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DiffAug: Enhance Unsupervised Contrastive Learning with
  Domain-Knowledge-Free Diffusion-based Data Augmentation

DiffAug: Enhance Unsupervised Contrastive Learning with Domain-Knowledge-Free Diffusion-based Data Augmentation

10 September 2023
Z. Zang
Hao Luo
Kaidi Wang
Panpan Zhang
F. Wang
Stan. Z Li
Yang You
ArXivPDFHTML

Papers citing "DiffAug: Enhance Unsupervised Contrastive Learning with Domain-Knowledge-Free Diffusion-based Data Augmentation"

8 / 8 papers shown
Title
RapGuard: Safeguarding Multimodal Large Language Models via
  Rationale-aware Defensive Prompting
RapGuard: Safeguarding Multimodal Large Language Models via Rationale-aware Defensive Prompting
Yilei Jiang
Yingshui Tan
Xiangyu Yue
KELM
LRM
46
3
0
25 Dec 2024
DMT-HI: MOE-based Hyperbolic Interpretable Deep Manifold Transformation
  for Unspervised Dimensionality Reduction
DMT-HI: MOE-based Hyperbolic Interpretable Deep Manifold Transformation for Unspervised Dimensionality Reduction
Z. Zang
Yuhao Wang
J. Wu
Hong Liu
Yue Shen
Stan Z. Li
Zhen Lei
131
0
0
25 Oct 2024
GenView: Enhancing View Quality with Pretrained Generative Model for
  Self-Supervised Learning
GenView: Enhancing View Quality with Pretrained Generative Model for Self-Supervised Learning
Xiaojie Li
Yibo Yang
Hefei Ling
Jianlong Wu
Yue Yu
Guohao Li
Min Zhang
SSL
34
6
0
18 Mar 2024
A Survey on Data Augmentation in Large Model Era
A Survey on Data Augmentation in Large Model Era
Yue Zhou
Chenlu Guo
Xu Wang
Yi-Ju Chang
Yuan Wu
LM&MA
VLM
49
23
0
27 Jan 2024
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
305
7,443
0
11 Nov 2021
A Primer on Contrastive Pretraining in Language Processing: Methods,
  Lessons Learned and Perspectives
A Primer on Contrastive Pretraining in Language Processing: Methods, Lessons Learned and Perspectives
Nils Rethmeier
Isabelle Augenstein
SSL
VLM
90
90
0
25 Feb 2021
Understanding How Dimension Reduction Tools Work: An Empirical Approach
  to Deciphering t-SNE, UMAP, TriMAP, and PaCMAP for Data Visualization
Understanding How Dimension Reduction Tools Work: An Empirical Approach to Deciphering t-SNE, UMAP, TriMAP, and PaCMAP for Data Visualization
Yingfan Wang
Haiyang Huang
Cynthia Rudin
Yaron Shaposhnik
159
301
0
08 Dec 2020
Image GANs meet Differentiable Rendering for Inverse Graphics and
  Interpretable 3D Neural Rendering
Image GANs meet Differentiable Rendering for Inverse Graphics and Interpretable 3D Neural Rendering
Yuxuan Zhang
Wenzheng Chen
Huan Ling
Jun Gao
Yinan Zhang
Antonio Torralba
Sanja Fidler
DRL
98
138
0
18 Oct 2020
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