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Stacked What-Where Auto-encoders
v1v2v3v4v5v6v7v8 (latest)

Stacked What-Where Auto-encoders

8 June 2015
Jiaqi Zhao
Michaël Mathieu
Ross Goroshin
Yann LeCun
    DiffMBDL
ArXiv (abs)PDFHTML

Papers citing "Stacked What-Where Auto-encoders"

50 / 101 papers shown
Title
WSAM: Visual Explanations from Style Augmentation as Adversarial
  Attacker and Their Influence in Image Classification
WSAM: Visual Explanations from Style Augmentation as Adversarial Attacker and Their Influence in Image Classification
Felipe Moreno-Vera
E. Medina
Jorge Poco
36
2
0
29 Aug 2023
Contrastive Representation Disentanglement for Clustering
Contrastive Representation Disentanglement for Clustering
Fei Ding
Dan Zhang
Yin Yang
Venkat Krovi
Feng Luo
SSLDRL
34
0
0
08 Jun 2023
'Labelling the Gaps': A Weakly Supervised Automatic Eye Gaze Estimation
'Labelling the Gaps': A Weakly Supervised Automatic Eye Gaze Estimation
Shreya Ghosh
Abhinav Dhall
Jarrod Knibbe
Munawar Hayat
53
0
0
03 Aug 2022
Semi-Supervised Super-Resolution
Semi-Supervised Super-Resolution
Ashutosh Kumar Singh
Piyush Rai
SupR
43
2
0
18 Apr 2022
A Comparative Review of Recent Few-Shot Object Detection Algorithms
A Comparative Review of Recent Few-Shot Object Detection Algorithms
Jiaxu Leng
Taiyue Chen
Gao Xinbo
Yongtao Yu
Ye Wang
Feng Gao
Wang Yue
ObjD
94
16
0
30 Oct 2021
RankingMatch: Delving into Semi-Supervised Learning with Consistency
  Regularization and Ranking Loss
RankingMatch: Delving into Semi-Supervised Learning with Consistency Regularization and Ranking Loss
Trung Q. Tran
Mingu Kang
Daeyoung Kim
35
2
0
09 Oct 2021
Concurrent Discrimination and Alignment for Self-Supervised Feature
  Learning
Concurrent Discrimination and Alignment for Self-Supervised Feature Learning
Anjan Dutta
Massimiliano Mancini
Zeynep Akata
SSL
46
0
0
19 Aug 2021
Learning the Precise Feature for Cluster Assignment
Learning the Precise Feature for Cluster Assignment
Yanhai Gan
Xinghui Dong
Huiyu Zhou
Feng Gao
Junyu Dong
84
5
0
11 Jun 2021
Biologically Inspired Hexagonal Deep Learning for Hexagonal Image
  Generation
Biologically Inspired Hexagonal Deep Learning for Hexagonal Image Generation
Tobias Schlosser
Frederik Beuth
Danny Kowerko
107
5
0
01 Jan 2021
Structural Prior Driven Regularized Deep Learning for Sonar Image
  Classification
Structural Prior Driven Regularized Deep Learning for Sonar Image Classification
Isaac D. Gerg
V. Monga
20
33
0
26 Oct 2020
Improving Self-Organizing Maps with Unsupervised Feature Extraction
Improving Self-Organizing Maps with Unsupervised Feature Extraction
Lyes Khacef
Laurent Rodriguez
Benoit Miramond
SSLDRL
51
15
0
04 Sep 2020
Whitening for Self-Supervised Representation Learning
Whitening for Self-Supervised Representation Learning
Aleksandr Ermolov
Aliaksandr Siarohin
E. Sangineto
N. Sebe
SSL
110
316
0
13 Jul 2020
Meta-Semi: A Meta-learning Approach for Semi-supervised Learning
Meta-Semi: A Meta-learning Approach for Semi-supervised Learning
Yulin Wang
Jiayi Guo
Shiji Song
Gao Huang
79
27
0
05 Jul 2020
Towards Robust Pattern Recognition: A Review
Towards Robust Pattern Recognition: A Review
Xu-Yao Zhang
Cheng-Lin Liu
C. Suen
OODHAI
69
110
0
12 Jun 2020
SCAN: Learning to Classify Images without Labels
SCAN: Learning to Classify Images without Labels
Wouter Van Gansbeke
Simon Vandenhende
Stamatios Georgoulis
Marc Proesmans
Luc Van Gool
VLMSSL
115
540
0
25 May 2020
Pose Augmentation: Class-agnostic Object Pose Transformation for Object
  Recognition
Pose Augmentation: Class-agnostic Object Pose Transformation for Object Recognition
Yunhao Ge
Jiaping Zhao
Laurent Itti
77
8
0
