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Mine Your Own vieW: Self-Supervised Learning Through Across-Sample
  Prediction

Mine Your Own vieW: Self-Supervised Learning Through Across-Sample Prediction

19 February 2021
Mehdi Azabou
M. G. Azar
Ran Liu
Chi-Heng Lin
Erik C. Johnson
K. Bhaskaran-Nair
M. Dabagia
Bernardo Avila-Pires
Lindsey Kitchell
Keith B. Hengen
William R. Gray Roncal
Michal Valko
Eva L. Dyer
    AI4TS
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Papers citing "Mine Your Own vieW: Self-Supervised Learning Through Across-Sample Prediction"

14 / 14 papers shown
Title
MIM-Refiner: A Contrastive Learning Boost from Intermediate Pre-Trained Representations
MIM-Refiner: A Contrastive Learning Boost from Intermediate Pre-Trained Representations
Benedikt Alkin
Lukas Miklautz
Sepp Hochreiter
Johannes Brandstetter
VLM
71
8
0
24 Feb 2025
Aligning Sight and Sound: Advanced Sound Source Localization Through
  Audio-Visual Alignment
Aligning Sight and Sound: Advanced Sound Source Localization Through Audio-Visual Alignment
Arda Senocak
H. Ryu
Junsik Kim
Tae-Hyun Oh
Hanspeter Pfister
Joon Son Chung
36
3
0
18 Jul 2024
A Review on Discriminative Self-supervised Learning Methods in Computer Vision
A Review on Discriminative Self-supervised Learning Methods in Computer Vision
Nikolaos Giakoumoglou
Tania Stathaki
Athanasios Gkelias
SSL
64
1
0
08 May 2024
Predictive variational autoencoder for learning robust representations
  of time-series data
Predictive variational autoencoder for learning robust representations of time-series data
Julia Huiming Wang
Dexter Tsin
Tatiana Engel
CML
OOD
AI4TS
30
2
0
12 Dec 2023
CrIBo: Self-Supervised Learning via Cross-Image Object-Level
  Bootstrapping
CrIBo: Self-Supervised Learning via Cross-Image Object-Level Bootstrapping
Tim Lebailly
Thomas Stegmüller
Behzad Bozorgtabar
Jean-Philippe Thiran
Tinne Tuytelaars
SSL
47
6
0
11 Oct 2023
Sound Source Localization is All about Cross-Modal Alignment
Sound Source Localization is All about Cross-Modal Alignment
Arda Senocak
H. Ryu
Junsik Kim
Tae-Hyun Oh
Hanspeter Pfister
Joon Son Chung
26
18
0
19 Sep 2023
Soft Neighbors are Positive Supporters in Contrastive Visual
  Representation Learning
Soft Neighbors are Positive Supporters in Contrastive Visual Representation Learning
Chongjian Ge
Jiangliu Wang
Zhan Tong
Shoufa Chen
Yibing Song
Ping Luo
SSL
22
27
0
30 Mar 2023
MTNeuro: A Benchmark for Evaluating Representations of Brain Structure
  Across Multiple Levels of Abstraction
MTNeuro: A Benchmark for Evaluating Representations of Brain Structure Across Multiple Levels of Abstraction
Jorge Quesada
Lakshmi Sathidevi
Ran Liu
Nauman Ahad
Joy M. Jackson
...
Matthew Y Jin
Carolina Urzay
William R. Gray Roncal
Erik C. Johnson
Eva L. Dyer
93
4
0
01 Jan 2023
Seeing the forest and the tree: Building representations of both
  individual and collective dynamics with transformers
Seeing the forest and the tree: Building representations of both individual and collective dynamics with transformers
Ran Liu
Mehdi Azabou
M. Dabagia
Jingyun Xiao
Eva L. Dyer
AI4CE
32
19
0
10 Jun 2022
HyAR: Addressing Discrete-Continuous Action Reinforcement Learning via
  Hybrid Action Representation
HyAR: Addressing Discrete-Continuous Action Reinforcement Learning via Hybrid Action Representation
Boyan Li
Hongyao Tang
Yan Zheng
Jianye Hao
Pengyi Li
Zhen Wang
Zhaopeng Meng
Li Wang
26
42
0
12 Sep 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
SSL
OCL
30
73
0
22 Jun 2021
On Feature Decorrelation in Self-Supervised Learning
On Feature Decorrelation in Self-Supervised Learning
Tianyu Hua
Wenxiao Wang
Zihui Xue
Sucheng Ren
Yue Wang
Hang Zhao
SSL
OOD
124
187
0
02 May 2021
BYOL works even without batch statistics
BYOL works even without batch statistics
Pierre Harvey Richemond
Jean-Bastien Grill
Florent Altché
Corentin Tallec
Florian Strub
...
Samuel L. Smith
Soham De
Razvan Pascanu
Bilal Piot
Michal Valko
SSL
250
114
0
20 Oct 2020
Contrastive Representation Learning: A Framework and Review
Contrastive Representation Learning: A Framework and Review
Phúc H. Lê Khắc
Graham Healy
A. Smeaton
SSL
AI4TS
173
684
0
10 Oct 2020
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