mixup: Beyond Empirical Risk Minimization

25 October 2017

Papers citing "mixup: Beyond Empirical Risk Minimization"

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Title
Calibrating and Improving Graph Contrastive Learning Kaili Ma Haochen Yang Han Yang Yongqiang Chen James Cheng 60 6 0 27 Jan 2021
Towards Robustness to Label Noise in Text Classification via Noise Modeling Siddhant Garg Goutham Ramakrishnan Varun Thumbe NoLa 19 20 0 27 Jan 2021
ResLT: Residual Learning for Long-tailed Recognition Jiequan Cui Shu Liu Zhuotao Tian Zhisheng Zhong Jiaya Jia 18 130 0 26 Jan 2021
Deep One-Class Classification via Interpolated Gaussian Descriptor Yuanhong Chen Yu Tian Guansong Pang G. Carneiro VLM 59 98 0 25 Jan 2021
GP: Context-free Grammar Pre-training for Text-to-SQL Parsers Liang Zhao Hexin Cao Yunsong Zhao AI4CE 22 11 0 25 Jan 2021
Weakly Supervised Learning for Facial Behavior Analysis : A Review G. Praveen Member Ieee Eric Granger Member Ieee Patrick Cardinal CVBM 42 6 0 25 Jan 2021
Improving Few-Shot Learning with Auxiliary Self-Supervised Pretext Tasks N. Simard Guillaume Lagrange SSL 25 5 0 24 Jan 2021
Rethinking Domain Generalization Baselines Francesco Cappio Borlino A. DÍnnocente Tatiana Tommasi OOD 19 40 0 22 Jan 2021
Self-Adaptive Training: Bridging Supervised and Self-Supervised Learning Lang Huang Chaoning Zhang Hongyang R. Zhang SSL 36 24 0 21 Jan 2021
Characterizing signal propagation to close the performance gap in unnormalized ResNets Andrew Brock Soham De Samuel L. Smith 42 120 0 21 Jan 2021
LEAF: A Learnable Frontend for Audio Classification Neil Zeghidour O. Teboul Félix de Chaumont Quitry Marco Tagliasacchi VLM AAML 85 145 0 21 Jan 2021
Anti-UAV: A Large Multi-Modal Benchmark for UAV Tracking Nan Jiang Kuiran Wang Xiaoke Peng Xuehui Yu Qiang Wang Junliang Xing Guorong Li Jian-jun Zhao G. Guo Zhenjun Han 30 90 0 21 Jan 2021
Chest X-ray lung and heart segmentation based on minimal training sets B. Maga 17 6 0 20 Jan 2021
Deep Epidemiological Modeling by Black-box Knowledge Distillation: An Accurate Deep Learning Model for COVID-19 Dongdong Wang Shunpu Zhang Liqiang Wang 27 12 0 20 Jan 2021
PConv: Simple yet Effective Convolutional Layer for Generative Adversarial Network Seung Park Yoon-Jae Yeo Y. Shin 35 20 0 19 Jan 2021
An Empirical Study and Analysis on Open-Set Semi-Supervised Learning Huixiang Luo Hao Cheng Fanxu Meng Yuting Gao Ke Li Mengdan Zhang Xing Sun 30 8 0 19 Jan 2021
Hyperspectral Image Super-Resolution with Spectral Mixup and Heterogeneous Datasets Ke Li Dengxin Dai E. Konukoglu Luc Van Gool 35 7 0 19 Jan 2021
Machine learning with limited data Fupin Yao VLM 30 8 0 18 Jan 2021
On Data-Augmentation and Consistency-Based Semi-Supervised Learning Atin Ghosh Alexandre Hoang Thiery 73 20 0 18 Jan 2021
What Do Deep Nets Learn? Class-wise Patterns Revealed in the Input Space Shihao Zhao Xingjun Ma Yisen Wang James Bailey Yue Liu Yu-Gang Jiang AAML 14 15 0 18 Jan 2021
Removing Undesirable Feature Contributions Using Out-of-Distribution Data Saehyung Lee Changhwa Park Hyungyu Lee Jihun Yi Jonghyun Lee Sungroh Yoon OODD 16 24 0 17 Jan 2021
Improve Global Glomerulosclerosis Classification with Imbalanced Data using CircleMix Augmentation Yuzhe Lu Haichun Yang Zheyu Zhu Ruining Deng Agnes B. Fogo Yuankai Huo 22 1 0 16 Jan 2021
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning Mamshad Nayeem Rizve Kevin Duarte Yogesh S Rawat M. Shah 261 510 0 15 Jan 2021
Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks Yige Li Lingjuan Lyu Nodens Koren X. Lyu Yue Liu Xingjun Ma AAML FedML 36 430 0 15 Jan 2021
Should Ensemble Members Be Calibrated? Xixin Wu Mark Gales UQCV 31 12 0 13 Jan 2021
