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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
Title
MixText: Linguistically-Informed Interpolation of Hidden Space for
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MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text ClassificationAnnual Meeting of the Association for Computational Linguistics (ACL), 2020
Jiaao Chen
Zichao Yang
Diyi Yang
VLM
218
391
0
25 Apr 2020
Convex Representation Learning for Generalized Invariance in
  Semi-Inner-Product Space
Convex Representation Learning for Generalized Invariance in Semi-Inner-Product SpaceInternational Conference on Machine Learning (ICML), 2020
Yingyi Ma
Vignesh Ganapathiraman
Yaoliang Yu
Xinhua Zhang
195
1
0
25 Apr 2020
Spectral Data Augmentation Techniques to quantify Lung Pathology from
  CT-images
Spectral Data Augmentation Techniques to quantify Lung Pathology from CT-imagesIEEE International Symposium on Biomedical Imaging (ISBI), 2020
Subhradeep Kayal
Florian Dubost
H. Tiddens
Marleen de Bruijne
OOD
75
3
0
24 Apr 2020
SIPA: A Simple Framework for Efficient Networks
SIPA: A Simple Framework for Efficient Networks
Gihun Lee
Sangmin Bae
Jaehoon Oh
Seyoung Yun
112
1
0
24 Apr 2020
Supervised Contrastive Learning
Supervised Contrastive Learning
Prannay Khosla
Piotr Teterwak
Chen Wang
Aaron Sarna
Yonglong Tian
Phillip Isola
Aaron Maschinot
Ce Liu
Dilip Krishnan
SSL
892
5,492
0
23 Apr 2020
YOLOv4: Optimal Speed and Accuracy of Object Detection
YOLOv4: Optimal Speed and Accuracy of Object Detection
Alexey Bochkovskiy
Chien-Yao Wang
H. Liao
VLMObjD
410
14,368
0
23 Apr 2020
MixPUL: Consistency-based Augmentation for Positive and Unlabeled
  Learning
MixPUL: Consistency-based Augmentation for Positive and Unlabeled Learning
Tong Wei
Feng Shi
Hai Wang
Wei-Wei Tu. Yu-Feng Li
117
12
0
20 Apr 2020
Data Augmentation Imbalance For Imbalanced Attribute Classification
Data Augmentation Imbalance For Imbalanced Attribute Classification
Yang Hu
Xiaying Bai
Pan Zhou
Fanhua Shang
Shengmei Shen
CVBM
226
3
0
19 Apr 2020
ResNeSt: Split-Attention Networks
ResNeSt: Split-Attention Networks
Hang Zhang
Chongruo Wu
Zhongyue Zhang
Yi Zhu
Yanghua Peng
...
Tong He
Jonas W. Mueller
R. Manmatha
Mu Li
Alex Smola
454
1,629
0
19 Apr 2020
DMT: Dynamic Mutual Training for Semi-Supervised Learning
DMT: Dynamic Mutual Training for Semi-Supervised LearningPattern Recognition (Pattern Recognit.), 2020
Zhengyang Feng
Qianyu Zhou
Qiqi Gu
Xin Tan
Guangliang Cheng
Xuequan Lu
Jianping Shi
Lizhuang Ma
222
198
0
18 Apr 2020
Triplet Loss for Knowledge Distillation
Triplet Loss for Knowledge DistillationIEEE International Joint Conference on Neural Network (IJCNN), 2020
Hideki Oki
Motoshi Abe
J. Miyao
Takio Kurita
93
17
0
17 Apr 2020
Incorporating Multiple Cluster Centers for Multi-Label Learning
Incorporating Multiple Cluster Centers for Multi-Label LearningInformation Sciences (Inf. Sci.), 2020
Senlin Shu
Fengmao Lv
Jun Huang
Li Li
Shuo He
Jun He
140
8
0
17 Apr 2020
Spatially Attentive Output Layer for Image Classification
Spatially Attentive Output Layer for Image ClassificationComputer Vision and Pattern Recognition (CVPR), 2020
Ildoo Kim
Woonhyuk Baek
Sungwoong Kim
107
27
0
16 Apr 2020
Paraphrase Augmented Task-Oriented Dialog Generation
Paraphrase Augmented Task-Oriented Dialog GenerationAnnual Meeting of the Association for Computational Linguistics (ACL), 2020
Silin Gao
Yichi Zhang
Zhijian Ou
Zhou Yu
163
90
0
16 Apr 2020
Joint Supervised and Self-Supervised Learning for 3D Real-World
  Challenges
Joint Supervised and Self-Supervised Learning for 3D Real-World ChallengesInternational Conference on Pattern Recognition (ICPR), 2020
A. Alliegro
Davide Boscaini
Tatiana Tommasi
3DPCSSL
165
43
0
15 Apr 2020
JCS: An Explainable COVID-19 Diagnosis System by Joint Classification
  and Segmentation
JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and SegmentationIEEE Transactions on Image Processing (TIP), 2020
Yu-Huan Wu
Shanghua Gao
Jie Mei
Jun Xu
Deng-Ping Fan
Chao Zhao
Ming-Ming Cheng
297
421
0
15 Apr 2020
WQT and DG-YOLO: towards domain generalization in underwater object
  detection
WQT and DG-YOLO: towards domain generalization in underwater object detection
Hong Liu
Pinhao Song
Runwei Ding
121
30
0
14 Apr 2020
Are fast labeling methods reliable? A case study of computer-aided
  expert annotations on microscopy slides
Are fast labeling methods reliable? A case study of computer-aided expert annotations on microscopy slidesInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2020
Christian Marzahl
C. Bertram
Marc Aubreville
Anne Petrick
Kristina Weiler
...
