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
Self-Supervised Classification Network
Self-Supervised Classification Network
Elad Amrani
Leonid Karlinsky
A. Bronstein
SSL
66
29
0
19 Mar 2021
Efficient Visual Pretraining with Contrastive Detection
Efficient Visual Pretraining with Contrastive Detection
Olivier J. Hénaff
Skanda Koppula
Jean-Baptiste Alayrac
Aaron van den Oord
Oriol Vinyals
João Carreira
VLMSSL
76
166
0
19 Mar 2021
UniMoCo: Unsupervised, Semi-Supervised and Full-Supervised Visual
  Representation Learning
UniMoCo: Unsupervised, Semi-Supervised and Full-Supervised Visual Representation Learning
Zhigang Dai
Bolun Cai
Yugeng Lin
Junying Chen
SSL
68
6
0
19 Mar 2021
XLST: Cross-lingual Self-training to Learn Multilingual Representation
  for Low Resource Speech Recognition
XLST: Cross-lingual Self-training to Learn Multilingual Representation for Low Resource Speech Recognition
Zi-qiang Zhang
Yan Song
Ming Wu
Xin Fang
Lirong Dai
SSL
52
21
0
15 Mar 2021
Improving Context-Based Meta-Reinforcement Learning with Self-Supervised
  Trajectory Contrastive Learning
Improving Context-Based Meta-Reinforcement Learning with Self-Supervised Trajectory Contrastive Learning
Bernie Wang
Si-ting Xu
Kurt Keutzer
Yang Gao
Bichen Wu
SSLOffRL
61
7
0
10 Mar 2021
SimTriplet: Simple Triplet Representation Learning with a Single GPU
SimTriplet: Simple Triplet Representation Learning with a Single GPU
Quan Liu
Peter C. Louis
Yuzhe Lu
Aadarsh Jha
Mengyang Zhao
...
Joseph T. Roland
Haichun Yang
Shilin Zhao
L. Wheless
Yuankai Huo
72
36
0
09 Mar 2021
Deeply Unsupervised Patch Re-Identification for Pre-training Object
  Detectors
Deeply Unsupervised Patch Re-Identification for Pre-training Object Detectors
Jian Ding
Enze Xie
Hang Xu
Chenhan Jiang
Zhenguo Li
Ping Luo
Guisong Xia
66
16
0
08 Mar 2021
Imbalance-Aware Self-Supervised Learning for 3D Radiomic Representations
Imbalance-Aware Self-Supervised Learning for 3D Radiomic Representations
Hongwei Bran Li
Fei-Fei Xue
K. Chaitanya
Shengda Liu
Ivan Ezhov
Benedikt Wiestler
Jianguo Zhang
Bjoern Menze
SSL
90
25
0
06 Mar 2021
Set Representation Learning with Generalized Sliced-Wasserstein
  Embeddings
Set Representation Learning with Generalized Sliced-Wasserstein Embeddings
Navid Naderializadeh
Soheil Kolouri
Joseph F. Comer
Reed W. Andrews
Heiko Hoffmann
113
6
0
05 Mar 2021
CoDeGAN: Contrastive Disentanglement for Generative Adversarial Network
CoDeGAN: Contrastive Disentanglement for Generative Adversarial Network
Lili Pan
Peijun Tang
Zhiyong Chen
Zenglin Xu
GANDRL
64
5
0
05 Mar 2021
Barlow Twins: Self-Supervised Learning via Redundancy Reduction
Barlow Twins: Self-Supervised Learning via Redundancy Reduction
Jure Zbontar
Li Jing
Ishan Misra
Yann LeCun
Stéphane Deny
SSL
360
2,374
0
04 Mar 2021
Contrastive Learning Meets Transfer Learning: A Case Study In Medical
  Image Analysis
Contrastive Learning Meets Transfer Learning: A Case Study In Medical Image Analysis
Yuzhe Lu
Aadarsh Jha
Yuankai Huo
MedIm
122
4
0
04 Mar 2021
SVMax: A Feature Embedding Regularizer
SVMax: A Feature Embedding Regularizer
Ahmed Taha
Alex Hanson
Abhinav Shrivastava
L. Davis
43
0
0
04 Mar 2021
Convolutional Normalization: Improving Deep Convolutional Network
  Robustness and Training
Convolutional Normalization: Improving Deep Convolutional Network Robustness and Training
Sheng Liu
Xiao Li
Yuexiang Zhai
Chong You
Zhihui Zhu
C. Fernandez‐Granda
Qing Qu
52
26
0
01 Mar 2021
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised
  Learning
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning
Yixin Liu
Zhao Li
Shirui Pan
Chen Gong
Chuan Zhou
George Karypis
125
307
0
27 Feb 2021
Graph Self-Supervised Learning: A Survey
Graph Self-Supervised Learning: A Survey
Yixin Liu
Ming Jin
Shirui Pan
Chuan Zhou
Yu Zheng
Xiwei Xu
Philip S. Yu
SSL
123
574
0
27 Feb 2021
