Shake-Shake regularization

21 May 2017

Papers citing "Shake-Shake regularization"

50 / 71 papers shown

Title
EntAugment: Entropy-Driven Adaptive Data Augmentation Framework for Image Classification Suorong Yang F. Shen Jian Zhao AAML 29 1 0 10 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 34 8 0 02 May 2024
Convection-Diffusion Equation: A Theoretically Certified Framework for Neural Networks Tangjun Wang Chenglong Bao Zuoqiang Shi DiffM 38 0 0 23 Mar 2024
Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods A. Mumuni F. Mumuni 65 5 0 13 Mar 2024
DiffsFormer: A Diffusion Transformer on Stock Factor Augmentation Yuan Gao Haokun Chen Xiang Wang Zhicai Wang Xue Wang Jinyang Gao Bolin Ding 40 6 0 05 Feb 2024
$Color-$S^{4}L$: Self-supervised Semi-supervised Learning with Image Colorization$ Color- $S^{4}L$ : Self-supervised Semi-supervised Learning with Image Colorization Hanxiao Chen SSL VLM 14 2 0 08 Jan 2024
LatentAugment: Dynamically Optimized Latent Probabilities of Data Augmentation K. Kuriyama 24 1 0 04 May 2023
LA3: Efficient Label-Aware AutoAugment Mingjun Zhao Sha Lu Zixuan Wang Xiaoli Wang Di Niu 14 1 0 20 Apr 2023
Unproportional mosaicing Vojtech Molek P. Hurtík Pavel Vlasánek D. Adamczyk 21 1 0 03 Mar 2023
Pathologies of Predictive Diversity in Deep Ensembles Taiga Abe E. Kelly Buchanan Geoff Pleiss John P. Cunningham UQCV 38 13 0 01 Feb 2023
AdvMask: A Sparse Adversarial Attack Based Data Augmentation Method for Image Classification Suorong Yang Jinqiao Li Jian Zhao S. Furao AAML 25 6 0 29 Nov 2022
On the Informativeness of Supervision Signals Ilia Sucholutsky Ruairidh M. Battleday Katherine M. Collins Raja Marjieh Joshua C. Peterson Pulkit Singh Umang Bhatt Nori Jacoby Adrian Weller Thomas L. Griffiths 22 12 0 02 Nov 2022
EMOCA: Emotion Driven Monocular Face Capture and Animation Radek Daněček Michael J. Black Timo Bolkart CVBM 3DH 25 198 0 24 Apr 2022
Estimating Structural Disparities for Face Models Shervin Ardeshir Cristina Segalin Nathan Kallus CVBM 25 5 0 13 Apr 2022
A Survey on Dropout Methods and Experimental Verification in Recommendation Y. Li Weizhi Ma C. L. Philip Chen M. Zhang Yiqun Liu Shaoping Ma Yue Yang 33 9 0 05 Apr 2022
TeachAugment: Data Augmentation Optimization Using Teacher Knowledge Teppei Suzuki ViT 21 48 0 25 Feb 2022
Avoiding Overfitting: A Survey on Regularization Methods for Convolutional Neural Networks C. F. G. Santos João Paulo Papa 22 211 0 10 Jan 2022
Adaptive Perturbation for Adversarial Attack Zheng Yuan Jie M. Zhang Zhaoyan Jiang Liangliang Li Shiguang Shan AAML 24 3 0 27 Nov 2021
On Training Implicit Models Zhengyang Geng Xinyu Zhang Shaojie Bai Yisen Wang Zhouchen Lin 59 69 0 09 Nov 2021
Spectral Bias in Practice: The Role of Function Frequency in Generalization Sara Fridovich-Keil Raphael Gontijo-Lopes Rebecca Roelofs 35 28 0 06 Oct 2021
Meta Gradient Adversarial Attack Zheng Yuan Jie M. Zhang Yunpei Jia Chuanqi Tan Tao Xue Shiguang Shan AAML 49 78 0 09 Aug 2021
Bag of Tricks for Neural Architecture Search T. Elsken B. Staffler Arber Zela J. H. Metzen Frank Hutter 25 5 0 08 Jul 2021
Recent Deep Semi-supervised Learning Approaches and Related Works Gyeongho Kim SSL 13 10 0 22 Jun 2021
Effective Evaluation of Deep Active Learning on Image Classification Tasks Nathan Beck D. Sivasubramanian Apurva Dani Ganesh Ramakrishnan Rishabh K. Iyer VLM 12 37 0 16 Jun 2021
BasisNet: Two-stage Model Synthesis for Efficient Inference Mingda Zhang Chun-Te Chu A. Zhmoginov Andrew G. Howard Brendan Jou Yukun Zhu Li Zhang R. Hwa Adriana Kovashka 3DH 28 7 0 07 May 2021