19 Mar 2020
GATCluster: Self-Supervised Gaussian-Attention Network for Image
  Clustering
GATCluster: Self-Supervised Gaussian-Attention Network for Image Clustering
Chuang Niu
Jun Zhang
Ge Wang
Jimin Liang
SSL
90
70
0
27 Feb 2020
Image Embedded Segmentation: Uniting Supervised and Unsupervised
  Objectives for Segmenting Histopathological Images
Image Embedded Segmentation: Uniting Supervised and Unsupervised Objectives for Segmenting Histopathological Images
Can Taylan
C. Sokmensuer
C. Gunduz-Demir
116
0
0
30 Jan 2020
Robust Facial Landmark Detection via Aggregation on Geometrically
  Manipulated Faces
Robust Facial Landmark Detection via Aggregation on Geometrically Manipulated Faces
Seyed Mehdi Iranmanesh
Ali Dabouei
Sobhan Soleymani
Hadi Kazemi
Nasser M. Nasrabadi
3DHCVBM
66
11
0
07 Jan 2020
Robust Federated Learning Through Representation Matching and Adaptive
  Hyper-parameters
Robust Federated Learning Through Representation Matching and Adaptive Hyper-parameters
Hesham Mostafa
FedML
76
39
0
30 Dec 2019
Multi-Modal Deep Clustering: Unsupervised Partitioning of Images
Multi-Modal Deep Clustering: Unsupervised Partitioning of Images
Guy Shiran
D. Weinshall
48
17
0
05 Dec 2019
Flow Contrastive Estimation of Energy-Based Models
Flow Contrastive Estimation of Energy-Based Models
Ruiqi Gao
Erik Nijkamp
Diederik P. Kingma
Zhen Xu
Andrew M. Dai
Ying Nian Wu
GAN
101
115
0
02 Dec 2019
ReMixMatch: Semi-Supervised Learning with Distribution Alignment and
  Augmentation Anchoring
ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring
David Berthelot
Nicholas Carlini
E. D. Cubuk
Alexey Kurakin
Kihyuk Sohn
Han Zhang
Colin Raffel
104
684
0
21 Nov 2019
EnAET: A Self-Trained framework for Semi-Supervised and Supervised
  Learning with Ensemble Transformations
EnAET: A Self-Trained framework for Semi-Supervised and Supervised Learning with Ensemble Transformations
Tianlin Li
Daisuke Kihara
Jiebo Luo
Guo-Jun Qi
OOD
76
34
0
21 Nov 2019
Scaling Object Detection by Transferring Classification Weights
Scaling Object Detection by Transferring Classification Weights
Jason Kuen
Federico Perazzi
Zhe Lin
Jianming Zhang
Yap-Peng Tan
ViT
80
18
0
15 Sep 2019
Two-Stage Peer-Regularized Feature Recombination for Arbitrary Image
  Style Transfer
Two-Stage Peer-Regularized Feature Recombination for Arbitrary Image Style Transfer
Jan Svoboda
Asha Anoosheh
Christian Osendorfer
Jonathan Masci
GAN
105
80
0
07 Jun 2019
Label Prediction Framework for Semi-Supervised Cross-Modal Retrieval
Label Prediction Framework for Semi-Supervised Cross-Modal Retrieval
Devraj Mandal
Pramod Rao
Soma Biswas
27
4
0
27 May 2019
Graph U-Nets
Graph U-Nets
Hongyang Gao
Shuiwang Ji
AI4CESSLSSegGNN
140
1,095
0
11 May 2019
MixMatch: A Holistic Approach to Semi-Supervised Learning
MixMatch: A Holistic Approach to Semi-Supervised Learning
David Berthelot
Nicholas Carlini
Ian Goodfellow
Nicolas Papernot
Avital Oliver
Colin Raffel
208
3,044
0
06 May 2019
Deep Discriminative Clustering Analysis
Deep Discriminative Clustering Analysis
Jianlong Chang
Yiwen Guo
Lingfeng Wang
Gaofeng Meng
Shiming Xiang
Chunhong Pan
80
49
0
05 May 2019
Knowledge Flow: Improve Upon Your Teachers
Knowledge Flow: Improve Upon Your Teachers
Iou-Jen Liu
Jian-wei Peng
Alex Schwing
110
62
0
11 Apr 2019
Unsupervised Embedding Learning via Invariant and Spreading Instance
  Feature
Unsupervised Embedding Learning via Invariant and Spreading Instance Feature
Mang Ye
Xu-Yao Zhang
PongChi Yuen
Shih-Fu Chang
SSL
104
581
0
06 Apr 2019
Self-Supervised Visual Representations for Cross-Modal Retrieval
Self-Supervised Visual Representations for Cross-Modal Retrieval
Yash J. Patel
Lluís Gómez
