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Transfer Learning or Self-supervised Learning? A Tale of Two Pretraining
  Paradigms

Transfer Learning or Self-supervised Learning? A Tale of Two Pretraining Paradigms

19 June 2020
Xingyi Yang
Xuehai He
Yuxiao Liang
Yue Yang
Shanghang Zhang
P. Xie
    SSL
ArXiv (abs)PDFHTML

Papers citing "Transfer Learning or Self-supervised Learning? A Tale of Two Pretraining Paradigms"

22 / 22 papers shown
Title
SEVERE++: Evaluating Benchmark Sensitivity in Generalization of Video Representation Learning
SEVERE++: Evaluating Benchmark Sensitivity in Generalization of Video Representation Learning
Fida Mohammad Thoker
Letian Jiang
Chen Zhao
Piyush Bagad
Hazel Doughty
Bernard Ghanem
Cees G. M. Snoek
ViTSSL
118
0
0
08 Apr 2025
How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks?
How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks?
Wenxuan Li
Alan Yuille
Zongwei Zhou
MedIm
148
10
0
20 Jan 2025
A Survey of the Self Supervised Learning Mechanisms for Vision Transformers
A Survey of the Self Supervised Learning Mechanisms for Vision Transformers
Asifullah Khan
A. Sohail
Mustansar Fiaz
Mehdi Hassan
Tariq Habib Afridi
...
Muhammad Zaigham Zaheer
Kamran Ali
Tangina Sultana
Ziaurrehman Tanoli
Naeem Akhter
274
5
0
30 Aug 2024
Detection of Animal Movement from Weather Radar using Self-Supervised
  Learning
Detection of Animal Movement from Weather Radar using Self-Supervised Learning
Mubin Ul Haque
J. Dabrowski
Rebecca M. Rogers
Hazel Parry
SSL
79
0
0
08 Aug 2024
JOSENet: A Joint Stream Embedding Network for Violence Detection in
  Surveillance Videos
JOSENet: A Joint Stream Embedding Network for Violence Detection in Surveillance Videos
Pietro Nardelli
Danilo Comminiello
74
1
0
05 May 2024
Self-Supervised Learning Featuring Small-Scale Image Dataset for
  Treatable Retinal Diseases Classification
Self-Supervised Learning Featuring Small-Scale Image Dataset for Treatable Retinal Diseases Classification
Luffina C. Huang
Darren J. Chiu
Manish Mehta
73
1
0
15 Apr 2024
AdapterFL: Adaptive Heterogeneous Federated Learning for
  Resource-constrained Mobile Computing Systems
AdapterFL: Adaptive Heterogeneous Federated Learning for Resource-constrained Mobile Computing Systems
Ruixuan Liu
Ming Hu
Zeke Xia
Jun Xia
Peng Zhang
Yihao Huang
Yang Liu
Mingsong Chen
FedML
95
7
0
23 Nov 2023
Shifting to Machine Supervision: Annotation-Efficient Semi and
  Self-Supervised Learning for Automatic Medical Image Segmentation and
  Classification
Shifting to Machine Supervision: Annotation-Efficient Semi and Self-Supervised Learning for Automatic Medical Image Segmentation and Classification
P. Singh
Raviteja Chukkapalli
Shravan Chaudhari
Luoyao Chen
Mei Chen
Jinqian Pan
Craig Smuda
Jacopo Cirrone
38
8
0
17 Nov 2023
Towards Foundational Models for Molecular Learning on Large-Scale
  Multi-Task Datasets
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets
Dominique Beaini
Shenyang Huang
Joao Alex Cunha
Zhiyi Li
Gabriela Moisescu-Pareja
...
Thérence Bois
Andrew Fitzgibbon
Bla.zej Banaszewski
Chad Martin
Dominic Masters
AI4CE
120
25
0
06 Oct 2023
IAdet: Simplest human-in-the-loop object detection
IAdet: Simplest human-in-the-loop object detection
Franco Marchesoni-Acland
Gabriele Facciolo
VLM
104
1
0
04 Jul 2023
The Trade-off between Universality and Label Efficiency of
  Representations from Contrastive Learning
The Trade-off between Universality and Label Efficiency of Representations from Contrastive Learning
Zhenmei Shi
Jiefeng Chen
Kunyang Li
Jayaram Raghuram
Xi Wu
Yingyu Liang
S. Jha
SSL
79
20
0
28 Feb 2023
Feature Dropout: Revisiting the Role of Augmentations in Contrastive
  Learning
Feature Dropout: Revisiting the Role of Augmentations in Contrastive Learning
Alex Tamkin
Margalit Glasgow
Xiluo He
Noah D. Goodman
SSL
118
7
0
16 Dec 2022
Deep Model Reassembly
Deep Model Reassembly
Xingyi Yang
Zhou Daquan
Songhua Liu
Jingwen Ye
Xinchao Wang
MoMe
98
129
0
24 Oct 2022
Comparison of semi-supervised learning methods for High Content
  Screening quality control
Comparison of semi-supervised learning methods for High Content Screening quality control
Umar Masud
Ethan O. Cohen
Ihab Bendidi
Guillaume Bollot
Auguste Genovesio
62
4
0
09 Aug 2022
How Severe is Benchmark-Sensitivity in Video Self-Supervised Learning?
How Severe is Benchmark-Sensitivity in Video Self-Supervised Learning?
Fida Mohammad Thoker
Hazel Doughty
Piyush Bagad
Cees G. M. Snoek
SSL
82
19
0
27 Mar 2022
Augment with Care: Contrastive Learning for Combinatorial Problems
Augment with Care: Contrastive Learning for Combinatorial Problems
Haonan Duan
Pashootan Vaezipoor
Max B. Paulus
Yangjun Ruan
Chris J. Maddison
SSL
62
21
0
17 Feb 2022
Tradeoffs Between Contrastive and Supervised Learning: An Empirical
  Study
Tradeoffs Between Contrastive and Supervised Learning: An Empirical Study
A. Karthik
Mike Wu
Noah D. Goodman
Alex Tamkin
SSL
72
5
0
10 Dec 2021
Unsupervised Knowledge-Transfer for Learned Image Reconstruction
Unsupervised Knowledge-Transfer for Learned Image Reconstruction
Riccardo Barbano
Ž. Kereta
A. Hauptmann
Simon Arridge
Bangti Jin
66
11
0
06 Jul 2021
When Does Contrastive Visual Representation Learning Work?
When Does Contrastive Visual Representation Learning Work?
Elijah Cole
Xuan S. Yang
Kimberly Wilber
Oisin Mac Aodha
Serge Belongie
SSL
90
125
0
12 May 2021
Self-Supervised Pretraining Improves Self-Supervised Pretraining
Self-Supervised Pretraining Improves Self-Supervised Pretraining
Colorado Reed
Xiangyu Yue
Aniruddha Nrusimha
Sayna Ebrahimi
Vivek Vijaykumar
...
Shanghang Zhang
Devin Guillory
Sean L. Metzger
Kurt Keutzer
Trevor Darrell
121
108
0
23 Mar 2021
Self-supervised Regularization for Text Classification
Self-supervised Regularization for Text Classification
Meng Zhou
Zechen Li
P. Xie
60
16
0
09 Mar 2021
Contrastive Self-supervised Learning for Graph Classification
Contrastive Self-supervised Learning for Graph Classification
Jiaqi Zeng
P. Xie
SSL
115
156
0
13 Sep 2020
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