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Adaptively Weighted Data Augmentation Consistency Regularization for Robust Optimization under Concept Shift

4 October 2022

Papers citing "Adaptively Weighted Data Augmentation Consistency Regularization for Robust Optimization under Concept Shift"

25 / 25 papers shown

Title
Sample Efficiency of Data Augmentation Consistency Regularization Shuo Yang Yijun Dong Rachel A. Ward Inderjit S. Dhillon Sujay Sanghavi Qi Lei AAML 75 17 0 24 Feb 2022
An Embarrassingly Simple Consistency Regularization Method for Semi-Supervised Medical Image Segmentation Hritam Basak R. Bhattacharya Rukhshanda Hussain Agniv Chatterjee 63 21 0 01 Feb 2022
SSMD: Semi-Supervised Medical Image Detection with Adaptive Consistency and Heterogeneous Perturbation Hong-Yu Zhou Chengdi Wang Haofeng Li Gang Wang Shu Zhen Zhang Wei-min Li Yizhou Yu 59 52 0 03 Jun 2021
Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation Hu Cao Yueyue Wang Jieneng Chen Dongsheng Jiang Xiaopeng Zhang Qi Tian Manning Wang ViT MedIm 141 2,914 0 12 May 2021
Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation Michael Yeung Evis Sala Carola-Bibiane Schönlieb L. Rundo 75 408 0 08 Feb 2021
TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation Jieneng Chen Yongyi Lu Qihang Yu Xiangde Luo Ehsan Adeli Yan Wang Le Lu Alan Yuille Yuyin Zhou ViT MedIm 98 3,497 0 08 Feb 2021
Bootstrap your own latent: A new approach to self-supervised Learning Jean-Bastien Grill Florian Strub Florent Altché Corentin Tallec Pierre Harvey Richemond ... M. G. Azar Bilal Piot Koray Kavukcuoglu Rémi Munos Michal Valko SSL 398 6,837 0 13 Jun 2020
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence Kihyuk Sohn David Berthelot Chun-Liang Li Zizhao Zhang Nicholas Carlini E. D. Cubuk Alexey Kurakin Han Zhang Colin Raffel AAML 160 3,572 0 21 Jan 2020
Deep learning with noisy labels: exploring techniques and remedies in medical image analysis Davood Karimi Haoran Dou Simon K. Warfield Ali Gholipour NoLa 95 543 0 05 Dec 2019
Momentum Contrast for Unsupervised Visual Representation Learning Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross B. Girshick SSL 213 12,124 0 13 Nov 2019
Deep Semantic Segmentation of Natural and Medical Images: A Review Saeid Asgari Taghanaki Kumar Abhishek Joseph Paul Cohen Julien Cohen-Adad Ghassan Hamarneh SSeg VLM 137 682 0 16 Oct 2019
On The Power of Curriculum Learning in Training Deep Networks Guy Hacohen D. Weinshall ODL 75 449 0 07 Apr 2019
Transformation Consistent Self-ensembling Model for Semi-supervised Medical Image Segmentation Xuelong Li Lequan Yu Hao Chen Chi-Wing Fu Lei Xing Pheng-Ann Heng MedIm 68 386 0 28 Feb 2019
Data augmentation using learned transformations for one-shot medical image segmentation Amy Zhao Guha Balakrishnan F. Durand John Guttag Adrian Dalca OOD MedIm 72 399 0 25 Feb 2019
Learning Models with Uniform Performance via Distributionally Robust Optimization John C. Duchi Hongseok Namkoong OOD 70 423 0 20 Oct 2018
3D Segmentation with Exponential Logarithmic Loss for Highly Unbalanced Object Sizes Ken C. L. Wong Mehdi Moradi Hui Tang Tanveer Syeda-Mahmood 3DV SSeg 60 191 0 31 Aug 2018
Attention-Guided Curriculum Learning for Weakly Supervised Classification and Localization of Thoracic Diseases on Chest Radiographs Yuxing Tang Xiaosong Wang Adam P. Harrison Le Lu Jing Xiao Ronald M. Summers 77 154 0 19 Jul 2018
Combo Loss: Handling Input and Output Imbalance in Multi-Organ Segmentation Saeid Asgari Taghanaki Yefeng Zheng S. Kevin Zhou Bogdan Georgescu Puneet Sharma Daguang Xu Dorin Comaniciu Ghassan Hamarneh 79 337 0 08 May 2018
Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination Zhirong Wu Yuanjun Xiong Stella X. Yu Dahua Lin SSL 182 3,466 0 05 May 2018
mixup: Beyond Empirical Risk Minimization Hongyi Zhang Moustapha Cissé Yann N. Dauphin David Lopez-Paz NoLa 289 9,803 0 25 Oct 2017
Statistics of Robust Optimization: A Generalized Empirical Likelihood Approach John C. Duchi Peter Glynn Hongseok Namkoong 106 323 0 11 Oct 2016
Temporal Ensembling for Semi-Supervised Learning S. Laine Timo Aila UQCV 187 2,567 0 07 Oct 2016
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation Fausto Milletari Nassir Navab Seyed-Ahmad Ahmadi 238 8,716 0 15 Jun 2016
Online Batch Selection for Faster Training of Neural Networks I. Loshchilov Frank Hutter ODL 102 301 0 19 Nov 2015
Stochastic Optimization with Importance Sampling P. Zhao Tong Zhang 102 346 0 13 Jan 2014