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Self-Supervised Representation Learning: Introduction, Advances and
  Challenges

Self-Supervised Representation Learning: Introduction, Advances and Challenges

18 October 2021
Linus Ericsson
H. Gouk
Chen Change Loy
Timothy M. Hospedales
    SSL
    OOD
    AI4TS
ArXivPDFHTML

Papers citing "Self-Supervised Representation Learning: Introduction, Advances and Challenges"

23 / 23 papers shown
Title
Towards Accurate and Interpretable Neuroblastoma Diagnosis via Contrastive Multi-scale Pathological Image Analysis
Towards Accurate and Interpretable Neuroblastoma Diagnosis via Contrastive Multi-scale Pathological Image Analysis
Zhu Zhu
Shuo Jiang
Jingyuan Zheng
Yawen Li
Yifei Chen
Manli Zhao
Weizhong Gu
Feiwei Qin
Jinhu Wang
Gang Yu
MedIm
33
0
0
18 Apr 2025
Secure Visual Data Processing via Federated Learning
Secure Visual Data Processing via Federated Learning
Pedro Santos
Tânia Carvalho
Filipe Magalhães
Luís Antunes
FedML
51
0
0
09 Feb 2025
Efficient Distribution Matching of Representations via Noise-Injected Deep InfoMax
Efficient Distribution Matching of Representations via Noise-Injected Deep InfoMax
I. Butakov
Alexander Sememenko
Alexander Tolmachev
Andrey Gladkov
Marina Munkhoeva
Alexey Frolov
20
0
0
09 Oct 2024
Efficiency-oriented approaches for self-supervised speech representation
  learning
Efficiency-oriented approaches for self-supervised speech representation learning
Luis Lugo
Valentin Vielzeuf
SSL
19
1
0
18 Dec 2023
Jointly spatial-temporal representation learning for individual trajectories
Jointly spatial-temporal representation learning for individual trajectories
Fei Huang
Jianrong Lv
Yang Yue
AI4TS
65
0
0
07 Dec 2023
Which Augmentation Should I Use? An Empirical Investigation of
  Augmentations for Self-Supervised Phonocardiogram Representation Learning
Which Augmentation Should I Use? An Empirical Investigation of Augmentations for Self-Supervised Phonocardiogram Representation Learning
Aristotelis Ballas
Vasileios Papapanagiotou
Christos Diou
20
0
0
01 Dec 2023
Simple but Effective Unsupervised Classification for Specified Domain
  Images: A Case Study on Fungi Images
Simple but Effective Unsupervised Classification for Specified Domain Images: A Case Study on Fungi Images
Zhaocong liu
Fa Zhang
Lin Cheng
Huanxi Deng
Xiaoyan Yang
Zhenyu Zhang
Chichun Zhou
12
1
0
15 Nov 2023
Wearable data from subjects playing Super Mario, sitting university
  exams, or performing physical exercise help detect acute mood episodes via
  self-supervised learning
Wearable data from subjects playing Super Mario, sitting university exams, or performing physical exercise help detect acute mood episodes via self-supervised learning
F. Corponi
Bryan M. Li
G. Anmella
Clàudia Valenzuela-Pascual
Ariadna Mas
...
Allan H Young
S. Lawrie
H. Whalley
D. Hidalgo-Mazzei
Antonio Vergari
11
0
0
07 Nov 2023
MOLE: MOdular Learning FramEwork via Mutual Information Maximization
MOLE: MOdular Learning FramEwork via Mutual Information Maximization
Tianchao Li
Yulong Pei
17
0
0
15 Aug 2023
Large AI Model-Based Semantic Communications
Large AI Model-Based Semantic Communications
Feibo Jiang
Yubo Peng
Li Dong
Kezhi Wang
Kun Yang
Cunhua Pan
Xiaohu You
17
47
0
07 Jul 2023
Difference-Masking: Choosing What to Mask in Continued Pretraining
Difference-Masking: Choosing What to Mask in Continued Pretraining
Alex Wilf
Syeda Nahida Akter
Leena Mathur
Paul Pu Liang
Sheryl Mathew
Mengrou Shou
Eric Nyberg
Louis-Philippe Morency
CLL
SSL
19
4
0
23 May 2023
SELFormer: Molecular Representation Learning via SELFIES Language Models
SELFormer: Molecular Representation Learning via SELFIES Language Models
Atakan Yüksel
Erva Ulusoy
Atabey Ünlü
Tunca Dogan
19
54
0
10 Apr 2023
Dexterity from Touch: Self-Supervised Pre-Training of Tactile
  Representations with Robotic Play
Dexterity from Touch: Self-Supervised Pre-Training of Tactile Representations with Robotic Play
Irmak Güzey
Ben Evans
Soumith Chintala
Lerrel Pinto
52
64
0
21 Mar 2023
Amortised Invariance Learning for Contrastive Self-Supervision
Amortised Invariance Learning for Contrastive Self-Supervision
Ruchika Chavhan
H. Gouk
Jan Stuehmer
Calum Heggan
Mehrdad Yaghoobi
Timothy M. Hospedales
SSL
20
11
0
24 Feb 2023
Self-supervised remote sensing feature learning: Learning Paradigms,
  Challenges, and Future Works
Self-supervised remote sensing feature learning: Learning Paradigms, Challenges, and Future Works
Chao Tao
Ji Qi
Mingning Guo
Qing Zhu
Haifeng Li
SSL
19
56
0
15 Nov 2022
Scalable Representation Learning in Linear Contextual Bandits with
  Constant Regret Guarantees
Scalable Representation Learning in Linear Contextual Bandits with Constant Regret Guarantees
Andrea Tirinzoni
Matteo Papini
Ahmed Touati
A. Lazaric
Matteo Pirotta
8
4
0
24 Oct 2022
SS-VAERR: Self-Supervised Apparent Emotional Reaction Recognition from
  Video
SS-VAERR: Self-Supervised Apparent Emotional Reaction Recognition from Video
Marija Jegorova
Stavros Petridis
M. Pantic
20
2
0
20 Oct 2022
Controllable Data Generation by Deep Learning: A Review
Controllable Data Generation by Deep Learning: A Review
Shiyu Wang
Yuanqi Du
Xiaojie Guo
Bo Pan
Zhaohui Qin
Liang Zhao
29
28
0
19 Jul 2022
Continual Barlow Twins: continual self-supervised learning for remote
  sensing semantic segmentation
Continual Barlow Twins: continual self-supervised learning for remote sensing semantic segmentation
V. Marsocci
Simone Scardapane
CLL
13
25
0
23 May 2022
Self-Supervised Speech Representation Learning: A Review
Self-Supervised Speech Representation Learning: A Review
Abdel-rahman Mohamed
Hung-yi Lee
Lasse Borgholt
Jakob Drachmann Havtorn
Joakim Edin
...
Shang-Wen Li
Karen Livescu
Lars Maaløe
Tara N. Sainath
Shinji Watanabe
SSL
AI4TS
124
339
0
21 May 2022
Self-supervised Co-training for Video Representation Learning
Self-supervised Co-training for Video Representation Learning
Tengda Han
Weidi Xie
Andrew Zisserman
SSL
198
371
0
19 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
SSL
VLM
11
58
0
26 Aug 2020
MoleculeNet: A Benchmark for Molecular Machine Learning
MoleculeNet: A Benchmark for Molecular Machine Learning
Zhenqin Wu
Bharath Ramsundar
Evan N. Feinberg
Joseph Gomes
C. Geniesse
Aneesh S. Pappu
K. Leswing
Vijay S. Pande
OOD
154
1,748
0
02 Mar 2017
1