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Representation Uncertainty in Self-Supervised Learning as Variational
  Inference
v1v2v3v4 (latest)

Representation Uncertainty in Self-Supervised Learning as Variational Inference

22 March 2022
Hiroki Nakamura
Masashi Okada
T. Taniguchi
ArXiv (abs)PDFHTML

Papers citing "Representation Uncertainty in Self-Supervised Learning as Variational Inference"

29 / 29 papers shown
Title
FreCT: Frequency-augmented Convolutional Transformer for Robust Time Series Anomaly Detection
FreCT: Frequency-augmented Convolutional Transformer for Robust Time Series Anomaly Detection
Wenxin Zhang
Ding Xu
Guangzhen Yao
Xiaojian Lin
Renxiang Guan
Chengze Du
Renda Han
Xi Xuan
Cuicui Luo
AI4TS
147
0
0
02 May 2025
Towards One Model for Classical Dimensionality Reduction: A Probabilistic Perspective on UMAP and t-SNE
Towards One Model for Classical Dimensionality Reduction: A Probabilistic Perspective on UMAP and t-SNE
Aditya Ravuri
Neil D. Lawrence
94
2
0
27 May 2024
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViTTPM
477
7,827
0
11 Nov 2021
Digging into Uncertainty in Self-supervised Multi-view Stereo
Digging into Uncertainty in Self-supervised Multi-view Stereo
Hongbin Xu
Zhipeng Zhou
Yali Wang
Wenxiong Kang
Baigui Sun
Hao Li
Yu Qiao
UQCV
62
55
0
30 Aug 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
724
6,135
0
29 Apr 2021
An Empirical Study of Training Self-Supervised Vision Transformers
An Empirical Study of Training Self-Supervised Vision Transformers
Xinlei Chen
Saining Xie
Kaiming He
ViT
159
1,871
0
05 Apr 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
347
2,366
0
04 Mar 2021
Understanding self-supervised Learning Dynamics without Contrastive
  Pairs
Understanding self-supervised Learning Dynamics without Contrastive Pairs
Yuandong Tian
Xinlei Chen
Surya Ganguli
SSL
213
286
0
12 Feb 2021
Exploring Simple Siamese Representation Learning
Exploring Simple Siamese Representation Learning
Xinlei Chen
Kaiming He
SSL
258
4,072
0
20 Nov 2020
Unsupervised Learning of Visual Features by Contrasting Cluster
  Assignments
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron
Ishan Misra
Julien Mairal
Priya Goyal
Piotr Bojanowski
Armand Joulin
OCLSSL
264
4,098
0
17 Jun 2020
Self-supervised Learning: Generative or Contrastive
Self-supervised Learning: Generative or Contrastive
Xiao Liu
Fanjin Zhang
Zhenyu Hou
Zhaoyu Wang
Li Mian
Jing Zhang
Jie Tang
SSL
145
1,632
0
15 Jun 2020
Bootstrap your own latent: A new approach to self-supervised Learning
Bootstrap your own latent: A new approach to self-supervised Learning
Jean-Bastien Grill
Florian Strub
Florent Altché
Corentin Tallec
Pierre Harvey Richemond
...
M. G. Azar
Bilal Piot
Koray Kavukcuoglu
Rémi Munos
Michal Valko
SSL
398
6,844
0
13 Jun 2020
How Useful is Self-Supervised Pretraining for Visual Tasks?
How Useful is Self-Supervised Pretraining for Visual Tasks?
Alejandro Newell
Jia Deng
SSL
59
138
0
31 Mar 2020
PlaNet of the Bayesians: Reconsidering and Improving Deep Planning
  Network by Incorporating Bayesian Inference
PlaNet of the Bayesians: Reconsidering and Improving Deep Planning Network by Incorporating Bayesian Inference
Masashi Okada
Norio Kosaka
T. Taniguchi
48
43
0
01 Mar 2020
Momentum Contrast for Unsupervised Visual Representation Learning
Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross B. Girshick
SSL
213
12,124
0
13 Nov 2019
Variational Mixture-of-Experts Autoencoders for Multi-Modal Deep
  Generative Models
Variational Mixture-of-Experts Autoencoders for Multi-Modal Deep Generative Models
Yuge Shi
Siddharth Narayanaswamy
Brooks Paige
Philip Torr
DRL
77
271
0
08 Nov 2019
Probabilistic Object Detection: Definition and Evaluation
Probabilistic Object Detection: Definition and Evaluation
David Hall
Feras Dayoub
John Skinner
Haoyang Zhang
Dimity Miller
Peter Corke
G. Carneiro
A. Angelova
Niko Sünderhauf
UQCV
80
110
0
27 Nov 2018
Safe Reinforcement Learning with Model Uncertainty Estimates
Safe Reinforcement Learning with Model Uncertainty Estimates
Björn Lütjens
Michael Everett
Jonathan P. How
74
169
0
19 Oct 2018
Bounding Box Regression with Uncertainty for Accurate Object Detection
Bounding Box Regression with Uncertainty for Accurate Object Detection
Yihui He
Chenchen Zhu
Jianren Wang
Marios Savvides
Xinming Zhang
ObjD
78
469
0
23 Sep 2018
Unsupervised Feature Learning via Non-Parametric Instance-level
  Discrimination
Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination
Zhirong Wu
Yuanjun Xiong
Stella X. Yu
Dahua Lin
SSL
185
3,468
0
05 May 2018
Hyperspherical Variational Auto-Encoders
Hyperspherical Variational Auto-Encoders
Tim R. Davidson
Luca Falorsi
Nicola De Cao
Thomas Kipf
Jakub M. Tomczak
DRLBDL
116
384
0
03 Apr 2018
Unsupervised Representation Learning by Predicting Image Rotations
Unsupervised Representation Learning by Predicting Image Rotations
Spyros Gidaris
Praveer Singh
N. Komodakis
OODSSLDRL
264
3,300
0
21 Mar 2018
Large Batch Training of Convolutional Networks
Large Batch Training of Convolutional Networks
Yang You
Igor Gitman
Boris Ginsburg
ODL
141
852
0
13 Aug 2017
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry
  and Semantics
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics
Alex Kendall
Y. Gal
R. Cipolla
3DH
272
3,135
0
19 May 2017
VAE with a VampPrior
VAE with a VampPrior
Jakub M. Tomczak
Max Welling
GANBDL
68
635
0
19 May 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer
  Vision?
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?
Alex Kendall
Y. Gal
BDLOODUDUQCVPER
362
4,721
0
15 Mar 2017
Unsupervised Learning of Visual Representations by Solving Jigsaw
  Puzzles
Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles
M. Noroozi
Paolo Favaro
SSL
177
2,985
0
30 Mar 2016
Describing Textures in the Wild
Describing Textures in the Wild
Mircea Cimpoi
Subhransu Maji
Iasonas Kokkinos
S. Mohamed
Andrea Vedaldi
3DV
146
2,693
0
14 Nov 2013
Fine-Grained Visual Classification of Aircraft
Fine-Grained Visual Classification of Aircraft
Subhransu Maji
Esa Rahtu
Arno Solin
Matthew Blaschko
Andrea Vedaldi
126
2,272
0
21 Jun 2013
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