Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2002.10549
Cited By
Progressive Learning and Disentanglement of Hierarchical Representations
International Conference on Learning Representations (ICLR), 2020
24 February 2020
Zhiyuan Li
J. Murkute
P. Gyawali
Linwei Wang
DRL
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Progressive Learning and Disentanglement of Hierarchical Representations"
29 / 29 papers shown
Pre-trained Multiple Latent Variable Generative Models are good defenders against Adversarial Attacks
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Dario Serez
Marco Cristani
Alessio Del Bue
Vittorio Murino
Pietro Morerio
AAML
456
1
0
04 Dec 2024
Rethinking Disentanglement under Dependent Factors of Variation
Antonio Almudévar
Alfonso Ortega
DRL
CoGe
431
1
0
13 Aug 2024
Graph-based Unsupervised Disentangled Representation Learning via Multimodal Large Language Models
Baao Xie
Qiuyu Chen
Yunnan Wang
Zequn Zhang
Xin Jin
Wenjun Zeng
OffRL
281
12
0
26 Jul 2024
CAVACHON: a hierarchical variational autoencoder to integrate multi-modal single-cell data
Ping-Han Hsieh
Ru-Xiu Hsiao
Katalin Ferenc
Anthony Mathelier
R. Burkholz
Chien-Yu Chen
G. K. Sandve
T. Belova
M. Kuijjer
168
0
0
28 May 2024
Learning Hierarchical Features with Joint Latent Space Energy-Based Prior
Jiali Cui
Ying Nian Wu
Tian Han
BDL
207
11
0
14 Oct 2023
C
2
^2
2
VAE: Gaussian Copula-based VAE Differing Disentangled from Coupled Representations with Contrastive Posterior
Zhangkai Wu
LongBing Cao
CoGe
CML
DRL
381
4
0
23 Sep 2023
Disentanglement via Latent Quantization
Neural Information Processing Systems (NeurIPS), 2023
Kyle Hsu
W. Dorrell
James C. R. Whittington
Jiajun Wu
Chelsea Finn
DRL
486
46
0
28 May 2023
Enriching Disentanglement: From Logical Definitions to Quantitative Metrics
Neural Information Processing Systems (NeurIPS), 2023
Yivan Zhang
Masashi Sugiyama
329
2
0
19 May 2023
A Category-theoretical Meta-analysis of Definitions of Disentanglement
International Conference on Machine Learning (ICML), 2023
Yivan Zhang
Masashi Sugiyama
440
5
0
11 May 2023
ProGAP: Progressive Graph Neural Networks with Differential Privacy Guarantees
Web Search and Data Mining (WSDM), 2023
Sina Sajadmanesh
D. Gática-Pérez
451
25
0
18 Apr 2023
Disentangled Representation Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Xin Eric Wang
Hong Chen
Siao Tang
Zihao Wu
Wenwu Zhu
DRL
624
187
0
21 Nov 2022
Disentanglement of Correlated Factors via Hausdorff Factorized Support
International Conference on Learning Representations (ICLR), 2022
Karsten Roth
Mark Ibrahim
Zeynep Akata
Pascal Vincent
Diane Bouchacourt
CML
OOD
CoGe
323
42
0
13 Oct 2022
Interaction Modeling with Multiplex Attention
Neural Information Processing Systems (NeurIPS), 2022
Fan-Yun Sun
Isaac Kauvar
Ruohan Zhang
Jiachen Li
Mykel Kochenderfer
Jiajun Wu
Nick Haber
194
25
0
23 Aug 2022
Towards Unsupervised Content Disentanglement in Sentence Representations via Syntactic Roles
G. Felhi
Joseph Le Roux
Djamé Seddah
DRL
205
6
0
22 Jun 2022
Exploiting Inductive Bias in Transformers for Unsupervised Disentanglement of Syntax and Semantics with VAEs
North American Chapter of the Association for Computational Linguistics (NAACL), 2022
G. Felhi
Joseph Le Roux
Djamé Seddah
DRL
265
2
0
12 May 2022
Towards Robust Unsupervised Disentanglement of Sequential Data -- A Case Study Using Music Audio
International Joint Conference on Artificial Intelligence (IJCAI), 2022
Yin-Jyun Luo
Sebastian Ewert
S. Dixon
CoGe
312
13
0
12 May 2022
Object Pursuit: Building a Space of Objects via Discriminative Weight Generation
Chuanyu Pan
Yanchao Yang
Kaichun Mo
Yueqi Duan
Leonidas Guibas
OCL
219
1
0
15 Dec 2021
ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training
International Conference on Machine Learning (ICML), 2021
Hui-Po Wang
Sebastian U. Stich
Yang He
Mario Fritz
FedML
AI4CE
376
69
0
11 Oct 2021
Boxhead: A Dataset for Learning Hierarchical Representations
Yukun Chen
Andrea Dittadi
Frederik Trauble
Stefan Bauer
Bernhard Schölkopf
CML
303
2
0
07 Oct 2021
Disentanglement Analysis with Partial Information Decomposition
International Conference on Learning Representations (ICLR), 2021
Seiya Tokui
Issei Sato
CoGe
DRL
279
16
0
31 Aug 2021
Multi-Facet Clustering Variational Autoencoders
Neural Information Processing Systems (NeurIPS), 2021
Fabian Falck
Haoting Zhang
M. Willetts
G. Nicholson
C. Yau
Chris Holmes
DRL
392
50
0
09 Jun 2021
Task-Generic Hierarchical Human Motion Prior using VAEs
International Conference on 3D Vision (3DV), 2021
Jiaman Li
Ruben Villegas
Duygu Ceylan
Jimei Yang
Zhengfei Kuang
Hao Li
Yajie Zhao
3DH
322
52
0
07 Jun 2021
Commutative Lie Group VAE for Disentanglement Learning
International Conference on Machine Learning (ICML), 2021
Xinqi Zhu
Chang Xu
Dacheng Tao
CoGe
DRL
247
33
0
07 Jun 2021
Where and What? Examining Interpretable Disentangled Representations
Computer Vision and Pattern Recognition (CVPR), 2021
Xinqi Zhu
Chang Xu
Dacheng Tao
FAtt
DRL
264
48
0
07 Apr 2021
Diagonal Attention and Style-based GAN for Content-Style Disentanglement in Image Generation and Translation
IEEE International Conference on Computer Vision (ICCV), 2021
Gihyun Kwon
Jong Chul Ye
430
60
0
30 Mar 2021
Disentangling semantics in language through VAEs and a certain architectural choice
G. Felhi
Joseph Le Roux
Djamé Seddah
CoGe
DRL
171
1
0
24 Dec 2020
Measuring Disentanglement: A Review of Metrics
IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020
M. Carbonneau
Julian Zaïdi
Jonathan Boilard
G. Gagnon
CoGe
DRL
317
106
0
16 Dec 2020
Controlling the Interaction Between Generation and Inference in Semi-Supervised Variational Autoencoders Using Importance Weighting
G. Felhi
Joseph Leroux
Djamé Seddah
BDL
237
1
0
13 Oct 2020
Hierarchically Organized Latent Modules for Exploratory Search in Morphogenetic Systems
Mayalen Etcheverry
Clément Moulin-Frier
Pierre-Yves Oudeyer
358
28
0
02 Jul 2020
1
Page 1 of 1
