ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2202.03555
  4. Cited By
data2vec: A General Framework for Self-supervised Learning in Speech,
  Vision and Language
v1v2v3 (latest)

data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language

International Conference on Machine Learning (ICML), 2022
7 February 2022
Alexei Baevski
Wei-Ning Hsu
Qiantong Xu
Arun Babu
Jiatao Gu
Michael Auli
    SSLVLMViT
ArXiv (abs)PDFHTML

Papers citing "data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language"

9 / 609 papers shown
Auxiliary Cross-Modal Representation Learning with Triplet Loss
  Functions for Online Handwriting Recognition
Auxiliary Cross-Modal Representation Learning with Triplet Loss Functions for Online Handwriting RecognitionIEEE Access (IEEE Access), 2022
Felix Ott
David Rügamer
Lucas Heublein
B. Bischl
Christopher Mutschler
412
12
0
16 Feb 2022
Context Autoencoder for Self-Supervised Representation Learning
Context Autoencoder for Self-Supervised Representation LearningInternational Journal of Computer Vision (IJCV), 2022
Xiaokang Chen
Mingyu Ding
Xiaodi Wang
Ying Xin
Shentong Mo
Yunhao Wang
Shumin Han
Ping Luo
Gang Zeng
Jingdong Wang
SSL
484
454
0
07 Feb 2022
Adversarial Masking for Self-Supervised Learning
Adversarial Masking for Self-Supervised LearningInternational Conference on Machine Learning (ICML), 2022
Yuge Shi
N. Siddharth
Juil Sock
Adam R. Kosiorek
SSL
441
99
0
31 Jan 2022
PeCo: Perceptual Codebook for BERT Pre-training of Vision Transformers
PeCo: Perceptual Codebook for BERT Pre-training of Vision Transformers
Xiaoyi Dong
Jianmin Bao
Ting Zhang
Dongdong Chen
Weiming Zhang
Lu Yuan
Dong Chen
Fang Wen
Nenghai Yu
Baining Guo
ViT
371
272
0
24 Nov 2021
A Survey of Visual Transformers
A Survey of Visual TransformersIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Yang Liu
Yao Zhang
Yixin Wang
Feng Hou
Jin Yuan
Jiang Tian
Yang Zhang
Peng Wang
Jianping Fan
Zhiqiang He
3DGSViT
470
487
0
11 Nov 2021
GenURL: A General Framework for Unsupervised Representation Learning
GenURL: A General Framework for Unsupervised Representation Learning
Siyuan Li
Zicheng Liu
Z. Zang
Di Wu
Zhiyuan Chen
Stan Z. Li
OOD3DGSOffRL
287
12
0
27 Oct 2021
Wav2vec-S: Semi-Supervised Pre-Training for Low-Resource ASR
Wav2vec-S: Semi-Supervised Pre-Training for Low-Resource ASRInterspeech (Interspeech), 2021
Hanjing Zhu
Li Wang
Yongfeng Zhang
Gaofeng Cheng
Pengyuan Zhang
Yonghong Yan
SSLVLM
254
10
0
09 Oct 2021
Using Self-Supervised Auxiliary Tasks to Improve Fine-Grained Facial Representation
Using Self-Supervised Auxiliary Tasks to Improve Fine-Grained Facial RepresentationSocial Science Research Network (SSRN), 2021
Mahdi Pourmirzaei
G. Montazer
Farzaneh Esmaili
CVBM
269
35
0
13 May 2021
Unsupervised Learning of Visual Features by Contrasting Cluster
  Assignments
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron
Ishan Misra
Julien Mairal
Priya Goyal
Piotr Bojanowski
Armand Joulin
OCLSSL
1.2K
4,680
0
17 Jun 2020
Previous
123...111213
Page 13 of 13
Pageof 13