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1809.02499
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MixUp as Locally Linear Out-Of-Manifold Regularization
7 September 2018
Ziqiao Wang
Yongyi Mao
Richong Zhang
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Papers citing
"MixUp as Locally Linear Out-Of-Manifold Regularization"
50 / 189 papers shown
Breaking the Modality Wall: Time-step Mixup for Efficient Spiking Knowledge Transfer from Static to Event Domain
Yuqi Xie
Shuhan Ye
Yi Yu
Chong Wang
Qixin Zhang
Jiazhen Xu
Le Shen
Yuanbin Qian
Jiangbo Qian
Guoqi Li
132
1
0
15 Nov 2025
Time-step Mixup for Efficient Spiking Knowledge Transfer from Appearance to Event Domain
Yuqi Xie
Shuhan Ye
Yi Yu
Chong Wang
Qixin Zhang
Jiazhen Xu
Le Shen
Yuanbin Qian
Jiangbo Qian
Guoqi Li
192
0
0
16 Sep 2025
Curvature Enhanced Data Augmentation for Regression
Ilya Kaufman Sirot
Omri Azencot
246
1
0
07 Jun 2025
A Generalized Theory of Mixup for Structure-Preserving Synthetic Data
International Conference on Artificial Intelligence and Statistics (AISTATS), 2025
Chungpa Lee
Jongho Im
Joseph H.T. Kim
399
1
0
03 Mar 2025
ReFocus: Reinforcing Mid-Frequency and Key-Frequency Modeling for Multivariate Time Series Forecasting
Guoqi Yu
Yaoming Li
Juncheng Wang
Xiaoyu Guo
Angelica I. Aviles-Rivero
Tong Yang
Shujun Wang
AI4TS
487
5
0
24 Feb 2025
Mixup Regularization: A Probabilistic Perspective
Conference on Uncertainty in Artificial Intelligence (UAI), 2025
Yousef El-Laham
Niccolò Dalmasso
Svitlana Vyetrenko
Vamsi K. Potluru
Manuela Veloso
461
1
0
19 Feb 2025
AdaMixup: A Dynamic Defense Framework for Membership Inference Attack Mitigation
Ying Chen
Jiajing Chen
Yijie Weng
ChiaHua Chang
Dezhi Yu
Guanbiao Lin
MIACV
AAML
420
3
0
04 Jan 2025
LH-Mix: Local Hierarchy Correlation Guided Mixup over Hierarchical Prompt Tuning
Knowledge Discovery and Data Mining (KDD), 2024
Fanshuang Kong
Richong Zhang
Ziqiao Wang
464
2
0
22 Dec 2024
Fed-AugMix: Balancing Privacy and Utility via Data Augmentation
HaoYang Li
Wei Chen
Xiaojin Zhang
FedML
337
0
0
18 Dec 2024
UCDR-Adapter: Exploring Adaptation of Pre-Trained Vision-Language Models for Universal Cross-Domain Retrieval
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Haoyu Jiang
Zhi-Qi Cheng
Gabriel Moreira
Jiawen Zhu
Yuxuan Zhou
Bukun Ren
Jun-Yan He
Jingdong Sun
Xian-Sheng Hua
VLM
391
5
0
14 Dec 2024
ALVIN: Active Learning Via INterpolation
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Michalis Korakakis
Andreas Vlachos
Adrian Weller
357
0
0
11 Oct 2024
Region Mixup
Saptarshi Saha
Utpal Garain
153
0
0
23 Sep 2024
First-Order Manifold Data Augmentation for Regression Learning
Ilya Kaufman
Omri Azencot
260
6
0
16 Jun 2024
A Point-Neighborhood Learning Framework for Nasal Endoscope Image Segmentation
Chenqiang Gao
Wanquan Liu
Chenqiang Gao
Yihui Wen
Rui He
Pengcheng Li
Jintao Zhang
Deyu Meng
218
0
0
30 May 2024
Wearable-based behaviour interpolation for semi-supervised human activity recognition
Haoran Duan
Shidong Wang
Varun Ojha
Shizheng Wang
Yawen Huang
Yang Long
R. Ranjan
Yefeng Zheng
HAI
229
8
0
24 May 2024
Feature Expansion and enhanced Compression for Class Incremental Learning
Quentin Ferdinand
G. Chenadec
Benoit Clement
Panagiotis Papadakis
Quentin Oliveau
CLL
278
4
0
13 May 2024
IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighbors
Shenghe Zheng
Hongzhi Wang
Xianglong Liu
316
6
0
02 May 2024
Boosting Few-Shot Learning via Attentive Feature Regularization
AAAI Conference on Artificial Intelligence (AAAI), 2024
Xingyu Zhu
Shuo Wang
Jinda Lu
Yanbin Hao
Haifeng Liu
Xiangnan He
263
30
0
23 Mar 2024
SynerMix: Synergistic Mixup Solution for Enhanced Intra-Class Cohesion and Inter-Class Separability in Image Classification
Ye Xu
Ya Gao
Xiaorong Qiu
Yang Chen
Ying Ji
465
1
0
21 Mar 2024
TransformMix: Learning Transformation and Mixing Strategies from Data
Tsz-Him Cheung
Dit-Yan Yeung
190
1
0
19 Mar 2024
Key Design Choices in Source-Free Unsupervised Domain Adaptation: An In-depth Empirical Analysis
Andrea Maracani
Raffaello Camoriano
Elisa Maiettini
Davide Talon
Lorenzo Rosasco
Lorenzo Natale
384
1
0
25 Feb 2024
Accuracy-Preserving Calibration via Statistical Modeling on Probability Simplex
Yasushi Esaki
Akihiro Nakamura
Keisuke Kawano
Ryoko Tokuhisa
Takuro Kutsuna
465
4
0
21 Feb 2024
Boosting Semi-Supervised 2D Human Pose Estimation by Revisiting Data Augmentation and Consistency Training
Huayi Zhou
Mukun Luo
Fei Jiang
Yue Ding
Hongtao Lu
Kui Jia
592
1
0
18 Feb 2024
For Better or For Worse? Learning Minimum Variance Features With Label Augmentation
International Conference on Learning Representations (ICLR), 2024
Muthuraman Chidambaram
Rong Ge
AAML
389
3
0
10 Feb 2024
Pushing Boundaries: Mixup's Influence on Neural Collapse
Quinn Fisher
Haoming Meng
Vardan Papyan
AAML
UQCV
319
7
0
09 Feb 2024
Exploring Color Invariance through Image-Level Ensemble Learning
Yunpeng Gong
Jiaquan Li
Lifei Chen
Min Jiang
348
27
0
19 Jan 2024
Augment on Manifold: Mixup Regularization with UMAP
Yousef El-Laham
Elizabeth Fons
Dillon Daudert
Svitlana Vyetrenko
306
5
0
20 Dec 2023
Single-channel speech enhancement using learnable loss mixup
Oscar Chang
Dung N. Tran
K. Koishida
280
7
0
20 Dec 2023
Embedding Space Interpolation Beyond Mini-Batch, Beyond Pairs and Beyond Examples
Neural Information Processing Systems (NeurIPS), 2023
Shashanka Venkataramanan
Ewa Kijak
Laurent Amsaleg
Yannis Avrithis
249
7
0
09 Nov 2023
DP-Mix: Mixup-based Data Augmentation for Differentially Private Learning
Neural Information Processing Systems (NeurIPS), 2023
Wenxuan Bao
Francesco Pittaluga
Vijay Kumar
Vincent Bindschaedler
298
15
0
02 Nov 2023
Tailoring Mixup to Data for Calibration
International Conference on Learning Representations (ICLR), 2023
Quentin Bouniot
Pavlo Mozharovskyi
Florence dÁlché-Buc
518
3
0
02 Nov 2023
Data Optimization in Deep Learning: A Survey
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
Ou Wu
Rujing Yao
377
7
0
25 Oct 2023
LMT: Longitudinal Mixing Training, a Framework to Predict Disease Progression from a Single Image
Rachid Zeghlache
Pierre-Henri Conze
Mostafa EL HABIB DAHO
Yi-Hsuan Li
Hugo Le Boité
...
Pascale Massin
B. Cochener
Ikram Brahim
G. Quellec
M. Lamard
301
4
0
16 Oct 2023
IPMix: Label-Preserving Data Augmentation Method for Training Robust Classifiers
Neural Information Processing Systems (NeurIPS), 2023
Zhenglin Huang
Xianan Bao
Na Zhang
Qingqi Zhang
Xiaomei Tu
Biao Wu
Xi Yang
732
18
0
07 Oct 2023
On the Equivalence of Graph Convolution and Mixup
Xiaotian Han
Hanqing Zeng
Yu Chen
Shaoliang Nie
Jingzhou Liu
...
