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. 2011.10566
  4. Cited By
Exploring Simple Siamese Representation Learning

Exploring Simple Siamese Representation Learning

20 November 2020
Xinlei Chen
Kaiming He
    SSL
ArXiv (abs)PDFHTML

Papers citing "Exploring Simple Siamese Representation Learning"

50 / 2,357 papers shown
Title
Continual Contrastive Learning for Image Classification
Continual Contrastive Learning for Image Classification
Zhiwei Lin
Yongtao Wang
Hongxiang Lin
SSLCLL
75
15
0
05 Jul 2021
TENET: A Time-reversal Enhancement Network for Noise-robust ASR
TENET: A Time-reversal Enhancement Network for Noise-robust ASR
Fu-An Chao
Shao-Wei Fan-Jiang
Bi-Cheng Yan
J. Hung
Berlin Chen
62
13
0
04 Jul 2021
Fair Visual Recognition in Limited Data Regime using Self-Supervision
  and Self-Distillation
Fair Visual Recognition in Limited Data Regime using Self-Supervision and Self-Distillation
Pratik Mazumder
Pravendra Singh
Vinay P. Namboodiri
SSL
43
2
0
30 Jun 2021
Multi-Source domain adaptation via supervised contrastive learning and
  confident consistency regularization
Multi-Source domain adaptation via supervised contrastive learning and confident consistency regularization
Marin Scalbert
Maria Vakalopoulou
Florent Couzinié-Devy
81
19
0
30 Jun 2021
Self-Contrastive Learning: Single-viewed Supervised Contrastive
  Framework using Sub-network
Self-Contrastive Learning: Single-viewed Supervised Contrastive Framework using Sub-network
Sangmin Bae
Sungnyun Kim
Jongwoo Ko
Gihun Lee
SeungJong Noh
Se-Young Yun
SSL
81
6
0
29 Jun 2021
Open-Set Representation Learning through Combinatorial Embedding
Open-Set Representation Learning through Combinatorial Embedding
Geeho Kim
Junoh Kang
Bohyung Han
30
1
0
29 Jun 2021
A Theory-Driven Self-Labeling Refinement Method for Contrastive
  Representation Learning
A Theory-Driven Self-Labeling Refinement Method for Contrastive Representation Learning
Pan Zhou
Caiming Xiong
Xiaotong Yuan
Guosheng Lin
SSL
61
12
0
28 Jun 2021
Co$^2$L: Contrastive Continual Learning
Co2^22L: Contrastive Continual Learning
Hyuntak Cha
Jaeho Lee
Jinwoo Shin
CLLSSLVLM
147
309
0
28 Jun 2021
Time-Series Representation Learning via Temporal and Contextual
  Contrasting
Time-Series Representation Learning via Temporal and Contextual Contrasting
Emadeldeen Eldele
Mohamed Ragab
Zhenghua Chen
Min-man Wu
C. Kwoh
Xiaoli Li
Cuntai Guan
AI4TS
102
517
0
26 Jun 2021
Intrinsically Motivated Self-supervised Learning in Reinforcement
  Learning
Intrinsically Motivated Self-supervised Learning in Reinforcement Learning
Yue Zhao
Chenzhuang Du
Hang Zhao
Tiejun Li
SSL
60
5
0
26 Jun 2021
From Canonical Correlation Analysis to Self-supervised Graph Neural
  Networks
From Canonical Correlation Analysis to Self-supervised Graph Neural Networks
Hengrui Zhang
Qitian Wu
Junchi Yan
David Wipf
Philip S. Yu
SSL
97
223
0
23 Jun 2021
Bootstrap Representation Learning for Segmentation on Medical Volumes
  and Sequences
Bootstrap Representation Learning for Segmentation on Medical Volumes and Sequences
Zejian Chen
Wei Zhuo
Tianfu Wang
Wufeng Xue
Dong Ni
101
6
0
23 Jun 2021
Unsupervised Object-Level Representation Learning from Scene Images
Unsupervised Object-Level Representation Learning from Scene Images
Jiahao Xie
Xiaohang Zhan
Ziwei Liu
Yew-Soon Ong
Chen Change Loy
SSLOCL
88
77
0
22 Jun 2021
Winning the CVPR'2021 Kinetics-GEBD Challenge: Contrastive Learning
  Approach
Winning the CVPR'2021 Kinetics-GEBD Challenge: Contrastive Learning Approach
Hyolim Kang
Jinwoo Kim
Kyungmin Kim
Taehyun Kim
Seon Joo Kim
41
18
0
22 Jun 2021
Can contrastive learning avoid shortcut solutions?
Can contrastive learning avoid shortcut solutions?
