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Rethinking the Usage of Batch Normalization and Dropout in the Training of Deep Neural Networks.

G. Chen, P. Chen, Y. Shi, C. Hsieh, B. Liao, and S. Zhang. CoRR, (2019)

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Yujun Zhang

Huili Shi

Lei Shi

Zhanjun Shi

Jian Shi

Other publications of authors with the same name

Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning.Y. Shi, J. Liang, W. Zhang, V. Tan, and S. Bai. CoRR, (2022)Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning.Y. Shi, K. Zhou, J. Liang, Z. Jiang, J. Feng, P. Torr, S. Bai, and V. Tan. CVPR, page 16701-16710. IEEE, (2022)Second-Order Polynomial Equation-Based Block Adjustment for Orthorectification of DISP Imagery.G. Zhou, T. Yue, Y. Shi, R. Zhang, and J. Huang. Remote. Sens., 8 (8): 680 (2016)Refiner: Refining Self-attention for Vision Transformers.D. Zhou, Y. Shi, B. Kang, W. Yu, Z. Jiang, L. Yuan, X. Jin, Q. Hou, and J. Feng. CoRR, (2021)Leveraging Instance-, Image- and Dataset-Level Information for Weakly Supervised Instance Segmentation.Y. Liu, Y. Wu, P. Wen, Y. Shi, Y. Qiu, and M. Cheng. IEEE Trans. Pattern Anal. Mach. Intell., 44 (3): 1415-1428 (2022)Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet.L. Yuan, Y. Chen, T. Wang, W. Yu, Y. Shi, Z. Jiang, F. Tay, J. Feng, and S. Yan. ICCV, page 538-547. IEEE, (2021)Envision3D: One Image to 3D with Anchor Views Interpolation.Y. Pang, T. Jia, Y. Shi, Z. Tang, J. Zhang, X. Cheng, X. Zhou, F. Tay, and L. Yuan. CoRR, (2024)Predictive Flux-linkage Control for Novel Dual-Permanent-Magnet-Excited Machines.Q. Ye, Y. Shi, Z. Deng, and L. Jian. ICIA, page 173-177. IEEE, (2018)Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning.Y. Shi, K. Zhou, J. Liang, Z. Jiang, J. Feng, P. Torr, S. Bai, and V. Tan. CoRR, (2021)Understanding Adversarial Behavior of DNNs by Disentangling Non-Robust and Robust Components in Performance Metric.Y. Shi, B. Liao, G. Chen, Y. Liu, M. Cheng, and J. Feng. CoRR, (2019)

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Disambiguation of "Shi, Yujun"

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Rethinking the Usage of Batch Normalization and Dropout in the Training of Deep Neural Networks.

Please choose a person to relate this publication to

Yujun Zhang

Huili Shi

Lei Shi

Zhanjun Shi

Jian Shi

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Shi, Yujun"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Rethinking the Usage of Batch Normalization and Dropout in the Training of Deep Neural Networks.

Please choose a person to relate this publication to

Yujun Zhang

Huili Shi

Lei Shi

Zhanjun Shi

Jian Shi

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Rethinking the Usage of Batch Normalization and Dropout in the Training of Deep Neural Networks.