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. 2012.13493
  4. Cited By
Self-supervised Pre-training with Hard Examples Improves Visual
  Representations
v1v2 (latest)

Self-supervised Pre-training with Hard Examples Improves Visual Representations

25 December 2020
Chunyuan Li
Xiujun Li
Lei Zhang
Baolin Peng
Mingyuan Zhou
Jianfeng Gao
    SSL
ArXiv (abs)PDFHTML

Papers citing "Self-supervised Pre-training with Hard Examples Improves Visual Representations"

15 / 15 papers shown
Understanding Hyperbolic Metric Learning through Hard Negative Sampling
Understanding Hyperbolic Metric Learning through Hard Negative Sampling
Yun Yue
Fangzhou Lin
Guanyi Mou
Ziming Zhang
SSL
361
15
0
23 Apr 2024
LeOCLR: Leveraging Original Images for Contrastive Learning of Visual Representations
LeOCLR: Leveraging Original Images for Contrastive Learning of Visual Representations
Mohammad Alkhalefi
Georgios Leontidis
Mingjun Zhong
547
4
0
11 Mar 2024
Know Your Self-supervised Learning: A Survey on Image-based Generative
  and Discriminative Training
Know Your Self-supervised Learning: A Survey on Image-based Generative and Discriminative Training
Utku Ozbulak
Hyun Jung Lee
Beril Boga
Esla Timothy Anzaku
Ho-min Park
Arnout Van Messem
W. D. Neve
J. Vankerschaver
DiffM
338
51
0
23 May 2023
Contrastive pretraining for semantic segmentation is robust to noisy
  positive pairs
Contrastive pretraining for semantic segmentation is robust to noisy positive pairs
Sebastian Gerard
Josephine Sullivan
264
1
0
24 Nov 2022
Learning crop type mapping from regional label proportions in
  large-scale SAR and optical imagery
Learning crop type mapping from regional label proportions in large-scale SAR and optical imageryIEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), 2022
L. E. L. Rosa
Dario Augusto Borges Oliveira
Pedram Ghamisi
245
10
0
24 Aug 2022
A Simple Data Mixing Prior for Improving Self-Supervised Learning
A Simple Data Mixing Prior for Improving Self-Supervised LearningComputer Vision and Pattern Recognition (CVPR), 2022
Sucheng Ren
Huiyu Wang
Zhengqi Gao
Shengfeng He
Alan Yuille
Yuyin Zhou
Cihang Xie
289
45
0
15 Jun 2022
Improving Self-supervised Learning with Hardness-aware Dynamic
  Curriculum Learning: An Application to Digital Pathology
Improving Self-supervised Learning with Hardness-aware Dynamic Curriculum Learning: An Application to Digital Pathology
C. Srinidhi
Anne L. Martel
293
25
0
16 Aug 2021
Efficient Self-supervised Vision Transformers for Representation
  Learning
Efficient Self-supervised Vision Transformers for Representation LearningInternational Conference on Learning Representations (ICLR), 2021
Chunyuan Li
Jianwei Yang
Pengchuan Zhang
Mei Gao
Bin Xiao
Xiyang Dai
Lu Yuan
Jianfeng Gao
ViT
358
227
0
17 Jun 2021
Recent advances and clinical applications of deep learning in medical
  image analysis
Recent advances and clinical applications of deep learning in medical image analysis
Xuxin Chen
Ximing Wang
Kecheng Zhang
K. Fung
T. Thai
K. Moore
Robert S. Mannel
Hong Liu
B. Zheng
Y. Qiu
OOD
490
880
0
27 May 2021
Contrastive Attraction and Contrastive Repulsion for Representation
  Learning
Contrastive Attraction and Contrastive Repulsion for Representation Learning
Huangjie Zheng
Xu Chen
Jiangchao Yao
Hongxia Yang
Chunyuan Li
Ya Zhang
Hao Zhang
Ivor Tsang
Jingren Zhou
Mingyuan Zhou
SSL
439
14
0
08 May 2021
On Feature Decorrelation in Self-Supervised Learning
On Feature Decorrelation in Self-Supervised LearningIEEE International Conference on Computer Vision (ICCV), 2021
Tianyu Hua
Wenxiao Wang
Zihui Xue
Sucheng Ren
Yue Wang
Hang Zhao
SSLOOD
544
210
0
02 May 2021
Bootstrapping Your Own Positive Sample: Contrastive Learning With
  Electronic Health Record Data
Bootstrapping Your Own Positive Sample: Contrastive Learning With Electronic Health Record Data
Tingyi Wanyan
Jing Zhang
Ying Ding
A. Azad
Zinan Lin
B. Glicksberg
199
13
0
07 Apr 2021
Few-Shot Named Entity Recognition: A Comprehensive Study
Few-Shot Named Entity Recognition: A Comprehensive Study
Jiaxin Huang
Chunyuan Li
K. Subudhi
Damien Jose
S. Balakrishnan
Weizhu Chen
Baolin Peng
Jianfeng Gao
Jiawei Han
329
83
0
29 Dec 2020
RADDLE: An Evaluation Benchmark and Analysis Platform for Robust
  Task-oriented Dialog Systems
RADDLE: An Evaluation Benchmark and Analysis Platform for Robust Task-oriented Dialog SystemsAnnual Meeting of the Association for Computational Linguistics (ACL), 2020
Baolin Peng
Chunyuan Li
Zhu Zhang
Chenguang Zhu
Jinchao Li
Jianfeng Gao
224
53
0
29 Dec 2020
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
1.5K
4,857
0
17 Jun 2020
1
Page 1 of 1