ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2203.05119
  4. Cited By
MetAug: Contrastive Learning via Meta Feature Augmentation

MetAug: Contrastive Learning via Meta Feature Augmentation

10 March 2022
Jiangmeng Li
Wenwen Qiang
Changwen Zheng
Bing-Huang Su
Hui Xiong
ArXivPDFHTML

Papers citing "MetAug: Contrastive Learning via Meta Feature Augmentation"

17 / 17 papers shown
Title
Intelligently Augmented Contrastive Tensor Factorization: Empowering Multi-dimensional Time Series Classification in Low-Data Environments
Intelligently Augmented Contrastive Tensor Factorization: Empowering Multi-dimensional Time Series Classification in Low-Data Environments
Anushiya Arunan
Yan Qin
Xiaoli Li
Yuen Chau
AI4TS
21
0
0
03 May 2025
Graph Self-Supervised Learning with Learnable Structural and Positional Encodings
Graph Self-Supervised Learning with Learnable Structural and Positional Encodings
Asiri Wijesinghe
Hao Zhu
Piotr Koniusz
40
0
0
22 Feb 2025
Feature Augmentation for Self-supervised Contrastive Learning: A Closer
  Look
Feature Augmentation for Self-supervised Contrastive Learning: A Closer Look
Yong Zhang
Rui Zhu
Shifeng Zhang
Xu Zhou
Shifeng Chen
Xiaofan Chen
SSL
30
0
0
16 Oct 2024
Learn To Learn More Precisely
Learn To Learn More Precisely
Runxi Cheng
Yongxian Wei
Xianglong He
Wanyun Zhu
Songsong Huang
Fei Richard Yu
Fei Ma
Chun Yuan
28
0
0
08 Aug 2024
Self-Supervised Representation Learning with Meta Comprehensive
  Regularization
Self-Supervised Representation Learning with Meta Comprehensive Regularization
Huijie Guo
Ying Ba
Jie Hu
Lingyu Si
Wenwen Qiang
Lei Shi
SSL
23
5
0
03 Mar 2024
Parametric Augmentation for Time Series Contrastive Learning
Parametric Augmentation for Time Series Contrastive Learning
Xu Zheng
Tianchun Wang
Wei Cheng
Aitian Ma
Haifeng Chen
Mo Sha
Dongsheng Luo
AI4TS
22
13
0
16 Feb 2024
Hierarchical Topology Isomorphism Expertise Embedded Graph Contrastive
  Learning
Hierarchical Topology Isomorphism Expertise Embedded Graph Contrastive Learning
Jiangmeng Li
Yifan Jin
Hang Gao
Wenwen Qiang
Changwen Zheng
Fuchun Sun
19
5
0
21 Dec 2023
Hacking Task Confounder in Meta-Learning
Hacking Task Confounder in Meta-Learning
Jingyao Wang
Yi Ren
Zeen Song
Xingzhe Su
Changwen Zheng
Wenwen Qiang
CML
23
8
0
10 Dec 2023
Information Theory-Guided Heuristic Progressive Multi-View Coding
Information Theory-Guided Heuristic Progressive Multi-View Coding
Jiangmeng Li
Hang Gao
Wenwen Qiang
Changwen Zheng
22
2
0
21 Aug 2023
Hallucination Improves the Performance of Unsupervised Visual
  Representation Learning
Hallucination Improves the Performance of Unsupervised Visual Representation Learning
Jing Wu
Jennifer Hobbs
N. Hovakimyan
SSL
18
21
0
22 Jul 2023
Towards the Sparseness of Projection Head in Self-Supervised Learning
Towards the Sparseness of Projection Head in Self-Supervised Learning
Zeen Song
Xingzhe Su
Jingyao Wang
Wenwen Qiang
Changwen Zheng
Fuchun Sun
26
3
0
18 Jul 2023
GEDI: GEnerative and DIscriminative Training for Self-Supervised
  Learning
GEDI: GEnerative and DIscriminative Training for Self-Supervised Learning
Emanuele Sansone
Robin Manhaeve
SSL
15
9
0
27 Dec 2022
MetaMask: Revisiting Dimensional Confounder for Self-Supervised Learning
MetaMask: Revisiting Dimensional Confounder for Self-Supervised Learning
Jiangmeng Li
Wenwen Qiang
Yanan Zhang
Wenyi Mo
Changwen Zheng
Bing-Huang Su
Hui Xiong
SSL
15
14
0
16 Sep 2022
A Survey on Green Deep Learning
A Survey on Green Deep Learning
Jingjing Xu
Wangchunshu Zhou
Zhiyi Fu
Hao Zhou
Lei Li
VLM
71
83
0
08 Nov 2021
With a Little Help from My Friends: Nearest-Neighbor Contrastive
  Learning of Visual Representations
With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations
Debidatta Dwibedi
Y. Aytar
Jonathan Tompson
P. Sermanet
Andrew Zisserman
SSL
183
450
0
29 Apr 2021
Fine-Grained Visual Categorization using Meta-Learning Optimization with
  Sample Selection of Auxiliary Data
Fine-Grained Visual Categorization using Meta-Learning Optimization with Sample Selection of Auxiliary Data
Yabin Zhang
Hui Tang
K. Jia
55
94
0
28 Jul 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
243
11,659
0
09 Mar 2017
1