MixUp as Locally Linear Out-Of-Manifold Regularization

7 September 2018

Papers citing "MixUp as Locally Linear Out-Of-Manifold Regularization"

26 / 76 papers shown

Title
Explainability Guided Multi-Site COVID-19 CT Classification Ameen Ali Tal Shaharabany Lior Wolf 34 4 0 25 Mar 2021
Adversarially Optimized Mixup for Robust Classification Jason Bunk Srinjoy Chattopadhyay B. S. Manjunath S. Chandrasekaran AAML 30 8 0 22 Mar 2021
Enhancing Data-Free Adversarial Distillation with Activation Regularization and Virtual Interpolation Xiaoyang Qu Jianzong Wang Jing Xiao 18 14 0 23 Feb 2021
Unbiased Teacher for Semi-Supervised Object Detection Yen-Cheng Liu Chih-Yao Ma Zijian He Chia-Wen Kuo Kan Chen Peizhao Zhang Bichen Wu Z. Kira Peter Vajda 68 475 0 18 Feb 2021
When and How Mixup Improves Calibration Linjun Zhang Zhun Deng Kenji Kawaguchi James Zou UQCV 36 67 0 11 Feb 2021
Mixup Without Hesitation Hao Yu Huanyu Wang Jianxin Wu VLM 33 21 0 12 Jan 2021
PointCutMix: Regularization Strategy for Point Cloud Classification Jinlai Zhang Lvjie Chen Bojun Ouyang Binbin Liu Jihong Zhu Yujing Chen Yanmei Meng Danfeng Wu 3DPC 31 110 0 05 Jan 2021
Mixing Consistent Deep Clustering D. Lutscher Ali el Hassouni M. Stol Mark Hoogendoorn SSL 19 2 0 03 Nov 2020
Tilting at windmills: Data augmentation for deep pose estimation does not help with occlusions Rafal Pytel O. Kayhan Jan van Gemert 3DPC 29 6 0 20 Oct 2020
Combining Ensembles and Data Augmentation can Harm your Calibration Yeming Wen Ghassen Jerfel Rafael Muller Michael W. Dusenberry Jasper Snoek Balaji Lakshminarayanan Dustin Tran UQCV 32 63 0 19 Oct 2020
Regularizing Neural Networks via Adversarial Model Perturbation Yaowei Zheng Richong Zhang Yongyi Mao AAML 30 95 0 10 Oct 2020
How Does Mixup Help With Robustness and Generalization? Linjun Zhang Zhun Deng Kenji Kawaguchi Amirata Ghorbani James Zou AAML 47 244 0 09 Oct 2020
Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup Jang-Hyun Kim Wonho Choo Hyun Oh Song AAML 30 382 0 15 Sep 2020
PointMixup: Augmentation for Point Clouds Yunlu Chen Vincent Tao Hu E. Gavves Thomas Mensink Pascal Mettes Pengwan Yang Cees G. M. Snoek 3DPC 32 154 0 14 Aug 2020
Mixup-CAM: Weakly-supervised Semantic Segmentation via Uncertainty Regularization Yu-Ting Chang Qiaosong Wang Wei-Chih Hung Robinson Piramuthu Yi-Hsuan Tsai Ming-Hsuan Yang UQCV WSOL 24 34 0 03 Aug 2020
FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning Chia-Wen Kuo Chih-Yao Ma Jia-Bin Huang Z. Kira 39 118 0 16 Jul 2020
PatchUp: A Feature-Space Block-Level Regularization Technique for Convolutional Neural Networks Mojtaba Faramarzi Mohammad Amini Akilesh Badrinaaraayanan Vikas Verma A. Chandar AAML 36 31 0 14 Jun 2020
Neural Networks Are More Productive Teachers Than Human Raters: Active Mixup for Data-Efficient Knowledge Distillation from a Blackbox Model Dongdong Wang Yandong Li Liqiang Wang Boqing Gong 29 48 0 31 Mar 2020
SuperMix: Supervising the Mixing Data Augmentation Ali Dabouei Sobhan Soleymani Fariborz Taherkhani Nasser M. Nasrabadi 21 98 0 10 Mar 2020
RoIMix: Proposal-Fusion among Multiple Images for Underwater Object Detection Weihong Lin Jia-Xing Zhong Shan Liu Thomas H. Li Ge Li ObjD 20 111 0 08 Nov 2019
Mixup Inference: Better Exploiting Mixup to Defend Adversarial Attacks Tianyu Pang Kun Xu Jun Zhu AAML 28 103 0 25 Sep 2019
MetaMixUp: Learning Adaptive Interpolation Policy of MixUp with Meta-Learning Zhijun Mai Guosheng Hu Dexiong Chen Fumin Shen Heng Tao Shen 22 41 0 27 Aug 2019
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features Sangdoo Yun Dongyoon Han Seong Joon Oh Sanghyuk Chun Junsuk Choe Y. Yoo OOD 400 4,694 0 13 May 2019
Virtual Mixup Training for Unsupervised Domain Adaptation Xudong Mao Yun Ma Zhenguo Yang Yangbin Chen Qing Li 38 52 0 10 May 2019
Data augmentation instead of explicit regularization Alex Hernández-García Peter König 32 141 0 11 Jun 2018
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,167 0 06 Jun 2015