Marçal Rusiñol
Dimosthenis Karatzas
C. V. Jawahar
SSL
36
14
0
31 Jan 2019
Spatial Broadcast Decoder: A Simple Architecture for Learning
  Disentangled Representations in VAEs
Spatial Broadcast Decoder: A Simple Architecture for Learning Disentangled Representations in VAEs
Nicholas Watters
Loic Matthey
Christopher P. Burgess
Alexander Lerchner
CoGe
107
169
0
21 Jan 2019
Ablation of a Robot's Brain: Neural Networks Under a Knife
Ablation of a Robot's Brain: Neural Networks Under a Knife
Peter Lillian
Richard Meyes
Tobias Meisen
47
10
0
13 Dec 2018
Leveraging Random Label Memorization for Unsupervised Pre-Training
Leveraging Random Label Memorization for Unsupervised Pre-Training
Vinaychandran Pondenkandath
Michele Alberti
Sammer Puran
Rolf Ingold
Marcus Liwicki
NoLa
107
14
0
05 Nov 2018
Unsupervised Identification of Disease Marker Candidates in Retinal OCT
  Imaging Data
Unsupervised Identification of Disease Marker Candidates in Retinal OCT Imaging Data
Philipp Seeböck
S. Waldstein
S. Klimscha
Hrvoje Bogunović
T. Schlegl
Bianca S. Gerendas
R. Donner
U. Schmidt-Erfurth
Georg Langs
75
81
0
31 Oct 2018
Scattering Networks for Hybrid Representation Learning
Scattering Networks for Hybrid Representation Learning
Edouard Oyallon
Sergey Zagoruyko
Gabriel Huang
N. Komodakis
Simon Lacoste-Julien
Matthew Blaschko
Eugene Belilovsky
66
86
0
17 Sep 2018
Style Augmentation: Data Augmentation via Style Randomization
Style Augmentation: Data Augmentation via Style Randomization
Philip T. G. Jackson
Amir Atapour-Abarghouei
Stephen Bonner
T. Breckon
B. Obara
OOD
73
177
0
14 Sep 2018
HybridNet: Classification and Reconstruction Cooperation for
  Semi-Supervised Learning
HybridNet: Classification and Reconstruction Cooperation for Semi-Supervised Learning
Thomas Robert
Nicolas Thome
Matthieu Cord
117
39
0
30 Jul 2018
Deep Unsupervised Multi-View Detection of Video Game Stream Highlights
Deep Unsupervised Multi-View Detection of Video Game Stream Highlights
Charles Ringer
M. Nicolaou
41
29
0
25 Jul 2018
Invariant Information Clustering for Unsupervised Image Classification
  and Segmentation
Invariant Information Clustering for Unsupervised Image Classification and Segmentation
Xu Ji
João F. Henriques
Andrea Vedaldi
SSLVLM
148
853
0
17 Jul 2018
Manifold Adversarial Learning
Manifold Adversarial Learning
Shufei Zhang
Kaizhu Huang
Jianke Zhu
Yang Liu
OODAAML
59
5
0
16 Jul 2018
Self-Supervised Feature Learning by Learning to Spot Artifacts
Self-Supervised Feature Learning by Learning to Spot Artifacts
Simon Jenni
Paolo Favaro
SSL
205
128
0
13 Jun 2018
Clustering-driven Deep Embedding with Pairwise Constraints
Clustering-driven Deep Embedding with Pairwise Constraints
Sharon Fogel
Hadar Averbuch-Elor
Jacob Goldberger
Daniel Cohen-Or
3DPC
65
48
0
22 Mar 2018
A Closed-form Solution to Photorealistic Image Stylization
A Closed-form Solution to Photorealistic Image Stylization
Yijun Li
Ming-Yuan Liu
Xueting Li
Ming-Hsuan Yang
Jan Kautz
102
410
0
19 Feb 2018
Deep supervised learning using local errors
Deep supervised learning using local errors
Hesham Mostafa
V. Ramesh
Gert Cauwenberghs
68
115
0
17 Nov 2017
Image Disguise based on Generative Model
Image Disguise based on Generative Model
X. Duan
Haoxian Song
E. Zhang
Jingjing Liu
DiffM
35
1
0
21 Oct 2017
AutoEncoder by Forest
AutoEncoder by Forest
Ji Feng
Zhi Zhou
AI4CE
67
63
0
26 Sep 2017
Improving Landmark Localization with Semi-Supervised Learning
Improving Landmark Localization with Semi-Supervised Learning
S. Honari
Pavlo Molchanov
Stephen Tyree
Pascal Vincent
C. Pal
Jan Kautz
SSL
123
162
0
05 Sep 2017
123
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