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mixup: Beyond Empirical Risk Minimization
v1v2 (latest)

mixup: Beyond Empirical Risk Minimization

International Conference on Learning Representations (ICLR), 2017
25 October 2017
Hongyi Zhang
Moustapha Cissé
Yann N. Dauphin
David Lopez-Paz
    NoLa
ArXiv (abs)PDFHTML

Papers citing "mixup: Beyond Empirical Risk Minimization"

50 / 5,331 papers shown
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Qi Lei
Pin-Yu Chen
Inderjit Dhillon
Cho-Jui Hsieh
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Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep
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Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep LearningInternational Conference on Learning Representations (ICLR), 2020
Arsenii Ashukha
Alexander Lyzhov
Dmitry Molchanov
Dmitry Vetrov
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513
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0
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Scalable and Practical Natural Gradient for Large-Scale Deep Learning
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Yohei Tsuji
Yuichiro Ueno
Akira Naruse
Chuan-Sheng Foo
Rio Yokota
240
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0
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Hodge and Podge: Hybrid Supervised Sound Event Detection with Multi-Hot
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Ziqiang Shi
Liu Liu
Huibin Lin
Rujie Liu
87
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13 Feb 2020
Learning Flat Latent Manifolds with VAEs
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Nutan Chen
Alexej Klushyn
Francesco Ferroni
Justin Bayer
Patrick van der Smagt
DRL
218
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Deep Feature Embedding and Hierarchical Classification for Audio Scene
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Deep Feature Embedding and Hierarchical Classification for Audio Scene ClassificationIEEE International Joint Conference on Neural Network (IJCNN), 2020
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Ian Mcloughlin
Huy P Phan
Ramaswamy Palaniappan
Alfred Mertins
169
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fastai: A Layered API for Deep Learning
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Jeremy Howard
Sylvain Gugger
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376
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Learning with Out-of-Distribution Data for Audio Classification
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Yin Cao
Qiuqiang Kong
Mark D. Plumbley
Wenwu Wang
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Calibrate and Prune: Improving Reliability of Lottery Tickets Through
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Jayaraman J. Thiagarajan
Kowshik Thopalli
P. Sattigeri
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Adversarial Data Encryption
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Yingdong Hu
Liang Zhang
W. Shan
Xiaoxiao Qin
Jinghuai Qi
Zhenzhou Wu
Yang Yuan
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120
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Snippext: Semi-supervised Opinion Mining with Augmented Data
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Zhengjie Miao
Yuliang Li
Xiaolan Wang
W. Tan
RALMVLM
142
94
0
07 Feb 2020
Data augmentation with Mobius transformations
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Hang Jiang
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Cooperative Learning via Federated Distillation over Fading Channels
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Osvaldo Simeone
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Learning Multi-instrument Classification with Partial Labels
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Cross-Domain Few-Shot Classification via Learned Feature-Wise
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Hung-Yu Tseng
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David Berthelot
Chun-Liang Li
Zizhao Zhang
Nicholas Carlini
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Colin Raffel
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batchboost: regularization for stabilizing training with resistance to
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Robust Deep Learning Framework For Predicting Respiratory Anomalies and DiseasesAnnual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2020
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Ian Mcloughlin
Huy P Phan
Minh Tran
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Compounding the Performance Improvements of Assembled Techniques in a
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Deep learning achieves perfect anomaly detection on 108,308 retinal
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Improve Unsupervised Domain Adaptation with Mixup Training
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