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ShakeDrop Regularization for Deep Residual Learning

7 February 2018

Papers citing "ShakeDrop Regularization for Deep Residual Learning"

50 / 67 papers shown

Title
AdvLogo: Adversarial Patch Attack against Object Detectors based on Diffusion Models Boming Miao Chunxiao Li Yao Zhu Weixiang Sun Zizhe Wang Xiaoyi Wang Chuanlong Xie DiffM AAML 166 1 0 11 Sep 2024
Development of Skip Connection in Deep Neural Networks for Computer Vision and Medical Image Analysis: A Survey Guoping Xu Xiaxia Wang Xinglong Wu Xuesong Leng Yongchao Xu 3DPC 95 11 0 02 May 2024
Efficient Higher-order Convolution for Small Kernels in Deep Learning Zuocheng Wen Lingzhong Guo 36 0 0 25 Apr 2024
BlackboxBench: A Comprehensive Benchmark of Black-box Adversarial Attacks Meixi Zheng Xuanchen Yan Zihao Zhu Hongrui Chen Baoyuan Wu ELM MLAU AAML 99 8 0 28 Dec 2023
Unproportional mosaicing Vojtech Molek P. Hurtík Pavel Vlasánek D. Adamczyk 58 1 0 03 Mar 2023
Color-NeuraCrypt: Privacy-Preserving Color-Image Classification Using Extended Random Neural Networks Zheng Qi AprilPyone Maungmaung Hitoshi Kiya 61 2 0 12 Jan 2023
Macro-block dropout for improved regularization in training end-to-end speech recognition models Chanwoo Kim Sathish Indurti Jinhwan Park Wonyong Sung 56 0 0 29 Dec 2022
Bootstrap Generalization Ability from Loss Landscape Perspective Huanran Chen Shitong Shao Ziyi Wang Zirui Shang Jin Chen Xiaofeng Ji Xinxiao Wu OOD 134 19 0 18 Sep 2022
Exploring Temporally Dynamic Data Augmentation for Video Recognition Taeoh Kim Jinhyung Kim Minho Shim Sangdoo Yun Myunggu Kang Dongyoon Wee Sangyoun Lee AI4TS 116 10 0 30 Jun 2022
A Survey of Automated Data Augmentation Algorithms for Deep Learning-based Image Classification Tasks Z. Yang Richard Sinnott James Bailey Qiuhong Ke 80 45 0 14 Jun 2022
Privacy-Preserving Image Classification Using Vision Transformer Zheng Qi AprilPyone Maungmaung Yuma Kinoshita Hitoshi Kiya ViT 72 19 0 24 May 2022
A Survey on Dropout Methods and Experimental Verification in Recommendation Yongqian Li Weizhi Ma C. L. Philip Chen Hao Fei Yiqun Liu Shaoping Ma Yue Yang 88 11 0 05 Apr 2022
A Pixel-based Encryption Method for Privacy-Preserving Deep Learning Models Ijaz Ahmad Seokjoo Shin 49 6 0 31 Mar 2022
TeachAugment: Data Augmentation Optimization Using Teacher Knowledge Teppei Suzuki ViT 81 50 0 25 Feb 2022
Avoiding Overfitting: A Survey on Regularization Methods for Convolutional Neural Networks C. F. G. Santos João Paulo Papa 82 232 0 10 Jan 2022
Saliency Grafting: Innocuous Attribution-Guided Mixup with Calibrated Label Mixing Joonhyung Park J. Yang Jinwoo Shin Sung Ju Hwang Eunho Yang 70 24 0 16 Dec 2021
Finding Optimal Tangent Points for Reducing Distortions of Hard-label Attacks Chen Ma Xiangyu Guo Li Chen Junhai Yong Yisen Wang AAML 80 16 0 15 Nov 2021
Improving Model Generalization by Agreement of Learned Representations from Data Augmentation Rowel Atienza ViT 146 9 0 20 Oct 2021
DAAS: Differentiable Architecture and Augmentation Policy Search Xiaoxing Wang Xiangxiang Chu Junchi Yan Xiaokang Yang 49 5 0 30 Sep 2021
CAM-loss: Towards Learning Spatially Discriminative Feature Representations Chaofei Wang J. Xiao Yizeng Han Qisen Yang S. Song Gao Huang 65 22 0 03 Sep 2021
Omnizart: A General Toolbox for Automatic Music Transcription Yu-Te Wu Yin-Jyun Luo Tsung-Ping Chen I-Chieh Wei Jui-Yang Hsu Yi-Chin Chuang Li Su SyDa 65 31 0 01 Jun 2021
MutualNet: Adaptive ConvNet via Mutual Learning from Different Model Configurations Taojiannan Yang Sijie Zhu Matías Mendieta Pu Wang Ravikumar Balakrishnan Minwoo Lee T. Han M. Shah Chong Chen 3DH OOD 102 24 0 14 May 2021
FocusedDropout for Convolutional Neural Network Tianshu Xie Minghui Liu Jiali Deng Xuan Cheng Xiaomin Wang Meilin Liu 40 10 0 29 Mar 2021