Random Shadows and Highlights: A new data augmentation method for extreme lighting conditions Osama Mazhar Jens Kober AAML 18 5 0 13 Jan 2021
Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels Sangdoo Yun Seong Joon Oh Byeongho Heo Dongyoon Han Junsuk Choe Sanghyuk Chun 416 143 0 13 Jan 2021
Unlearnable Examples: Making Personal Data Unexploitable Hanxun Huang Xingjun Ma S. Erfani James Bailey Yisen Wang MIACV 164 192 0 13 Jan 2021
Mixup Without Hesitation Hao Yu Huanyu Wang Jianxin Wu VLM 47 21 0 12 Jan 2021
RepVGG: Making VGG-style ConvNets Great Again Xiaohan Ding Xinming Zhang Ningning Ma Jungong Han Guiguang Ding Jian Sun 136 1,558 0 11 Jan 2021
A Four-Stage Data Augmentation Approach to ResNet-Conformer Based Acoustic Modeling for Sound Event Localization and Detection Qing Wang Jun Du Hua-Xin Wu Jia Pan Feng Ma Chin-Hui Lee 27 79 0 08 Jan 2021
Octave Mix: Data augmentation using frequency decomposition for activity recognition Tatsuhito Hasegawa 59 3 0 08 Jan 2021
Bridging In- and Out-of-distribution Samples for Their Better Discriminability Engkarat Techapanurak Anh-Chuong Dang Takayuki Okatani OODD 30 3 0 07 Jan 2021
AutoDropout: Learning Dropout Patterns to Regularize Deep Networks Hieu H. Pham Quoc V. Le 76 56 0 05 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 36 110 0 05 Jan 2021
Substructure Substitution: Structured Data Augmentation for NLP Freda Shi Karen Livescu Kevin Gimpel 196 41 0 02 Jan 2021
SDA: Improving Text Generation with Self Data Augmentation Ping Yu Ruiyi Zhang Yang Zhao Yizhe Zhang Chunyuan Li Changyou Chen 33 2 0 02 Jan 2021
Better Robustness by More Coverage: Adversarial Training with Mixup Augmentation for Robust Fine-tuning Chenglei Si Zhengyan Zhang Fanchao Qi Zhiyuan Liu Yasheng Wang Qun Liu Maosong Sun AAML SILM 30 68 0 31 Dec 2020
Colonoscopy Polyp Detection: Domain Adaptation From Medical Report Images to Real-time Videos Zhi-Qin Zhan Huazhu Fu Yan-Yao Yang Jingjing Chen Jie Liu Yu-Gang Jiang 16 1 0 31 Dec 2020
How does the Combined Risk Affect the Performance of Unsupervised Domain Adaptation Approaches? Zhong Li Zhen Fang Feng Liu Jie Lu Bo Yuan Guangquan Zhang 30 55 0 30 Dec 2020
Tips and Tricks for Webly-Supervised Fine-Grained Recognition: Learning from the WebFG 2020 Challenge Xiu-Shen Wei Yu-Yan Xu Yazhou Yao Jia Wei Si Xi ... Taolue Xue Haipeng Jing Zhiheng Wang Tianming Zhang Mingwen Zhang 20 0 0 29 Dec 2020
Data augmentation and image understanding Alex Hernandez-Garcia 24 6 0 28 Dec 2020
Spatial Contrastive Learning for Few-Shot Classification Yassine Ouali C´eline Hudelot Myriam Tami 19 49 0 26 Dec 2020
Self-supervised Pre-training with Hard Examples Improves Visual Representations Chunyuan Li Xiujun Li Lei Zhang Baolin Peng Mingyuan Zhou Jianfeng Gao SSL 25 24 0 25 Dec 2020
Leave Zero Out: Towards a No-Cross-Validation Approach for Model Selection Weikai Li Chuanxing Geng Songcan Chen 24 14 0 24 Dec 2020
Learning with Retrospection Xiang Deng Zhongfei Zhang 35 17 0 24 Dec 2020
How Does a Neural Network's Architecture Impact Its Robustness to Noisy Labels? Jingling Li Mozhi Zhang Keyulu Xu John P. Dickerson Jimmy Ba OOD NoLa 30 19 0 23 Dec 2020
Training data-efficient image transformers & distillation through attention Hugo Touvron Matthieu Cord Matthijs Douze Francisco Massa Alexandre Sablayrolles Hervé Jégou ViT 166 6,625 0 23 Dec 2020
Generative Interventions for Causal Learning Chengzhi Mao Augustine Cha Amogh Gupta Hongya Wang Junfeng Yang Carl Vondrick CML OOD 21 64 0 22 Dec 2020
MetaAugment: Sample-Aware Data Augmentation Policy Learning Fengwei Zhou Jiawei Li Chuanlong Xie Fei Chen Lanqing Hong Rui Sun Zhenguo Li 29 29 0 22 Dec 2020