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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 / 5,332 papers shown
DR-GAN: Conditional Generative Adversarial Network for Fine-Grained
  Lesion Synthesis on Diabetic Retinopathy Images
DR-GAN: Conditional Generative Adversarial Network for Fine-Grained Lesion Synthesis on Diabetic Retinopathy ImagesIEEE journal of biomedical and health informatics (IEEE JBHI), 2019
Yi Zhou
Boyang Wang
Xiaodong He
Shanshan Cui
Ling Shao
GANMedIm
206
115
0
10 Dec 2019
Dynamic Convolution: Attention over Convolution Kernels
Dynamic Convolution: Attention over Convolution KernelsComputer Vision and Pattern Recognition (CVPR), 2019
Yinpeng Chen
Xiyang Dai
Xiyang Dai
Dongdong Chen
Lu Yuan
Zicheng Liu
359
1,181
0
07 Dec 2019
Achieving Robustness in the Wild via Adversarial Mixing with
  Disentangled Representations
Achieving Robustness in the Wild via Adversarial Mixing with Disentangled RepresentationsComputer Vision and Pattern Recognition (CVPR), 2019
Sven Gowal
Chongli Qin
Po-Sen Huang
taylan. cemgil
Krishnamurthy Dvijotham
Timothy A. Mann
Pushmeet Kohli
AAMLOOD
246
58
0
06 Dec 2019
Deep learning with noisy labels: exploring techniques and remedies in
  medical image analysis
Deep learning with noisy labels: exploring techniques and remedies in medical image analysis
Davood Karimi
Haoran Dou
Simon K. Warfield
Ali Gholipour
NoLa
378
624
0
05 Dec 2019
AugMix: A Simple Data Processing Method to Improve Robustness and
  Uncertainty
AugMix: A Simple Data Processing Method to Improve Robustness and UncertaintyInternational Conference on Learning Representations (ICLR), 2019
Dan Hendrycks
Norman Mu
E. D. Cubuk
Barret Zoph
Justin Gilmer
Balaji Lakshminarayanan
OODUQCV
782
1,495
0
05 Dec 2019
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed
  Visual Recognition
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual RecognitionComputer Vision and Pattern Recognition (CVPR), 2019
Boyan Zhou
Quan Cui
Xiu-Shen Wei
Zhao-Min Chen
798
924
0
05 Dec 2019
Learning with Multiplicative Perturbations
Learning with Multiplicative PerturbationsInternational Conference on Pattern Recognition (ICPR), 2019
Xiulong Yang
Shihao Ji
AAML
157
5
0
04 Dec 2019
Adversarial Domain Adaptation with Domain Mixup
Adversarial Domain Adaptation with Domain MixupAAAI Conference on Artificial Intelligence (AAAI), 2019
Minghao Xu
Jian Zhang
Bingbing Ni
Teng Li
Chengjie Wang
Qi Tian
Wenjun Zhang
234
485
0
04 Dec 2019
Distance-Based Learning from Errors for Confidence Calibration
Distance-Based Learning from Errors for Confidence CalibrationInternational Conference on Learning Representations (ICLR), 2019
Chen Xing
Sercan O. Arik
Zizhao Zhang
Tomas Pfister
FedML
221
42
0
03 Dec 2019
The Knowledge Within: Methods for Data-Free Model Compression
The Knowledge Within: Methods for Data-Free Model CompressionComputer Vision and Pattern Recognition (CVPR), 2019
Matan Haroush
Itay Hubara
Elad Hoffer
Daniel Soudry
261
114
0
03 Dec 2019
Combining MixMatch and Active Learning for Better Accuracy with Fewer
  Labels
Combining MixMatch and Active Learning for Better Accuracy with Fewer Labels
Shuang Song
David Berthelot
Afshin Rostamizadeh
233
35
0
02 Dec 2019
A Generalization Theory based on Independent and Task-Identically
  Distributed Assumption
A Generalization Theory based on Independent and Task-Identically Distributed Assumption
Guanhua Zheng
Jitao Sang
Houqiang Li
Jian Yu
Changsheng Xu
OOD
228
1
0
28 Nov 2019
E-Stitchup: Data Augmentation for Pre-Trained Embeddings
E-Stitchup: Data Augmentation for Pre-Trained Embeddings
Cameron R. Wolfe
Keld T. Lundgaard
144
4
0
28 Nov 2019
Revisiting Image Aesthetic Assessment via Self-Supervised Feature
  Learning
Revisiting Image Aesthetic Assessment via Self-Supervised Feature LearningAAAI Conference on Artificial Intelligence (AAAI), 2019
Kekai Sheng
Weiming Dong
Menglei Chai
Guohui Wang
Peng Zhou
Feiyue Huang
Bao-Gang Hu
Rongrong Ji
Chongyang Ma
SSL
162
35
0
26 Nov 2019
DeepMimic: Mentor-Student Unlabeled Data Based Training
DeepMimic: Mentor-Student Unlabeled Data Based TrainingInternational Conference on Artificial Neural Networks (ICANN), 2019
Itay Mosafi
E. David
N. Netanyahu
191
6
0
24 Nov 2019
ReMixMatch: Semi-Supervised Learning with Distribution Alignment and
  Augmentation Anchoring
ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring
David Berthelot
Nicholas Carlini
E. D. Cubuk
Alexey Kurakin
Kihyuk Sohn
Han Zhang
Colin Raffel
449
749
0
21 Nov 2019
Beyond Synthetic Noise: Deep Learning on Controlled Noisy Labels
Beyond Synthetic Noise: Deep Learning on Controlled Noisy Labels
Lu Jiang
Di Huang
Mason Liu
