mixup: Beyond Empirical Risk Minimization

25 October 2017

Papers citing "mixup: Beyond Empirical Risk Minimization"

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Title
Multi-Representation Knowledge Distillation For Audio Classification Liang Gao Kele Xu Huaimin Wang Yuxing Peng 67 25 0 22 Feb 2020
Greedy Policy Search: A Simple Baseline for Learnable Test-Time Augmentation Dmitry Molchanov Alexander Lyzhov Yuliya Molchanova Arsenii Ashukha Dmitry Vetrov TPM 27 84 0 21 Feb 2020
MaxUp: A Simple Way to Improve Generalization of Neural Network Training Chengyue Gong Tongzheng Ren Mao Ye Qiang Liu AAML 29 56 0 20 Feb 2020
Wavesplit: End-to-End Speech Separation by Speaker Clustering Neil Zeghidour David Grangier VLM 27 261 0 20 Feb 2020
A survey on Semi-, Self- and Unsupervised Learning for Image Classification Lars Schmarje M. Santarossa Simon-Martin Schroder Reinhard Koch SSL VLM 17 162 0 20 Feb 2020
Do We Need Zero Training Loss After Achieving Zero Training Error? Takashi Ishida Ikko Yamane Tomoya Sakai Gang Niu Masashi Sugiyama AI4CE 49 135 0 20 Feb 2020
DivideMix: Learning with Noisy Labels as Semi-supervised Learning Junnan Li R. Socher Guosheng Lin NoLa 44 1,013 0 18 Feb 2020
Class-Imbalanced Semi-Supervised Learning Minsung Hyun Jisoo Jeong Nojun Kwak 20 49 0 17 Feb 2020
CAT: Customized Adversarial Training for Improved Robustness Minhao Cheng Qi Lei Pin-Yu Chen Inderjit Dhillon Cho-Jui Hsieh OOD AAML 35 114 0 17 Feb 2020
Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning Arsenii Ashukha Alexander Lyzhov Dmitry Molchanov Dmitry Vetrov UQCV FedML 38 314 0 15 Feb 2020
Scalable and Practical Natural Gradient for Large-Scale Deep Learning Kazuki Osawa Yohei Tsuji Yuichiro Ueno Akira Naruse Chuan-Sheng Foo Rio Yokota 39 36 0 13 Feb 2020
Hodge and Podge: Hybrid Supervised Sound Event Detection with Multi-Hot MixMatch and Composition Consistence Training Ziqiang Shi Liu Liu Huibin Lin Rujie Liu 14 2 0 13 Feb 2020
Learning Flat Latent Manifolds with VAEs Nutan Chen Alexej Klushyn Francesco Ferroni Justin Bayer Patrick van der Smagt DRL 37 39 0 12 Feb 2020
Deep Feature Embedding and Hierarchical Classification for Audio Scene Classification L. D. Pham Ian Mcloughlin Huy P Phan Ramaswamy Palaniappan Alfred Mertins 24 20 0 12 Feb 2020
fastai: A Layered API for Deep Learning Jeremy Howard Sylvain Gugger AI4CE 20 857 0 11 Feb 2020
Learning with Out-of-Distribution Data for Audio Classification Turab Iqbal Yin Cao Qiuqiang Kong Mark D. Plumbley Wenwu Wang OODD 6 17 0 11 Feb 2020
Calibrate and Prune: Improving Reliability of Lottery Tickets Through Prediction Calibration Bindya Venkatesh Jayaraman J. Thiagarajan Kowshik Thopalli P. Sattigeri 10 14 0 10 Feb 2020
Adversarial Data Encryption Yingdong Hu Liang Zhang W. Shan Xiaoxiao Qin Jinghuai Qi Zhenzhou Wu Yang Yuan FedML MedIm 23 0 0 10 Feb 2020
Snippext: Semi-supervised Opinion Mining with Augmented Data Zhengjie Miao Yuliang Li Xiaolan Wang W. Tan RALM VLM 22 89 0 07 Feb 2020
Data augmentation with Mobius transformations Sharon Zhou Jiequan Zhang Hang Jiang T. Lundh A. Ng 22 20 0 07 Feb 2020
A locality-based approach for coded computation Michael Rudow K. V. Rashmi V. Guruswami 25 7 0 06 Feb 2020
Cooperative Learning via Federated Distillation over Fading Channels Jinhyun Ahn Osvaldo Simeone Joonhyuk Kang FedML 27 29 0 03 Feb 2020
Identifying Mislabeled Data using the Area Under the Margin Ranking Geoff Pleiss Tianyi Zhang Ethan R. Elenberg Kilian Q. Weinberger NoLa 43 262 0 28 Jan 2020
Learning Multi-instrument Classification with Partial Labels Amir Kenarsari-Anhari 17 3 0 24 Jan 2020
Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation Hung-Yu Tseng Hsin-Ying Lee Jia-Bin Huang Ming-Hsuan Yang 32 387 0 23 Jan 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 104 3,479 0 21 Jan 2020
batchboost: regularization for stabilizing training with resistance to underfitting & overfitting Maciej A. Czyzewski 9 1 0 21 Jan 2020
Robust Deep Learning Framework For Predicting Respiratory Anomalies and Diseases L. D. Pham Ian Mcloughlin Huy P Phan Minh Tran T. Nguyen Ramaswamy Palaniappan 16 44 0 21 Jan 2020
Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network Jungkyu Lee Taeryun Won Tae Kwan Lee Hyemin Lee Geonmo Gu K. Hong 34 57 0 17 Jan 2020
Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning Paola Cascante-Bonilla Fuwen Tan Yanjun Qi Vicente Ordonez ODL 50 23 0 16 Jan 2020
Structured Consistency Loss for semi-supervised semantic segmentation Jongmok Kim JooYoung Jang Hyunwoo Park SeongAh Jeong 19 66 0 14 Jan 2020
Deep learning achieves perfect anomaly detection on 108,308 retinal images including unlearned diseases Ayaka Suzuki Yoshiro Suzuki MedIm 16 3 0 13 Jan 2020
Semi-supervised learning method based on predefined evenly-distributed class centroids Qiuyu Zhu Tiantian Li SSL 12 6 0 13 Jan 2020
GridMask Data Augmentation Pengguang Chen Shu Liu Hengshuang Zhao Xingquan Wang Jiaya Jia 43 310 0 13 Jan 2020
Confidence Scores Make Instance-dependent Label-noise Learning Possible Antonin Berthon Bo Han Gang Niu Tongliang Liu Masashi Sugiyama NoLa 42 104 0 11 Jan 2020
Semi-supervised Learning via Conditional Rotation Angle Estimation Hai-Ming Xu Lingqiao Liu Dong Gong 14 4 0 09 Jan 2020
EcoNAS: Finding Proxies for Economical Neural Architecture Search Dongzhan Zhou Xinchi Zhou Wenwei Zhang Chen Change Loy Shuai Yi Xuesen Zhang Wanli Ouyang 17 110 0 05 Jan 2020
Improve Unsupervised Domain Adaptation with Mixup Training Shen Yan Huan Song Nanxiang Li Lincan Zou Liu Ren 29 228 0 03 Jan 2020
NAS-Bench-201: Extending the Scope of Reproducible Neural Architecture Search Xuanyi Dong Yi Yang 46 698 0 02 Jan 2020
A Comprehensive and Modularized Statistical Framework for Gradient Norm Equality in Deep Neural Networks Zhaodong Chen Lei Deng Bangyan Wang Guoqi Li Yuan Xie 40 28 0 01 Jan 2020
OneGAN: Simultaneous Unsupervised Learning of Conditional Image Generation, Foreground Segmentation, and Fine-Grained Clustering Yaniv Benny Lior Wolf VLM GAN 21 48 0 31 Dec 2019
SketchTransfer: A Challenging New Task for Exploring Detail-Invariance and the Abstractions Learned by Deep Networks Alex Lamb Sherjil Ozair Vikas Verma David R Ha AAML 23 4 0 25 Dec 2019
Big Transfer (BiT): General Visual Representation Learning Alexander Kolesnikov Lucas Beyer Xiaohua Zhai J. Puigcerver Jessica Yung Sylvain Gelly N. Houlsby MQ 114 1,183 0 24 Dec 2019
Learn-able parameter guided Activation Functions S. Balaji T. Kavya Natasha Sebastian 6 6 0 23 Dec 2019
Adversarial Feature Distribution Alignment for Semi-Supervised Learning Christoph Mayer M. Paul Radu Timofte 29 12 0 22 Dec 2019
Learning to Impute: A General Framework for Semi-supervised Learning Wei-Hong Li Chuan-Sheng Foo Hakan Bilen SSL 24 9 0 22 Dec 2019
PANNs: Large-Scale Pretrained Audio Neural Networks for Audio Pattern Recognition Qiuqiang Kong Yin Cao Turab Iqbal Yuxuan Wang Wenwu Wang Mark D. Plumbley VLM SSL 10 1,049 0 21 Dec 2019
Triple Generative Adversarial Networks Chongxuan Li Kun Xu Jiashuo Liu Jun Zhu Bo Zhang GAN 36 41 0 20 Dec 2019
AtomNAS: Fine-Grained End-to-End Neural Architecture Search Jieru Mei Yingwei Li Xiaochen Lian Xiaojie Jin Linjie Yang Alan Yuille Jianchao Yang 19 107 0 20 Dec 2019
RealMix: Towards Realistic Semi-Supervised Deep Learning Algorithms Varun Nair Javier Fuentes Alonso Tony Beltramelli 33 26 0 18 Dec 2019