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mixup: Beyond Empirical Risk Minimization

mixup: Beyond Empirical Risk Minimization

25 October 2017
Hongyi Zhang
Moustapha Cissé
Yann N. Dauphin
David Lopez-Paz
    NoLa
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Papers citing "mixup: Beyond Empirical Risk Minimization"

50 / 4,988 papers shown
Title
Towards Robust Learning with Different Label Noise Distributions
Towards Robust Learning with Different Label Noise Distributions
Diego Ortego
Eric Arazo
Paul Albert
Noel E. O'Connor
Kevin McGuinness
NoLa
24
24
0
18 Dec 2019
On-manifold Adversarial Data Augmentation Improves Uncertainty
  Calibration
On-manifold Adversarial Data Augmentation Improves Uncertainty Calibration
Kanil Patel
William H. Beluch
Dan Zhang
Michael Pfeiffer
Bin Yang
UQCV
29
30
0
16 Dec 2019
Environmental Sound Classification with Parallel Temporal-spectral
  Attention
Environmental Sound Classification with Parallel Temporal-spectral Attention
Helin Wang
Yuexian Zou
Dading Chong
Wenwu Wang
24
4
0
14 Dec 2019
Image Classification with Deep Learning in the Presence of Noisy Labels:
  A Survey
Image Classification with Deep Learning in the Presence of Noisy Labels: A Survey
G. Algan
ilkay Ulusoy
NoLa
VLM
27
323
0
11 Dec 2019
Associative Alignment for Few-shot Image Classification
Associative Alignment for Few-shot Image Classification
Arman Afrasiyabi
Jean-François Lalonde
Christian Gagné
VLM
8
150
0
11 Dec 2019
Efficient Differentiable Neural Architecture Search with Meta Kernels
Efficient Differentiable Neural Architecture Search with Meta Kernels
Shoufa Chen
Yunpeng Chen
Shuicheng Yan
Jiashi Feng
19
18
0
10 Dec 2019
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 Images
Yi Zhou
Boyang Wang
Xiaodong He
Shanshan Cui
Ling Shao
GAN
MedIm
29
92
0
10 Dec 2019
Dynamic Convolution: Attention over Convolution Kernels
Dynamic Convolution: Attention over Convolution Kernels
Yinpeng Chen
Xiyang Dai
Mengchen Liu
Dongdong Chen
Lu Yuan
Zicheng Liu
33
871
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 Representations
Sven Gowal
Chongli Qin
Po-Sen Huang
taylan. cemgil
Krishnamurthy Dvijotham
Timothy A. Mann
Pushmeet Kohli
AAML
OOD
26
57
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
24
536
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 Uncertainty
Dan Hendrycks
Norman Mu
E. D. Cubuk
Barret Zoph
Justin Gilmer
Balaji Lakshminarayanan
OOD
UQCV
50
1,280
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 Recognition
Boyan Zhou
Quan Cui
Xiu-Shen Wei
Zhao-Min Chen
253
784
0
05 Dec 2019
Learning with Multiplicative Perturbations
Learning with Multiplicative Perturbations
Xiulong Yang
Shihao Ji
AAML
30
4
0
04 Dec 2019
Adversarial Domain Adaptation with Domain Mixup
Adversarial Domain Adaptation with Domain Mixup
Minghao Xu
Jian Zhang
Bingbing Ni
Teng Li
Chengjie Wang
Qi Tian
Wenjun Zhang
8
441
0
04 Dec 2019
Distance-Based Learning from Errors for Confidence Calibration
Distance-Based Learning from Errors for Confidence Calibration
Chen Xing
Sercan O. Arik
Zizhao Zhang
Tomas Pfister
FedML
23
39
0
03 Dec 2019
The Knowledge Within: Methods for Data-Free Model Compression
The Knowledge Within: Methods for Data-Free Model Compression
Matan Haroush
Itay Hubara
Elad Hoffer
Daniel Soudry
20
105
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
35
33
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
16
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
9
3
0
28 Nov 2019
Revisiting Image Aesthetic Assessment via Self-Supervised Feature
  Learning
Revisiting Image Aesthetic Assessment via Self-Supervised Feature Learning
Kekai Sheng
Weiming Dong
Menglei Chai
Guohui Wang
Peng Zhou
Feiyue Huang
Bao-Gang Hu
Rongrong Ji
Chongyang Ma
SSL
28
32
0
26 Nov 2019
DeepMimic: Mentor-Student Unlabeled Data Based Training
DeepMimic: Mentor-Student Unlabeled Data Based Training
Itay Mosafi
E. David
N. Netanyahu
29
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
48
674
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
19
3
0
