriginalPaper Open access 01 January 2022 Pages: 895 - 915

   

5. A study of BERT for context-aware neural machine translation

   • Xueqing Wu
   • Yingce Xia
   • Tao Qin

   OriginalPaper 09 January 2022 Pages: 917 - 935

   

6. Worst-case regret analysis of computationally budgeted online kernel selection

   • Junfan Li
   • Shizhong Liao

   OriginalPaper 22 January 2022 Pages: 937 - 976

   

7. Improve generated adversarial imitation learning with reward variance regularization

   • Yi-Feng Zhang
   • Fan-Ming Luo
   • Yang Yu

   OriginalPaper 03 January 2022 Pages: 977 - 995

   

8. Improving kernel online learning with a snapshot memory

   • Trung Le
   • Khanh Nguyen
   • Dinh Phung

   OriginalPaper 07 January 2022 Pages: 997 - 1018

   

9. Bayesian optimization with partially specified queries

   • Shogo Hayashi
   • Junya Honda
   • Hisashi Kashima

   OriginalPaper Open access 01 January 2022 Pages: 1019 - 1048

   

10. Multiple partitions alignment via spectral rotation

    • Shudong Huang
    • Ivor W. Tsang
    • Jiancheng Lv

    OriginalPaper 06 January 2022 Pages: 1049 - 1072

    

11. Switching: understanding the class-reversed sampling in tail sample memorization

    • Chi Zhang
    • Benyi Hu
    • Yuehu Liu

    OriginalPaper 07 January 2022 Pages: 1073 - 1101

    

12. Improving deep label noise learning with dual active label correction

    • Shao-Yuan Li
    • Ye Shi
    • Songcan Chen

    OriginalPaper 06 January 2022 Pages: 1103 - 1124

    

13. Exploring the common principal subspace of deep features in neural networks

    • Haoran Liu
    • Haoyi Xiong
    • Dongrui Wu

    OriginalPaper 06 January 2022 Pages: 1125 - 1157

    

14. Towards interpreting deep neural networks via layer behavior understanding

    • Jiezhang Cao
    • Jincheng Li
    • Mingkui Tan

    OriginalPaper 28 January 2022 Pages: 1159 - 1179

    

15. End-to-end entity-aware neural machine translation

    • Shufang Xie
    • Yingce Xia
    • Tao Qin

    OriginalPaper 13 January 2022 Pages: 1181 - 1203