Weilong Yang
NoLa
245
3
0
21 Nov 2019
Adversarial Examples Improve Image Recognition
Adversarial Examples Improve Image RecognitionComputer Vision and Pattern Recognition (CVPR), 2019
Cihang Xie
Mingxing Tan
Boqing Gong
Jiang Wang
Alan Yuille
Quoc V. Le
AAML
393
610
0
21 Nov 2019
Learning Spatial Fusion for Single-Shot Object Detection
Learning Spatial Fusion for Single-Shot Object Detection
Songtao Liu
Di Huang
Yunhong Wang
ObjD
266
768
0
21 Nov 2019
Few Shot Network Compression via Cross Distillation
Few Shot Network Compression via Cross DistillationAAAI Conference on Artificial Intelligence (AAAI), 2019
Haoli Bai
Jiaxiang Wu
Irwin King
Michael Lyu
FedML
199
65
0
21 Nov 2019
An End-to-End Audio Classification System based on Raw Waveforms and
  Mix-Training Strategy
An End-to-End Audio Classification System based on Raw Waveforms and Mix-Training StrategyInterspeech (Interspeech), 2019
Jiaxu Chen
Jing Hao
Kai Chen
Di Xie
Shicai Yang
Shiliang Pu
AI4TS
153
3
0
21 Nov 2019
Patch-level Neighborhood Interpolation: A General and Effective
  Graph-based Regularization Strategy
Patch-level Neighborhood Interpolation: A General and Effective Graph-based Regularization StrategyAsian Conference on Machine Learning (ACML), 2019
Ke Sun
Bin Yu
Zhouchen Lin
Zhanxing Zhu
401
6
0
21 Nov 2019
EnAET: A Self-Trained framework for Semi-Supervised and Supervised
  Learning with Ensemble Transformations
EnAET: A Self-Trained framework for Semi-Supervised and Supervised Learning with Ensemble Transformations
Tianlin Li
Daisuke Kihara
Jiebo Luo
Guo-Jun Qi
OOD
144
34
0
21 Nov 2019
Fine-grained Synthesis of Unrestricted Adversarial Examples
Fine-grained Synthesis of Unrestricted Adversarial Examples
Omid Poursaeed
Tianxing Jiang
Yordanos Goshu
Harry Yang
Serge J. Belongie
Ser-Nam Lim
AAML
336
13
0
20 Nov 2019
AssemblyNet: A large ensemble of CNNs for 3D Whole Brain MRI
  Segmentation
AssemblyNet: A large ensemble of CNNs for 3D Whole Brain MRI SegmentationNeuroImage (NeuroImage), 2019
Pierrick Coupé
Boris Mansencal
Michael Clement
Rémi Giraud
B. D. D. Senneville
T. Thong
Vincent Lepetit
J. V. Manjón
322
162
0
20 Nov 2019
Learning mappings onto regularized latent spaces for biometric
  authentication
Learning mappings onto regularized latent spaces for biometric authenticationIEEE International Workshop on Multimedia Signal Processing (MMSP), 2019
Matteo Testa
Arslan Ali
T. Bianchi
E. Magli
79
5
0
20 Nov 2019
Unified Multifaceted Feature Learning for Person Re-Identification
Unified Multifaceted Feature Learning for Person Re-Identification
Cheng Yan
Guansong Pang
Xiao Bai
Chunhua Shen
CVBM
131
0
0
20 Nov 2019
Hybrid Composition with IdleBlock: More Efficient Networks for Image
  Recognition
Hybrid Composition with IdleBlock: More Efficient Networks for Image Recognition
Bing Xu
Andrew Tulloch
Yunpeng Chen
Xiaomeng Yang
Lin Qiao
129
4
0
19 Nov 2019
Live Face De-Identification in Video
Live Face De-Identification in VideoIEEE International Conference on Computer Vision (ICCV), 2019
Oran Gafni
Lior Wolf
Yaniv Taigman
CVBMPICV
358
150
0
19 Nov 2019
Neural Network Pruning with Residual-Connections and Limited-Data
Neural Network Pruning with Residual-Connections and Limited-DataComputer Vision and Pattern Recognition (CVPR), 2019
Jian-Hao Luo
Jianxin Wu
278
136
0
19 Nov 2019
Preparing Lessons: Improve Knowledge Distillation with Better
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Preparing Lessons: Improve Knowledge Distillation with Better Supervision
Tiancheng Wen
Shenqi Lai
Xueming Qian
391
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0
18 Nov 2019
Learning with Hierarchical Complement Objective
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Hao-Yun Chen
Li-Huang Tsai
Shih-Chieh Chang
Jia-Yu Pan
Yu-Ting Chen
Wei Wei
Da-Cheng Juan
VLM
190
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0
17 Nov 2019
Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual
  Recognition
Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual RecognitionNeural Information Processing Systems (NeurIPS), 2019
Satoshi Tsutsui
Yanwei Fu
David J. Crandall
226
42
0
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Signed Input Regularization
Signed Input Regularization
Saeid Asgari Taghanaki
Kumar Abhishek
Ghassan Hamarneh
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150
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Music theme recognition using CNN and self-attention
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Manoj Sukhavasi
Sainath Adapa
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122
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Faster AutoAugment: Learning Augmentation Strategies using