21 Nov 2019
Adversarial Examples Improve Image Recognition
Adversarial Examples Improve Image Recognition
Cihang Xie
Mingxing Tan
Boqing Gong
Jiang Wang
Alan Yuille
Quoc V. Le
AAML
42
564
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
18
573
0
21 Nov 2019
Few Shot Network Compression via Cross Distillation
Few Shot Network Compression via Cross Distillation
Haoli Bai
Jiaxiang Wu
Irwin King
Michael Lyu
FedML
28
60
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 Strategy
Jiaxu Chen
Jing Hao
Kai Chen
Di Xie
Shicai Yang
Shiliang Pu
AI4TS
11
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 Strategy
Ke Sun
Bin-Xia Yu
Zhouchen Lin
Zhanxing Zhu
17
5
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
27
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
37
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 Segmentation
Pierrick Coupé
Boris Mansencal
Michael Clement
Rémi Giraud
B. D. D. Senneville
T. Thong
Vincent Lepetit
J. V. Manjón
38
111
0
20 Nov 2019
Learning mappings onto regularized latent spaces for biometric
  authentication
Learning mappings onto regularized latent spaces for biometric authentication
Matteo Testa
Arslan Ali
T. Bianchi
E. Magli
11
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
24
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
21
4
0
19 Nov 2019
Live Face De-Identification in Video
Live Face De-Identification in Video
Oran Gafni
Lior Wolf
Yaniv Taigman
CVBM
PICV
35
134
0
19 Nov 2019
Neural Network Pruning with Residual-Connections and Limited-Data
Neural Network Pruning with Residual-Connections and Limited-Data
Jian-Hao Luo
Jianxin Wu
22
112
0
19 Nov 2019
Preparing Lessons: Improve Knowledge Distillation with Better
  Supervision
Preparing Lessons: Improve Knowledge Distillation with Better Supervision
Tiancheng Wen
Shenqi Lai
Xueming Qian
27
68
0
18 Nov 2019
Learning with Hierarchical Complement Objective
Learning with Hierarchical Complement Objective
Hao-Yun Chen
Li-Huang Tsai
Shih-Chieh Chang
Jia-Yu Pan
Yu-Ting Chen
Wei Wei
Da-Cheng Juan
VLM
21
4
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 Recognition
Satoshi Tsutsui
Yanwei Fu
David J. Crandall
16
37
0
17 Nov 2019
Signed Input Regularization
Signed Input Regularization
Saeid Asgari Taghanaki
Kumar Abhishek
Ghassan Hamarneh
AAML
18
1
0
16 Nov 2019
Music theme recognition using CNN and self-attention
Music theme recognition using CNN and self-attention
Manoj Sukhavasi
Sainath Adapa
ViT
16
17
0
16 Nov 2019
Faster AutoAugment: Learning Augmentation Strategies using
  Backpropagation
Faster AutoAugment: Learning Augmentation Strategies using Backpropagation
Ryuichiro Hataya
Jan Zdenek
Kazuki Yoshizoe
Hideki Nakayama
27
203
0
16 Nov 2019
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
34
2
0
14 Nov 2019
Adversarial Transformations for Semi-Supervised Learning
Adversarial Transformations for Semi-Supervised Learning
Teppei Suzuki
Ikuro Sato
22
13
0
13 Nov 2019
Negative sampling in semi-supervised learning
Negative sampling in semi-supervised learning
John Chen
Vatsal Shah
Anastasios Kyrillidis
36
21
0
12 Nov 2019
Patch augmentation: Towards efficient decision boundaries for neural
  networks
Patch augmentation: Towards efficient decision boundaries for neural networks
Marcus D. Bloice
P. Roth
Andreas Holzinger
AAML
18
2
0
08 Nov 2019
RoIMix: Proposal-Fusion among Multiple Images for Underwater Object
  Detection
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
An Algorithm for Routing Capsules in All Domains
An Algorithm for Routing Capsules in All Domains
Franz A. Heinsen
11
4
0
02 Nov 2019
Confident Learning: Estimating Uncertainty in Dataset Labels
Confident Learning: Estimating Uncertainty in Dataset Labels
Curtis G. Northcutt
Lu Jiang
Isaac L. Chuang
NoLa
46
676
0
31 Oct 2019
bLIMEy: Surrogate Prediction Explanations Beyond LIME
bLIMEy: Surrogate Prediction Explanations Beyond LIME
Kacper Sokol
Alexander Hepburn
Raúl Santos-Rodríguez
Peter A. Flach
FAtt
19
38
0
29 Oct 2019
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