Special Issue of the ACML 2021 Journal Track

Articles (11 in this collection)

1. Towards interpreting deep neural networks via layer behavior understanding

   Authors (first, second and last of 5)

   • Jiezhang Cao
   • Jincheng Li
   • Mingkui Tan

   • Content type: OriginalPaper
   • Published: 28 January 2022

   • Pages: 1159 - 1179

   

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

   Authors (first, second and last of 6)

   • Xueqing Wu
   • Yingce Xia
   • Tao Qin

   • Content type: OriginalPaper
   • Published: 09 January 2022

   • Pages: 917 - 935

   

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

   Authors (first, second and last of 6)

   • Chi Zhang
   • Benyi Hu
   • Yuehu Liu

   • Content type: OriginalPaper
   • Published: 07 January 2022

   • Pages: 1073 - 1101

   

4. Improving kernel online learning with a snapshot memory

   Authors

   • Trung Le
   • Khanh Nguyen
   • Dinh Phung

   • Content type: OriginalPaper
   • Published: 07 January 2022

   • Pages: 997 - 1018

   

5. Multiple partitions alignment via spectral rotation

   Authors (first, second and last of 4)

   • Shudong Huang
   • Ivor W. Tsang
   • Jiancheng Lv

   • Content type: OriginalPaper
   • Published: 06 January 2022

   • Pages: 1049 - 1072

   

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

   Authors (first, second and last of 4)

   • Shao-Yuan Li
   • Ye Shi
   • Songcan Chen

   • Content type: OriginalPaper
   • Published: 06 January 2022

   • Pages: 1103 - 1124

   

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

   Authors (first, second and last of 5)

   • Haonan Zhang
   • Longjun Liu
   • Nanning Zheng

   • Content type: OriginalPaper
   • Published: 06 January 2022

   • Pages: 831 - 851

   

8. Improve generated adversarial imitation learning with reward variance regularization

   Authors

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

   • Content type: OriginalPaper
   • Published: 03 January 2022

   • Pages: 977 - 995

   

9. Online strongly convex optimization with unknown delays

   Authors

   • Yuanyu Wan
   • Wei-Wei Tu
   • Lijun Zhang

   • Content type: OriginalPaper
   • Published: 03 January 2022

   • Pages: 871 - 893

   

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

    Authors

    • Changjian Shui
    • Boyu Wang
    • Christian Gagné

    • Content type: OriginalPaper
    • Open Access
    • Published: 01 January 2022

    • Pages: 895 - 915

    

11. Bayesian optimization with partially specified queries

    Authors

    • Shogo Hayashi
    • Junya Honda
    • Hisashi Kashima

    • Content type: OriginalPaper
    • Open Access
    • Published: 01 January 2022

    • Pages: 1019 - 1048