MixUp as Locally Linear Out-Of-Manifold Regularization

7 September 2018

Papers citing "MixUp as Locally Linear Out-Of-Manifold Regularization"

50 / 76 papers shown

Title
Mixup Regularization: A Probabilistic Perspective Yousef El-Laham Niccolò Dalmasso Svitlana Vyetrenko Vamsi K. Potluru Manuela Veloso 58 0 0 20 Feb 2025
LH-Mix: Local Hierarchy Correlation Guided Mixup over Hierarchical Prompt Tuning Fanshuang Kong Richong Zhang Ziqiao Wang 80 0 0 22 Dec 2024
Accuracy-Preserving Calibration via Statistical Modeling on Probability Simplex Yasushi Esaki Akihiro Nakamura Keisuke Kawano Ryoko Tokuhisa Takuro Kutsuna 48 0 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 51 0 0 18 Feb 2024
For Better or For Worse? Learning Minimum Variance Features With Label Augmentation Muthuraman Chidambaram Rong Ge AAML 35 0 0 10 Feb 2024
Pushing Boundaries: Mixup's Influence on Neural Collapse Quinn Fisher Haoming Meng Vardan Papyan AAML UQCV 49 5 0 09 Feb 2024
Single-channel speech enhancement using learnable loss mixup Oscar Chang Dung N. Tran K. Koishida 51 7 0 20 Dec 2023
Embedding Space Interpolation Beyond Mini-Batch, Beyond Pairs and Beyond Examples Shashanka Venkataramanan Ewa Kijak Laurent Amsaleg Yannis Avrithis 33 4 0 09 Nov 2023
Tailoring Mixup to Data for Calibration Quentin Bouniot Pavlo Mozharovskyi Florence dÁlché-Buc 61 1 0 02 Nov 2023
AMPLIFY:Attention-based Mixup for Performance Improvement and Label Smoothing in Transformer Leixin Yang Yu Xiang 31 0 0 22 Sep 2023
PanoMixSwap Panorama Mixing via Structural Swapping for Indoor Scene Understanding Yu-Cheng Hsieh Cheng Sun Suraj Dengale Min Sun 3DPC 36 1 0 18 Sep 2023
R-Mixup: Riemannian Mixup for Biological Networks Xuan Kan Zimu Li Hejie Cui Yue Yu Ran Xu Shaojun Yu Zilong Zhang Ying Guo Carl Yang 51 6 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 45 0 0 30 May 2023
Infinite Class Mixup Thomas Mensink Pascal Mettes 34 2 0 17 May 2023
Over-training with Mixup May Hurt Generalization Zixuan Liu Ziqiao Wang Hongyu Guo Yongyi Mao NoLa 36 11 0 02 Mar 2023
CUDA: Curriculum of Data Augmentation for Long-Tailed Recognition Sumyeong Ahn Jongwoo Ko Se-Young Yun 43 30 0 10 Feb 2023
OccluMix: Towards De-Occlusion Virtual Try-on by Semantically-Guided Mixup Zhi Yang Junyang Chen Yukai Shi Hao Li Tianshui Chen Liang Lin DiffM 88 16 0 03 Jan 2023
A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability Chengtai Cao Fan Zhou Yurou Dai Jianping Wang Kunpeng Zhang AAML 31 28 0 21 Dec 2022
Expeditious Saliency-guided Mix-up through Random Gradient Thresholding Minh-Long Luu Zeyi Huang Eric P. Xing Yong Jae Lee Haohan Wang AAML 41 1 0 09 Dec 2022
GraphMAD: Graph Mixup for Data Augmentation using Data-Driven Convex Clustering Madeline Navarro Santiago Segarra 43 7 0 27 Oct 2022
ScoreMix: A Scalable Augmentation Strategy for Training GANs with Limited Data Jie Cao Mandi Luo Junchi Yu Mingmin Yang Ran He 40 4 0 27 Oct 2022
Decoupled Mixup for Generalized Visual Recognition Haozhe Liu Wentian Zhang Jinheng Xie Haoqian Wu Bing Li Ziqi Zhang Yuexiang Li Yawen Huang Guohao Li Yefeng Zheng 29 1 0 26 Oct 2022
Provably Learning Diverse Features in Multi-View Data with Midpoint Mixup Muthuraman Chidambaram Xiang Wang Chenwei Wu Rong Ge MLT 23 8 0 24 Oct 2022
Learning Gradient-based Mixup towards Flatter Minima for Domain Generalization Danni Peng Sinno Jialin Pan 40 2 0 29 Sep 2022
DoubleMix: Simple Interpolation-Based Data Augmentation for Text Classification Hui Chen Wei Han Diyi Yang Soujanya Poria 23 12 0 12 Sep 2022