Joshua Robinson
Li Sun
Ke Yu
Kayhan Batmanghelich
Stefanie Jegelka
S. Sra
SSL
110
146
0
21 Jun 2021
Investigating the Role of Negatives in Contrastive Representation
  Learning
Investigating the Role of Negatives in Contrastive Representation Learning
Jordan T. Ash
Surbhi Goel
A. Krishnamurthy
Dipendra Kumar Misra
SSL
88
54
0
18 Jun 2021
MaCLR: Motion-aware Contrastive Learning of Representations for Videos
MaCLR: Motion-aware Contrastive Learning of Representations for Videos
Fanyi Xiao
Joseph Tighe
Davide Modolo
SSL
68
14
0
17 Jun 2021
Long-Short Temporal Contrastive Learning of Video Transformers
Long-Short Temporal Contrastive Learning of Video Transformers
Jue Wang
Gedas Bertasius
Du Tran
Lorenzo Torresani
VLMViT
153
50
0
17 Jun 2021
Self-Supervised Learning with Kernel Dependence Maximization
Self-Supervised Learning with Kernel Dependence Maximization
Yazhe Li
Roman Pogodin
Danica J. Sutherland
Arthur Gretton
SSL
97
84
0
15 Jun 2021
BEiT: BERT Pre-Training of Image Transformers
BEiT: BERT Pre-Training of Image Transformers
Hangbo Bao
Li Dong
Songhao Piao
Furu Wei
ViT
355
2,853
0
15 Jun 2021
Cluster-guided Asymmetric Contrastive Learning for Unsupervised Person
  Re-Identification
Cluster-guided Asymmetric Contrastive Learning for Unsupervised Person Re-Identification
Mingkun Li
Chun-Guang Li
Jun Guo
SSL
89
71
0
15 Jun 2021
HuBERT: Self-Supervised Speech Representation Learning by Masked
  Prediction of Hidden Units
HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units
Wei-Ning Hsu
Benjamin Bolte
Yao-Hung Hubert Tsai
Kushal Lakhotia
Ruslan Salakhutdinov
Abdel-rahman Mohamed
SSL
190
3,013
0
14 Jun 2021
Pre-Trained Models: Past, Present and Future
Pre-Trained Models: Past, Present and Future
Xu Han
Zhengyan Zhang
Ning Ding
Yuxian Gu
Xiao Liu
...
Jie Tang
Ji-Rong Wen
Jinhui Yuan
Wayne Xin Zhao
Jun Zhu
AIFinMQAI4MH
174
863
0
14 Jun 2021
Understanding Latent Correlation-Based Multiview Learning and
  Self-Supervision: An Identifiability Perspective
Understanding Latent Correlation-Based Multiview Learning and Self-Supervision: An Identifiability Perspective
Qinjie Lyu
Xiao Fu
Weiran Wang
Songtao Lu
SSL
89
31
0
14 Jun 2021
Revisiting consistency for semi-supervised semantic segmentation
Revisiting consistency for semi-supervised semantic segmentation
Ivan Grubišić
Marin Orsic
Sinisa Segvic
52
5
0
13 Jun 2021
D2C: Diffusion-Denoising Models for Few-shot Conditional Generation
D2C: Diffusion-Denoising Models for Few-shot Conditional Generation
Abhishek Sinha
Jiaming Song
Chenlin Meng
Stefano Ermon
VLMDiffM
132
121
0
12 Jun 2021
Spectral Unsupervised Domain Adaptation for Visual Recognition
Spectral Unsupervised Domain Adaptation for Visual Recognition
Jingyi Zhang
Jiaxing Huang
Zichen Tian
Shijian Lu
82
68
0
11 Jun 2021
Revisiting Contrastive Methods for Unsupervised Learning of Visual
  Representations
Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations
Wouter Van Gansbeke
Simon Vandenhende
Stamatios Georgoulis
Luc Van Gool
SSL
150
66
0
10 Jun 2021
Beyond BatchNorm: Towards a Unified Understanding of Normalization in
  Deep Learning
Beyond BatchNorm: Towards a Unified Understanding of Normalization in Deep Learning
Ekdeep Singh Lubana
Robert P. Dick
Hidenori Tanaka
80
39
0
10 Jun 2021
Self-Supervised Learning with Data Augmentations Provably Isolates
  Content from Style
Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style
Julius von Kügelgen
Yash Sharma
Luigi Gresele
Wieland Brendel
Bernhard Schölkopf
M. Besserve
Francesco Locatello
133
317
0
08 Jun 2021
Interpretable agent communication from scratch (with a generic visual
  processor emerging on the side)
Interpretable agent communication from scratch (with a generic visual processor emerging on the side)
Roberto Dessì
Eugene Kharitonov
Marco Baroni
93
28
0
08 Jun 2021
Provable Guarantees for Self-Supervised Deep Learning with Spectral
  Contrastive Loss
Provable Guarantees for Self-Supervised Deep Learning with Spectral Contrastive Loss
Jeff Z. HaoChen
Colin Wei
Adrien Gaidon
Tengyu Ma
SSL
103
322
0
08 Jun 2021