Domain Adapting Ability of Self-Supervised Learning for Face Recognition
Domain Adapting Ability of Self-Supervised Learning for Face Recognition
Chun-Hsien Lin
Bing-Fei Wu
CVBMOODSSL
52
2
0
26 Feb 2021
Towards a Unified Framework for Fair and Stable Graph Representation
  Learning
Towards a Unified Framework for Fair and Stable Graph Representation Learning
Chirag Agarwal
Himabindu Lakkaraju
Marinka Zitnik
183
163
0
25 Feb 2021
Visualizing MuZero Models
Visualizing MuZero Models
Joery A. de Vries
K. Voskuil
Thomas M. Moerland
Aske Plaat
95
9
0
25 Feb 2021
Emerging Trends in Federated Learning: From Model Fusion to Federated X
  Learning
Emerging Trends in Federated Learning: From Model Fusion to Federated X Learning
Shaoxiong Ji
Yue Tan
Teemu Saravirta
Zhiqin Yang
Yixin Liu
Lauri Vasankari
Shirui Pan
Guodong Long
A. Walid
FedML
159
79
0
25 Feb 2021
How to represent part-whole hierarchies in a neural network
How to represent part-whole hierarchies in a neural network
Geoffrey E. Hinton
OCLMoE
104
205
0
25 Feb 2021
Mine Your Own vieW: Self-Supervised Learning Through Across-Sample
  Prediction
Mine Your Own vieW: Self-Supervised Learning Through Across-Sample Prediction
Mehdi Azabou
M. G. Azar
Ran Liu
Chi-Heng Lin
Erik C. Johnson
...
Lindsey Kitchell
Keith B. Hengen
William R. Gray Roncal
Michal Valko
Eva L. Dyer
AI4TS
96
57
0
19 Feb 2021
Dataset Condensation with Differentiable Siamese Augmentation
Dataset Condensation with Differentiable Siamese Augmentation
Bo Zhao
Hakan Bilen
DD
273
304
0
16 Feb 2021
Understanding Negative Samples in Instance Discriminative
  Self-supervised Representation Learning
Understanding Negative Samples in Instance Discriminative Self-supervised Representation Learning
Kento Nozawa
Issei Sato
SSL
132
46
0
13 Feb 2021
Understanding self-supervised Learning Dynamics without Contrastive
  Pairs
Understanding self-supervised Learning Dynamics without Contrastive Pairs
Yuandong Tian
Xinlei Chen
Surya Ganguli
SSL
260
286
0
12 Feb 2021
Self-Supervised Multisensor Change Detection
Self-Supervised Multisensor Change Detection
Sudipan Saha
Patrick Ebel
Xiaoxiang Zhu
SSL
71
80
0
12 Feb 2021
Surprisingly Simple Semi-Supervised Domain Adaptation with Pretraining
  and Consistency
Surprisingly Simple Semi-Supervised Domain Adaptation with Pretraining and Consistency
Samarth Mishra
Kate Saenko
Venkatesh Saligrama
69
29
0
29 Jan 2021
Object Detection Made Simpler by Eliminating Heuristic NMS
Object Detection Made Simpler by Eliminating Heuristic NMS
Qiang-feng Zhou
Chaohui Yu
Chunhua Shen
Zhibin Wang
Hao Li
ObjD
77
21
0
28 Jan 2021
Bottleneck Transformers for Visual Recognition
Bottleneck Transformers for Visual Recognition
A. Srinivas
Nayeon Lee
Niki Parmar
Jonathon Shlens
Pieter Abbeel
Ashish Vaswani
SLR
373
997
0
27 Jan 2021
Self-Adaptive Training: Bridging Supervised and Self-Supervised Learning
Self-Adaptive Training: Bridging Supervised and Self-Supervised Learning
Lang Huang
Chaoning Zhang
Hongyang R. Zhang
SSL
101
25
0
21 Jan 2021
An Empirical Study and Analysis on Open-Set Semi-Supervised Learning
An Empirical Study and Analysis on Open-Set Semi-Supervised Learning
Huixiang Luo
Hao Cheng
Fanxu Meng
Yuting Gao
Ke Li
Mengdan Zhang
Xing Sun
74
8
0
19 Jan 2021
Momentum^2 Teacher: Momentum Teacher with Momentum Statistics for
  Self-Supervised Learning
Momentum^2 Teacher: Momentum Teacher with Momentum Statistics for Self-Supervised Learning
Zeming Li
Songtao Liu
Jian Sun
113
16
0
19 Jan 2021
CMV-BERT: Contrastive multi-vocab pretraining of BERT
Wei-wei Zhu
Daniel Cheung
SSLVLM
72
0
0
29 Dec 2020
Self-Supervised Multimodal Domino: in Search of Biomarkers for
  Alzheimer's Disease
Self-Supervised Multimodal Domino: in Search of Biomarkers for Alzheimer's Disease
A. Fedorov
Tristan Sylvain
Eloy P. T. Geenjaar
Margaux Luck
Lei Wu
T. DeRamus
Alex Kirilin
Dmitry Bleklov
Vince D. Calhoun