Selective Output Smoothing Regularization: Regularize Neural Networks by Softening Output Distributions Xuan Cheng Tianshu Xie Xiaomin Wang Qifeng Weng Minghui Liu Jiali Deng Meilin Liu 66 0 0 29 Mar 2021
ASAM: Adaptive Sharpness-Aware Minimization for Scale-Invariant Learning of Deep Neural Networks Jungmin Kwon Jeongseop Kim Hyunseong Park I. Choi 126 291 0 23 Feb 2021
Out-distribution aware Self-training in an Open World Setting Maximilian Augustin Matthias Hein 52 7 0 21 Dec 2020
Backpropagating Linearly Improves Transferability of Adversarial Examples Yiwen Guo Qizhang Li Hao Chen FedML AAML 82 116 0 07 Dec 2020
Towards Better Accuracy-efficiency Trade-offs: Divide and Co-training Shuai Zhao Liguang Zhou Wenxiao Wang D. Cai Tin Lun Lam Yangsheng Xu 99 32 0 30 Nov 2020
Delving Deep into Label Smoothing Chang-Bin Zhang Peng-Tao Jiang Qibin Hou Yunchao Wei Qi Han Zhen Li Ming-Ming Cheng 127 215 0 25 Nov 2020
KeepAugment: A Simple Information-Preserving Data Augmentation Approach Chengyue Gong Dilin Wang Meng Li Vikas Chandra Qiang Liu 91 115 0 23 Nov 2020
Regularizing Neural Networks via Adversarial Model Perturbation Yaowei Zheng Richong Zhang Yongyi Mao AAML 107 99 0 10 Oct 2020
On the Orthogonality of Knowledge Distillation with Other Techniques: From an Ensemble Perspective Seonguk Park Kiyoon Yoo Nojun Kwak FedML 45 3 0 09 Sep 2020
Simulating Unknown Target Models for Query-Efficient Black-box Attacks Chen Ma Lixing Chen Junhai Yong MLAU OOD 93 17 0 02 Sep 2020
Learning Temporally Invariant and Localizable Features via Data Augmentation for Video Recognition Taeoh Kim Hyeongmin Lee Myeongah Cho Hankook Lee Dong Heon Cho Sangyoun Lee 83 26 0 13 Aug 2020
Rethinking Recurrent Neural Networks and Other Improvements for Image Classification N. H. Phong B. Ribeiro VLM 71 8 0 30 Jul 2020
Auto-PyTorch Tabular: Multi-Fidelity MetaLearning for Efficient and Robust AutoDL Lucas Zimmer Marius Lindauer Frank Hutter MU 129 92 0 24 Jun 2020
On the Generalization Effects of Linear Transformations in Data Augmentation Sen Wu Hongyang R. Zhang Gregory Valiant Christopher Ré 86 78 0 02 May 2020
Rethinking Data Augmentation for Image Super-resolution: A Comprehensive Analysis and a New Strategy Jaejun Yoo Namhyuk Ahn Kyung-ah Sohn SupR 51 155 0 01 Apr 2020
Circumventing Outliers of AutoAugment with Knowledge Distillation Longhui Wei Anxiang Xiao Lingxi Xie Xin Chen Xiaopeng Zhang Qi Tian 80 62 0 25 Mar 2020
Meta Pseudo Labels Hieu H. Pham Zihang Dai Qizhe Xie Minh-Thang Luong Quoc V. Le VLM 368 673 0 23 Mar 2020
An Empirical Evaluation on Robustness and Uncertainty of Regularization Methods Sanghyuk Chun Seong Joon Oh Sangdoo Yun Dongyoon Han Junsuk Choe Y. Yoo AAML OOD 427 54 0 09 Mar 2020
DADA: Differentiable Automatic Data Augmentation Yonggang Li Guosheng Hu Yongtao Wang Timothy M. Hospedales N. Robertson Yongxin Yang 90 110 0 08 Mar 2020
FMix: Enhancing Mixed Sample Data Augmentation Ethan Harris Antonia Marcu Matthew Painter M. Niranjan Adam Prugel-Bennett Jonathon S. Hare AAML 79 26 0 27 Feb 2020
On Feature Normalization and Data Augmentation Boyi Li Felix Wu Ser-Nam Lim Serge J. Belongie Kilian Q. Weinberger 56 137 0 25 Feb 2020
Block-wise Scrambled Image Recognition Using Adaptation Network Koki Madono Masayuki Tanaka Masaki Onishi T. Ogawa PICV 62 45 0 21 Jan 2020
Rethinking Curriculum Learning with Incremental Labels and Adaptive Compensation Madan Ravi Ganesh Jason J. Corso ODL 60 10 0 13 Jan 2020
On the Regularization Properties of Structured Dropout Ambar Pal Connor Lane René Vidal B. Haeffele 134 14 0 30 Oct 2019
Convolutional Neural Networks with Dynamic Regularization Yi Wang Zhen-Peng Bian Junhui Hou Lap-Pui Chau 36 21 0 26 Sep 2019
Adaptive Regularization of Labels Qianggang Ding Sifan Wu Hao Sun Jiadong Guo Shutao Xia ODL 60 29 0 15 Aug 2019
DropAttention: A Regularization Method for Fully-Connected Self-Attention Networks Zehui Lin Pengfei Liu Luyao Huang Junkun Chen Xipeng Qiu Xuanjing Huang 3DPC 70 46 0 25 Jul 2019