Karthik Abinav Sankararaman
Song Jiang
Madian Khabsa
Qifan Wang
Helen Zhou
374
1
0
29 Sep 2023
AMPLIFY:Attention-based Mixup for Performance Improvement and Label Smoothing in Transformer
PeerJ Computer Science (PeerJ Comput. Sci.), 2023
Leixin Yang
Yu Xiang
481
3
0
22 Sep 2023
PanoMixSwap Panorama Mixing via Structural Swapping for Indoor Scene Understanding
British Machine Vision Conference (BMVC), 2023
Yu-Cheng Hsieh
Cheng Sun
Suraj Dengale
Min Sun
3DPC
312
2
0
18 Sep 2023
RankMixup: Ranking-Based Mixup Training for Network Calibration
IEEE International Conference on Computer Vision (ICCV), 2023
Jongyoun Noh
Hyekang Park
Junghyup Lee
Bumsub Ham
UQCV
287
21
0
23 Aug 2023
G-Mix: A Generalized Mixup Learning Framework Towards Flat Minima
IEEE Transactions on Artificial Intelligence (IEEE TAI), 2023
Xingyu Li
Bo Tang
AAML
279
1
0
07 Aug 2023
RoSAS: Deep Semi-Supervised Anomaly Detection with Contamination-Resilient Continuous Supervision
Information Processing & Management (IPM), 2023
Hongzuo Xu
Yijie Wang
Guansong Pang
Songlei Jian
Ninghui Liu
Yongjun Wang
239
43
0
25 Jul 2023
Contrastive Meta-Learning for Few-shot Node Classification
Knowledge Discovery and Data Mining (KDD), 2023
Song Wang
Zhen Tan
Huan Liu
Jundong Li
186
28
0
27 Jun 2023
DiffAug: A Diffuse-and-Denoise Augmentation for Training Robust Classifiers
Neural Information Processing Systems (NeurIPS), 2023
Chandramouli Shama Sastry
Sri Harsha Dumpala
Sageev Oore
319
4
0
15 Jun 2023
R-Mixup: Riemannian Mixup for Biological Networks
Knowledge Discovery and Data Mining (KDD), 2023
Xuan Kan
Zimu Li
Hejie Cui
Yue Yu
Ran Xu
Shaojun Yu
Zilong Zhang
Ying Guo
Carl Yang
327
11
0
05 Jun 2023
ShuffleMix: Improving Representations via Channel-Wise Shuffle of Interpolated Hidden States
Kang Liu
Ke Chen
Lihua Guo
Yaowei Wang
Kui Jia
276
0
0
30 May 2023
Mixup-Privacy: A simple yet effective approach for privacy-preserving segmentation
Information Processing in Medical Imaging (IPMI), 2023
B. Kim
Jose Dolz
Pierre-Marc Jodoin
Christian Desrosiers
196
1
0
23 May 2023
Infinite Class Mixup
British Machine Vision Conference (BMVC), 2023
Thomas Mensink
Pascal Mettes
352
3
0
17 May 2023
Hint-Aug: Drawing Hints from Foundation Vision Transformers Towards Boosted Few-Shot Parameter-Efficient Tuning
Computer Vision and Pattern Recognition (CVPR), 2023
Zhongzhi Yu
Shang Wu
Y. Fu
Shunyao Zhang
Yingyan Lin
451
9
0
25 Apr 2023
MixSpeech: Cross-Modality Self-Learning with Audio-Visual Stream Mixup for Visual Speech Translation and Recognition
IEEE International Conference on Computer Vision (ICCV), 2023
Xize Cheng
Lin Li
Tao Jin
Rongjie Huang
Wang Lin
Zehan Wang
Huangdai Liu
Yejin Wang
Aoxiong Yin
Zhou Zhao
249
29
0
09 Mar 2023
M-EBM: Towards Understanding the Manifolds of Energy-Based Models
Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2023
Xiulong Yang
Shihao Ji
248
8
0
08 Mar 2023
Effectiveness of Data Augmentation for Parameter Efficient Tuning with Limited Data
Workshop on Representation Learning for NLP (RepL4NLP), 2023
Stephen Obadinma
Ziqiao Wang
Xiao-Dan Zhu
341
2
0
05 Mar 2023
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