Open-Set Semi-Supervised Object Detection Yen-Cheng Liu Chih-Yao Ma Xiaoliang Dai Junjiao Tian Peter Vajda Zijian He Z. Kira 23 22 0 29 Aug 2022
Teach me how to Interpolate a Myriad of Embeddings Shashanka Venkataramanan Ewa Kijak Laurent Amsaleg Yannis Avrithis 53 2 0 29 Jun 2022
Balanced Product of Calibrated Experts for Long-Tailed Recognition Emanuel Sanchez Aimar Arvi Jonnarth Michael Felsberg Marco Kuhlmann 28 22 0 10 Jun 2022
Robust Representation via Dynamic Feature Aggregation Haozhe Liu Haoqin Ji Yuexiang Li Nanjun He Haoqian Wu Feng Liu Linlin Shen Yefeng Zheng AAML OOD 37 3 0 16 May 2022
Universum-inspired Supervised Contrastive Learning Aiyang Han Chuanxing Geng Songcan Chen SSL 29 3 0 22 Apr 2022
Harnessing Hard Mixed Samples with Decoupled Regularizer Zicheng Liu Siyuan Li Ge Wang Cheng Tan Lirong Wu Stan Z. Li 61 18 0 21 Mar 2022
Contrastive-mixup learning for improved speaker verification Xin Zhang Minho Jin R. Cheng Ruirui Li Eunjung Han A. Stolcke AAML SSL 25 10 0 22 Feb 2022
Unified smoke and fire detection in an evolutionary framework with self-supervised progressive data augment Han Zhang Suyan Yang Hongyong Wang zhongyan lu Helin Sun 14 0 0 16 Feb 2022
A Ranking Game for Imitation Learning Harshit S. Sikchi Akanksha Saran Wonjoon Goo S. Niekum OffRL 30 22 0 07 Feb 2022
Preventing Manifold Intrusion with Locality: Local Mixup Raphael Baena Lucas Drumetz Vincent Gripon AAML 38 15 0 12 Jan 2022
Saliency Grafting: Innocuous Attribution-Guided Mixup with Calibrated Label Mixing Joonhyung Park J. Yang Jinwoo Shin Sung Ju Hwang Eunho Yang 38 23 0 16 Dec 2021
To Augment or Not to Augment? A Comparative Study on Text Augmentation Techniques for Low-Resource NLP Gözde Gül Sahin 44 33 0 18 Nov 2021
Graph Transplant: Node Saliency-Guided Graph Mixup with Local Structure Preservation Joonhyung Park Hajin Shim Eunho Yang 79 49 0 10 Nov 2021
MixSiam: A Mixture-based Approach to Self-supervised Representation Learning Xiaoyang Guo Tianhao Zhao Yutian Lin Bo Du SSL 30 6 0 04 Nov 2021
Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples Kanghyun Choi Deokki Hong Noseong Park Youngsok Kim Jinho Lee MQ 27 64 0 04 Nov 2021
Towards Understanding the Data Dependency of Mixup-style Training Muthuraman Chidambaram Xiang Wang Yuzheng Hu Chenwei Wu Rong Ge UQCV 49 24 0 14 Oct 2021
Mix3D: Out-of-Context Data Augmentation for 3D Scenes Alexey Nekrasov Jonas Schult Or Litany Bastian Leibe Francis Engelmann 3DPC 164 154 0 05 Oct 2021
SynFace: Face Recognition with Synthetic Data Haibo Qiu Baosheng Yu Dihong Gong Zhifeng Li Wei Liu Dacheng Tao 27 124 0 18 Aug 2021
An overview of mixing augmentation methods and augmentation strategies Dominik Lewy Jacek Mańdziuk 33 61 0 21 Jul 2021
Recent Deep Semi-supervised Learning Approaches and Related Works Gyeongho Kim SSL 15 10 0 22 Jun 2021
Survey: Image Mixing and Deleting for Data Augmentation Humza Naveed Saeed Anwar Munawar Hayat Kashif Javed Ajmal Mian 45 78 0 13 Jun 2021
Out-of-Manifold Regularization in Contextual Embedding Space for Text Classification Seonghyeon Lee Dongha Lee Hwanjo Yu 24 4 0 14 May 2021
Salient Objects in Clutter Deng-Ping Fan Jing Zhang Gang Xu Mingg-Ming Cheng Ling Shao 44 44 0 07 May 2021
Proxy Synthesis: Learning with Synthetic Classes for Deep Metric Learning Geonmo Gu ByungSoo Ko Han-Gyu Kim 27 36 0 29 Mar 2021
AlignMixup: Improving Representations By Interpolating Aligned Features Shashanka Venkataramanan Ewa Kijak Laurent Amsaleg Yannis Avrithis WSOL 35 61 0 29 Mar 2021