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Faster AutoAugment: Learning Augmentation Strategies using BackpropagationEuropean Conference on Computer Vision (ECCV), 2019
Ryuichiro Hataya
Jan Zdenek
Kazuki Yoshizoe
Hideki Nakayama
257
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Understanding the Disharmony between Weight Normalization Family and
  Weight Decay: $ε-$shifted $L_2$ Regularizer
Understanding the Disharmony between Weight Normalization Family and Weight Decay: ε−ε-ε−shifted L2L_2L2​ Regularizer
Li Xiang
Chen Shuo
Xia Yan
Yang Jian
127
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Adversarial Transformations for Semi-Supervised Learning
Adversarial Transformations for Semi-Supervised LearningAAAI Conference on Artificial Intelligence (AAAI), 2019
Teppei Suzuki
Ikuro Sato
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Negative sampling in semi-supervised learning
Negative sampling in semi-supervised learningInternational Conference on Machine Learning (ICML), 2019
John Chen
Vatsal Shah
Anastasios Kyrillidis
167
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0
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Patch augmentation: Towards efficient decision boundaries for neural
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Patch augmentation: Towards efficient decision boundaries for neural networks
Marcus D. Bloice
P. Roth
Andreas Holzinger
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98
2
0
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RoIMix: Proposal-Fusion among Multiple Images for Underwater Object
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RoIMix: Proposal-Fusion among Multiple Images for Underwater Object DetectionIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019
Weihong Lin
Jia-Xing Zhong
Shan Liu
Thomas H. Li
Ge Li
ObjD
160
159
0
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An Algorithm for Routing Capsules in All Domains
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Franz A. Heinsen
235
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Confident Learning: Estimating Uncertainty in Dataset Labels
Confident Learning: Estimating Uncertainty in Dataset LabelsJournal of Artificial Intelligence Research (JAIR), 2019
Curtis G. Northcutt
Lu Jiang
Isaac L. Chuang
NoLa
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bLIMEy: Surrogate Prediction Explanations Beyond LIME
bLIMEy: Surrogate Prediction Explanations Beyond LIMENeural Information Processing Systems (NeurIPS), 2019
Kacper Sokol
Alexander Hepburn
Raúl Santos-Rodríguez
Peter A. Flach
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271
43
0
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Emotion and Theme Recognition in Music with Frequency-Aware
  RF-Regularized CNNs
Emotion and Theme Recognition in Music with Frequency-Aware RF-Regularized CNNsMediaEval Benchmarking Initiative for Multimedia Evaluation (MediaEval), 2019
Khaled Koutini
Shreyan Chowdhury
Verena Haunschmid
Hamid Eghbalzadeh
Gerhard Widmer
219
19
0
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Mixup-breakdown: a consistency training method for improving
  generalization of speech separation models
Mixup-breakdown: a consistency training method for improving generalization of speech separation modelsIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019
Max W. Y. Lam
Jun Wang
Jane Polak Scowcroft
Dong Yu
273
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0
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Model-agnostic Approaches to Handling Noisy Labels When Training Sound
  Event Classifiers
Model-agnostic Approaches to Handling Noisy Labels When Training Sound Event ClassifiersIEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2019
Eduardo Fonseca
F. Font
Xavier Serra
NoLa
150
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Reducing Domain Gap by Reducing Style Bias
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Hyeonseob Nam
HyunJae Lee
Jongchan Park
Wonjun Yoon
Donggeun Yoo
379
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Superposition as Data Augmentation using LSTM and HMM in Small Training
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Superposition as Data Augmentation using LSTM and HMM in Small Training Sets
Akilesh Sivaswamy
Evgeny Nikolaevich Pavlovskiy
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KuroNet: Pre-Modern Japanese Kuzushiji Character Recognition with Deep
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Tarin Clanuwat
Alex Lamb
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