Alina Langenhagen
A. Jasensky
J. Voigt
R. Klopfleisch
Andreas Maier
109
18
0
13 Apr 2020
Diversity Helps: Unsupervised Few-shot Learning via Distribution
  Shift-based Data Augmentation
Diversity Helps: Unsupervised Few-shot Learning via Distribution Shift-based Data Augmentation
Tiexin Qin
Wenbin Li
Yinghuan Shi
Yang Gao
124
18
0
13 Apr 2020
OpenMix: Reviving Known Knowledge for Discovering Novel Visual
  Categories in An Open World
OpenMix: Reviving Known Knowledge for Discovering Novel Visual Categories in An Open WorldComputer Vision and Pattern Recognition (CVPR), 2020
Zhun Zhong
Linchao Zhu
Shaozi Li
Shaozi Li
Yi Yang
Andrii Zadaianchuk
VLMCLL
182
136
0
12 Apr 2020
ASL Recognition with Metric-Learning based Lightweight Network
ASL Recognition with Metric-Learning based Lightweight Network
Evgeny Izutov
SLR
188
7
0
10 Apr 2020
Multimodal Categorization of Crisis Events in Social Media
Multimodal Categorization of Crisis Events in Social MediaComputer Vision and Pattern Recognition (CVPR), 2020
Mahdi Abavisani
Liwei Wu
Shengli Hu
Joel R. Tetreault
A. Jaimes
257
110
0
10 Apr 2020
Universal Source-Free Domain Adaptation
Universal Source-Free Domain AdaptationComputer Vision and Pattern Recognition (CVPR), 2020
Jogendra Nath Kundu
Naveen Venkat
V. RahulM.
R. Venkatesh Babu
VLMTTA
219
380
0
09 Apr 2020
Towards Inheritable Models for Open-Set Domain Adaptation
Towards Inheritable Models for Open-Set Domain AdaptationComputer Vision and Pattern Recognition (CVPR), 2020
Jogendra Nath Kundu
Naveen Venkat
R. Ambareesh
V. RahulM.
R. Venkatesh Babu
VLM
167
137
0
09 Apr 2020
Attribute Mix: Semantic Data Augmentation for Fine Grained Recognition
Attribute Mix: Semantic Data Augmentation for Fine Grained RecognitionVisual Communications and Image Processing (VCIP), 2020
Hao Li
Xiaopeng Zhang
H. Xiong
Qi Tian
242
41
0
06 Apr 2020
CNN-MoE based framework for classification of respiratory anomalies and
  lung disease detection
CNN-MoE based framework for classification of respiratory anomalies and lung disease detection
L. D. Pham
Huy P Phan
Ramaswamy Palaniappan
Alfred Mertins
Ian Mcloughlin
87
2
0
04 Apr 2020
SimAug: Learning Robust Representations from Simulation for Trajectory
  Prediction
SimAug: Learning Robust Representations from Simulation for Trajectory Prediction
Junwei Liang
Lu Jiang
Alexander G. Hauptmann
332
19
0
04 Apr 2020
Unsupervised Domain Adaptation with Progressive Domain Augmentation
Unsupervised Domain Adaptation with Progressive Domain Augmentation
Kevin Hua
Yuhong Guo
118
3
0
03 Apr 2020
Guided Variational Autoencoder for Disentanglement Learning
Guided Variational Autoencoder for Disentanglement LearningComputer Vision and Pattern Recognition (CVPR), 2020
Zheng Ding
Yifan Xu
Weijian Xu
Gaurav Parmar
Yang Yang
Max Welling
Zhuowen Tu
DRLCoGe
165
121
0
02 Apr 2020
Improving 3D Object Detection through Progressive Population Based
  Augmentation
Improving 3D Object Detection through Progressive Population Based AugmentationEuropean Conference on Computer Vision (ECCV), 2020
Shuyang Cheng
Zhaoqi Leng
E. D. Cubuk
Barret Zoph
Chunyan Bai
...