Sergey Plis
SSL
68
13
0
25 Dec 2020
Social NCE: Contrastive Learning of Socially-aware Motion
  Representations
Social NCE: Contrastive Learning of Socially-aware Motion Representations
Yuejiang Liu
Qi Yan
Alexandre Alahi
138
103
0
21 Dec 2020
Addressing Feature Suppression in Unsupervised Visual Representations
Addressing Feature Suppression in Unsupervised Visual Representations
Tianhong Li
Lijie Fan
Yuan. Yuan
Hao He
Yonglong Tian
Rogerio Feris
Piotr Indyk
Dina Katabi
SSL
118
15
0
17 Dec 2020
ISD: Self-Supervised Learning by Iterative Similarity Distillation
ISD: Self-Supervised Learning by Iterative Similarity Distillation
Ajinkya Tejankar
Soroush Abbasi Koohpayegani
Vipin Pillai
Paolo Favaro
Hamed Pirsiavash
SSL
61
44
0
16 Dec 2020
Using Feature Alignment Can Improve Clean Average Precision and
  Adversarial Robustness in Object Detection
Using Feature Alignment Can Improve Clean Average Precision and Adversarial Robustness in Object Detection
Weipeng Xu
Hongcheng Huang
Shaoyou Pan
ObjD
64
7
0
08 Dec 2020
A Unified Mixture-View Framework for Unsupervised Representation
  Learning
A Unified Mixture-View Framework for Unsupervised Representation Learning
Xiangxiang Chu
Xiaohang Zhan
Bo Zhang
SSL
54
1
0
26 Nov 2020
An Empirical Study of the Collapsing Problem in Semi-Supervised 2D Human
  Pose Estimation
An Empirical Study of the Collapsing Problem in Semi-Supervised 2D Human Pose Estimation
Rongchang Xie
Chunyu Wang
Wenjun Zeng
Yizhou Wang
SSL3DH
107
26
0
25 Nov 2020
AlphaMatch: Improving Consistency for Semi-supervised Learning with
  Alpha-divergence
AlphaMatch: Improving Consistency for Semi-supervised Learning with Alpha-divergence
Chengyue Gong
Dilin Wang
Qiang Liu
FedML
65
43
0
23 Nov 2020
Heterogeneous Contrastive Learning: Encoding Spatial Information for
  Compact Visual Representations
Heterogeneous Contrastive Learning: Encoding Spatial Information for Compact Visual Representations
Xinyue Huo
Lingxi Xie
Longhui Wei
Xiaopeng Zhang
Hao Li
Zijie Yang
Wen-gang Zhou
Houqiang Li
Qi Tian
SSL
71
13
0
19 Nov 2020
AdCo: Adversarial Contrast for Efficient Learning of Unsupervised
  Representations from Self-Trained Negative Adversaries
AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations from Self-Trained Negative Adversaries
Q. Hu
Tianlin Li
Wei Hu
Guo-Jun Qi
SSL
78
153
0
17 Nov 2020
VECO: Variable and Flexible Cross-lingual Pre-training for Language
  Understanding and Generation
VECO: Variable and Flexible Cross-lingual Pre-training for Language Understanding and Generation
Fuli Luo
Wei Wang
Jiahao Liu
Yijia Liu
Bin Bi
Songfang Huang
Fei Huang
Luo Si
111
52
0
30 Oct 2020
Iterative Graph Self-Distillation
Iterative Graph Self-Distillation
Hanlin Zhang
Shuai Lin
Weiyang Liu
Pan Zhou
Jian Tang
Xiaodan Liang
Eric Xing
SSL
131
34
0
23 Oct 2020
CLAR: Contrastive Learning of Auditory Representations
CLAR: Contrastive Learning of Auditory Representations
Haider Al-Tahan
Y. Mohsenzadeh
SSL
193
56
0
19 Oct 2020
CO2: Consistent Contrast for Unsupervised Visual Representation Learning
CO2: Consistent Contrast for Unsupervised Visual Representation Learning
Chen Wei
Huiyu Wang
Wei Shen
Alan Yuille
SSL
85
63
0
05 Oct 2020
Hard Negative Mixing for Contrastive Learning
Hard Negative Mixing for Contrastive Learning
Yannis Kalantidis
Mert Bulent Sariyildiz
Noé Pion
Philippe Weinzaepfel
Diane Larlus
SSL
144
647
0
02 Oct 2020
Understanding Self-supervised Learning with Dual Deep Networks
Understanding Self-supervised Learning with Dual Deep Networks
Yuandong Tian
Lantao Yu
Xinlei Chen
Surya Ganguli
SSL
86
80
0
01 Oct 2020
Delving into Inter-Image Invariance for Unsupervised Visual
  Representations
Delving into Inter-Image Invariance for Unsupervised Visual Representations
Jiahao Xie
Xiaohang Zhan
Ziwei Liu
Yew-Soon Ong
Chen Change Loy
SSLVLM
76
59
0
26 Aug 2020
Previous
123...464748
Next