Mean-Shifted Contrastive Loss for Anomaly Detection
Mean-Shifted Contrastive Loss for Anomaly Detection
Tal Reiss
Yedid Hoshen
81
118
0
07 Jun 2021
Efficient Training of Visual Transformers with Small Datasets
Efficient Training of Visual Transformers with Small Datasets
Yahui Liu
E. Sangineto
Wei Bi
N. Sebe
Bruno Lepri
Marco De Nadai
ViT
75
174
0
07 Jun 2021
Understand and Improve Contrastive Learning Methods for Visual
  Representation: A Review
Understand and Improve Contrastive Learning Methods for Visual Representation: A Review
Ran Liu
SSL
62
12
0
06 Jun 2021
Large-scale Unsupervised Semantic Segmentation
Large-scale Unsupervised Semantic Segmentation
Shangqi Gao
Zhong-Yu Li
Ming-Hsuan Yang
Mingg-Ming Cheng
Junwei Han
Philip Torr
UQCV
125
91
0
06 Jun 2021
Signal Transformer: Complex-valued Attention and Meta-Learning for
  Signal Recognition
Signal Transformer: Complex-valued Attention and Meta-Learning for Signal Recognition
Yihong Dong
Ying Peng
Muqiao Yang
Songtao Lu
Qingjiang Shi
103
9
0
05 Jun 2021
Aligning Pretraining for Detection via Object-Level Contrastive Learning
Aligning Pretraining for Detection via Object-Level Contrastive Learning
Fangyun Wei
Yue Gao
Zhirong Wu
Han Hu
Stephen Lin
ObjD
70
148
0
04 Jun 2021
Self-Supervised Learning of Domain Invariant Features for Depth
  Estimation
Self-Supervised Learning of Domain Invariant Features for Depth Estimation
Hiroyasu Akada
S. Bhat
Ibraheem Alhashim
Peter Wonka
OODSSLMDE
93
15
0
04 Jun 2021
Graph Barlow Twins: A self-supervised representation learning framework
  for graphs
Graph Barlow Twins: A self-supervised representation learning framework for graphs
Piotr Bielak
Tomasz Kajdanowicz
Nitesh Chawla
SSL
68
139
0
04 Jun 2021
ASCNet: Self-supervised Video Representation Learning with
  Appearance-Speed Consistency
ASCNet: Self-supervised Video Representation Learning with Appearance-Speed Consistency
Deng Huang
Wenhao Wu
Weiwen Hu
Xu Liu
Dongliang He
Zhihua Wu
Xiangmiao Wu
Ming Tan
Errui Ding
SSL
69
55
0
04 Jun 2021
Bi-Granularity Contrastive Learning for Post-Training in Few-Shot Scene
Bi-Granularity Contrastive Learning for Post-Training in Few-Shot Scene
Ruikun Luo
Guanhuan Huang
Xiaojun Quan
CLL
78
10
0
04 Jun 2021
Self-Guided Contrastive Learning for BERT Sentence Representations
Self-Guided Contrastive Learning for BERT Sentence Representations
Taeuk Kim
Kang Min Yoo
Sang-goo Lee
SSL
106
205
0
03 Jun 2021
SAINT: Improved Neural Networks for Tabular Data via Row Attention and
  Contrastive Pre-Training
SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training
Gowthami Somepalli
Micah Goldblum
Avi Schwarzschild
C. Bayan Bruss
Tom Goldstein
LMTD
105
335
0
02 Jun 2021
Bootstrap Your Own Correspondences
Bootstrap Your Own Correspondences
Mohamed El Banani
Justin Johnson
3DPCSSL
73
35
0
01 Jun 2021
Exploring the Diversity and Invariance in Yourself for Visual
  Pre-Training Task
Exploring the Diversity and Invariance in Yourself for Visual Pre-Training Task
Longhui Wei
Lingxi Xie
Wen-gang Zhou
Houqiang Li
Qi Tian
SSL
72
3
0
01 Jun 2021
Toward Understanding the Feature Learning Process of Self-supervised
  Contrastive Learning
Toward Understanding the Feature Learning Process of Self-supervised Contrastive Learning
Zixin Wen
Yuanzhi Li
SSLMLT
88
136
0
31 May 2021
Diffusion-Based Representation Learning
Diffusion-Based Representation Learning
K. Abstreiter
Sarthak Mittal
Stefan Bauer
Bernhard Schölkopf
Arash Mehrjou
DiffM
87
58
0
29 May 2021
Multiple Domain Experts Collaborative Learning: Multi-Source Domain
  Generalization For Person Re-Identification
Multiple Domain Experts Collaborative Learning: Multi-Source Domain Generalization For Person Re-Identification
Shijie Yu
Feng Zhu
Dapeng Chen
Rui Zhao
Haobin Chen
Shixiang Tang
Jinguo Zhu
Yu Qiao
OOD
98
15
0
26 May 2021
GraphVICRegHSIC: Towards improved self-supervised representation
  learning for graphs with a hyrbid loss function
GraphVICRegHSIC: Towards improved self-supervised representation learning for graphs with a hyrbid loss function
Sayan Nag
SSL
48
0
0
25 May 2021
Previous
123...4445464748
Next