Bag of Baselines for Multi-objective Joint Neural Architecture Search and Hyperparameter Optimization Julia Guerrero-Viu Sven Hauns Sergio Izquierdo Guilherme Miotto Simon Schrodi André Biedenkapp T. Elsken Difan Deng Marius Lindauer Frank Hutter AI4CE 17 25 0 03 May 2021
Direct Differentiable Augmentation Search Aoming Liu Zehao Huang Zhiwu Huang Naiyan Wang 25 32 0 09 Apr 2021
TrivialAugment: Tuning-free Yet State-of-the-Art Data Augmentation Samuel G. Müller Frank Hutter ViT MQ 16 274 0 18 Mar 2021
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning Mamshad Nayeem Rizve Kevin Duarte Y. S. Rawat M. Shah 223 509 0 15 Jan 2021
STNet: Scale Tree Network with Multi-level Auxiliator for Crowd Counting Mingjie Wang Hao Cai Xianfeng Han Jun Zhou Minglun Gong 29 41 0 18 Dec 2020
KeepAugment: A Simple Information-Preserving Data Augmentation Approach Chengyue Gong Dilin Wang Meng Li Vikas Chandra Qiang Liu 27 113 0 23 Nov 2020
Sharpness-Aware Minimization for Efficiently Improving Generalization Pierre Foret Ariel Kleiner H. Mobahi Behnam Neyshabur AAML 51 1,276 0 03 Oct 2020
Regularizing Deep Networks with Semantic Data Augmentation Yulin Wang Gao Huang Shiji Song Xuran Pan Yitong Xia Cheng Wu 19 155 0 21 Jul 2020
OnlineAugment: Online Data Augmentation with Less Domain Knowledge Zhiqiang Tang Yunhe Gao Leonid Karlinsky P. Sattigeri Rogerio Feris Dimitris N. Metaxas 19 56 0 17 Jul 2020
A Comprehensive Survey of Neural Architecture Search: Challenges and Solutions Pengzhen Ren Yun Xiao Xiaojun Chang Po-Yao (Bernie) Huang Zhihui Li Xiaojiang Chen Xin Wang AI4CE 48 653 0 01 Jun 2020
Interlayer and Intralayer Scale Aggregation for Scale-invariant Crowd Counting Mingjie Wang Hao Cai Jun Zhou Minglun Gong 37 20 0 25 May 2020
Characterizing and Modeling Distributed Training with Transient Cloud GPU Servers Shijian Li R. Walls Tian Guo 23 23 0 07 Apr 2020
UniformAugment: A Search-free Probabilistic Data Augmentation Approach Tom Ching LingChen Ava Khonsari Amirreza Lashkari M. Nazari Jaspreet Singh Sambee M. Nascimento 19 58 0 31 Mar 2020
Circumventing Outliers of AutoAugment with Knowledge Distillation Longhui Wei Anxiang Xiao Lingxi Xie Xin Chen Xiaopeng Zhang Qi Tian 24 62 0 25 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 329 53 0 09 Mar 2020
On the Similarity of Deep Learning Representations Across Didactic and Adversarial Examples P. Douglas F. Farahani AAML 14 5 0 17 Feb 2020
Optimized Generic Feature Learning for Few-shot Classification across Domains Tonmoy Saikia Thomas Brox Cordelia Schmid VLM 22 48 0 22 Jan 2020
GridMask Data Augmentation Pengguang Chen Shu-Lin Liu Hengshuang Zhao Xingquan Wang Jiaya Jia 27 310 0 13 Jan 2020
Adversarial AutoAugment Xinyu Zhang Qiang-qiang Wang Jian Andrew Zhang Zhaobai Zhong AAML 26 196 0 24 Dec 2019
Adversarial Feature Distribution Alignment for Semi-Supervised Learning Christoph Mayer M. Paul Radu Timofte 13 12 0 22 Dec 2019
Triple Generative Adversarial Networks Chongxuan Li Kun Xu Jiashuo Liu Jun Zhu Bo Zhang GAN 21 41 0 20 Dec 2019
SELF: Learning to Filter Noisy Labels with Self-Ensembling Philipp Kratzer Marc Toussaint Thi Phuong Nhung Ngo T. Nguyen Jim Mainprice Thomas Brox NoLa 28 308 0 04 Oct 2019
RandAugment: Practical automated data augmentation with a reduced search space E. D. Cubuk Barret Zoph Jonathon Shlens Quoc V. Le MQ 54 3,412 0 30 Sep 2019
Capsule Networks Need an Improved Routing Algorithm Inyoung Paik Taeyeong Kwak Injung Kim 19 35 0 31 Jul 2019
DropAttention: A Regularization Method for Fully-Connected Self-Attention Networks Zehui Lin Pengfei Liu Luyao Huang Junkun Chen Xipeng Qiu Xuanjing Huang 3DPC 16 44 0 25 Jul 2019