Vijay Vasudevan
Congcong Li
Quoc V. Le
Jonathon Shlens
Dragomir Anguelov
3DPC
209
78
0
02 Apr 2020
Deep Entity Matching with Pre-Trained Language Models
Deep Entity Matching with Pre-Trained Language ModelsProceedings of the VLDB Endowment (PVLDB), 2020
Yuliang Li
Jinfeng Li
Yoshihiko Suhara
A. Doan
W. Tan
VLM
290
442
0
01 Apr 2020
Rethinking Data Augmentation for Image Super-resolution: A Comprehensive
  Analysis and a New Strategy
Rethinking Data Augmentation for Image Super-resolution: A Comprehensive Analysis and a New StrategyComputer Vision and Pattern Recognition (CVPR), 2020
Jaejun Yoo
Namhyuk Ahn
Kyung-ah Sohn
SupR
157
169
0
01 Apr 2020
Towards Achieving Adversarial Robustness by Enforcing Feature
  Consistency Across Bit Planes
Towards Achieving Adversarial Robustness by Enforcing Feature Consistency Across Bit PlanesComputer Vision and Pattern Recognition (CVPR), 2020
Sravanti Addepalli
S. VivekB.
Arya Baburaj
Gaurang Sriramanan
R. Venkatesh Babu
AAML
81
37
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Self-Augmentation: Generalizing Deep Networks to Unseen Classes for
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Jinhwan Seo
Hong G Jung
Seong-Whan Lee
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205
42
0
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Improving Perceptual Quality of Drum Transcription with the Expanded
  Groove MIDI Dataset
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Lee F. Callender
Curtis Hawthorne
Jesse Engel
229
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UniformAugment: A Search-free Probabilistic Data Augmentation Approach
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Tom Ching LingChen
Ava Khonsari
Amirreza Lashkari
M. Nazari
Jaspreet Singh Sambee
M. Nascimento
121
60
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Generative Latent Implicit Conditional Optimization when Learning from
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Idan Azuri
D. Weinshall
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Regularizing Class-wise Predictions via Self-knowledge Distillation
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Sukmin Yun
Jongjin Park
Kimin Lee
Jinwoo Shin
237
320
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Neural Networks Are More Productive Teachers Than Human Raters: Active
  Mixup for Data-Efficient Knowledge Distillation from a Blackbox Model
Neural Networks Are More Productive Teachers Than Human Raters: Active Mixup for Data-Efficient Knowledge Distillation from a Blackbox ModelComputer Vision and Pattern Recognition (CVPR), 2020
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Liqiang Wang
Boqing Gong
140
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How Not to Give a FLOP: Combining Regularization and Pruning for
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Emily Wen
Roy Nehoran
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Density-Aware Graph for Deep Semi-Supervised Visual Recognition
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Qi Chu
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Omni-sourced Webly-supervised Learning for Video Recognition
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Haodong Duan
Yue Zhao
Yuanjun Xiong
Wentao Liu
Dahua Lin
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185
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0
29 Mar 2020
Gradient-based Data Augmentation for Semi-Supervised Learning
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H. Kaizuka
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Milking CowMask for Semi-Supervised Image Classification
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Avital Oliver
Tim Salimans
201
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0
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Matrix Smoothing: A Regularization for DNN with Transition Matrix under
  Noisy Labels
Matrix Smoothing: A Regularization for DNN with Transition Matrix under Noisy LabelsIEEE International Conference on Multimedia and Expo (ICME), 2020
Xianbin Lv
Dongxian Wu
Shutao Xia
NoLa
64
2
0
26 Mar 2020
A Survey of Deep Learning for Scientific Discovery
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Erica Schmidt
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331
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Exploring Long Tail Visual Relationship Recognition with Large
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Sherif Abdelkarim
Aniket Agarwal
Panos Achlioptas
Jun Chen
Jiaji Huang
Boyang Albert Li
Kenneth Church
Mohamed Elhoseiny
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429
19
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Training Binary Neural Networks with Real-to-Binary Convolutions
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Circumventing Outliers of AutoAugment with Knowledge Distillation
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