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Disentangling factors of variation in deep representations using
  adversarial training

Disentangling factors of variation in deep representations using adversarial training

10 November 2016
Michaël Mathieu
J. Zhao
Pablo Sprechmann
Aditya A. Ramesh
Yann LeCun
    DRL
    CML
ArXivPDFHTML

Papers citing "Disentangling factors of variation in deep representations using adversarial training"

50 / 263 papers shown
Title
Synthetic Data is an Elegant GIFT for Continual Vision-Language Models
Bin Wu
Wuxuan Shi
Jinqiao Wang
Mang Ye
CLL
VLM
53
0
0
06 Mar 2025
Causal Deep Learning
Causal Deep Learning
M. Alex O. Vasilescu
CML
59
2
1
03 Jan 2025
Unsupervised discovery of the shared and private geometry in multi-view data
Unsupervised discovery of the shared and private geometry in multi-view data
Sai Koukuntla
Joshua B. Julian
Jesse C. Kaminsky
Manuel Schottdorf
David W. Tank
C. Brody
Adam S. Charles
46
0
0
31 Dec 2024
Approximate Fiber Product: A Preliminary Algebraic-Geometric Perspective on Multimodal Embedding Alignment
Dongfang Zhao
64
0
0
30 Nov 2024
An Information Criterion for Controlled Disentanglement of Multimodal Data
An Information Criterion for Controlled Disentanglement of Multimodal Data
Chenyu Wang
Sharut Gupta
Xinyi Zhang
Sana Tonekaboni
Stefanie Jegelka
Tommi Jaakkola
Caroline Uhler
DRL
42
1
0
31 Oct 2024
LoRKD: Low-Rank Knowledge Decomposition for Medical Foundation Models
LoRKD: Low-Rank Knowledge Decomposition for Medical Foundation Models
Haolin Li
Yuhang Zhou
Ziheng Zhao
Siyuan Du
Jiangchao Yao
Weidi Xie
Ya Zhang
Yanfeng Wang
31
1
0
29 Sep 2024
Disentangled Representations for Short-Term and Long-Term Person
  Re-Identification
Disentangled Representations for Short-Term and Long-Term Person Re-Identification
Chanho Eom
Wonkyung Lee
Geon Lee
Bumsub Ham
OOD
DRL
30
16
0
09 Sep 2024
DualContrast: Unsupervised Disentangling of Content and Transformations with Implicit Parameterization
DualContrast: Unsupervised Disentangling of Content and Transformations with Implicit Parameterization
M. R. Uddin
Min Xu
51
0
0
27 May 2024
ShapeFusion: A 3D diffusion model for localized shape editing
ShapeFusion: A 3D diffusion model for localized shape editing
Rolandos Alexandros Potamias
Michail Tarasiou
Stylianos Ploumpis
S. Zafeiriou
32
2
0
28 Mar 2024
Medical Speech Symptoms Classification via Disentangled Representation
Medical Speech Symptoms Classification via Disentangled Representation
Jianzong Wang
Pengcheng Li
Xulong Zhang
Ning Cheng
Jing Xiao
14
0
0
08 Mar 2024
Disentangled Multimodal Brain MR Image Translation via Transformer-based
  Modality Infuser
Disentangled Multimodal Brain MR Image Translation via Transformer-based Modality Infuser
Jihoon Cho
Xiaofeng Liu
Fangxu Xing
J. Ouyang
G. El Fakhri
Jinah Park
Jonghye Woo
MedIm
19
1
0
01 Feb 2024
Unsupervised Multiple Domain Translation through Controlled
  Disentanglement in Variational Autoencoder
Unsupervised Multiple Domain Translation through Controlled Disentanglement in Variational Autoencoder
Antonio Almudévar
Théo Mariotte
Alfonso Ortega Giménez
Marie Tahon
DRL
21
1
0
17 Jan 2024
Molecule Joint Auto-Encoding: Trajectory Pretraining with 2D and 3D
  Diffusion
Molecule Joint Auto-Encoding: Trajectory Pretraining with 2D and 3D Diffusion
Weitao Du
Jiujiu Chen
Xuecang Zhang
Zhiming Ma
Shengchao Liu
DiffM
30
9
0
06 Dec 2023
AdvGen: Physical Adversarial Attack on Face Presentation Attack
  Detection Systems
AdvGen: Physical Adversarial Attack on Face Presentation Attack Detection Systems
Sai Amrit Patnaik
Shivali Chansoriya
Anil K. Jain
A. Namboodiri
AAML
GAN
34
0
0
20 Nov 2023
Towards Improving Robustness Against Common Corruptions using Mixture of
  Class Specific Experts
Towards Improving Robustness Against Common Corruptions using Mixture of Class Specific Experts
Shashank Kotyan
Danilo Vasconcellos Vargas
AAML
20
0
0
16 Nov 2023
SCADI: Self-supervised Causal Disentanglement in Latent Variable Models
SCADI: Self-supervised Causal Disentanglement in Latent Variable Models
Heejeong Nam
CML
15
1
0
11 Nov 2023
Disentangled Representation Learning with Transmitted Information
  Bottleneck
Disentangled Representation Learning with Transmitted Information Bottleneck
Zhuohang Dang
Minnan Luo
Chengyou Jia
Guangwen Dai
Jihong Wang
Xiao Chang
Jingdong Wang
Qinghua Zheng
37
4
0
03 Nov 2023
A Chronological Survey of Theoretical Advancements in Generative
  Adversarial Networks for Computer Vision
A Chronological Survey of Theoretical Advancements in Generative Adversarial Networks for Computer Vision
Hrishikesh Sharma
AI4CE
EGVM
13
1
0
02 Nov 2023
Disentanglement Learning via Topology
Disentanglement Learning via Topology
Nikita Balabin
Daria Voronkova
I. Trofimov
Evgeny Burnaev
S. Barannikov
DRL
58
2
0
24 Aug 2023
Disentangle then Parse:Night-time Semantic Segmentation with
  Illumination Disentanglement
Disentangle then Parse:Night-time Semantic Segmentation with Illumination Disentanglement
Zhixiang Wei
Lin Chen
Tao Tu
H. Chen
Pengyang Ling
Yi Jin
31
7
0
18 Jul 2023
Stabilizing GANs' Training with Brownian Motion Controller
Stabilizing GANs' Training with Brownian Motion Controller
Tianjiao Luo
Ziyu Zhu
Jianfei Chen
Jun Zhu
26
4
0
18 Jun 2023
Contrastive Representation Disentanglement for Clustering
Contrastive Representation Disentanglement for Clustering
Fei Ding
Dan Zhang
Yin Yang
V. Krovi
Feng Luo
SSL
DRL
17
0
0
08 Jun 2023
DualVAE: Controlling Colours of Generated and Real Images
DualVAE: Controlling Colours of Generated and Real Images
Keerth Rathakumar
David Liebowitz
Christian J. Walder
Kristen Moore
S. Kanhere
26
0
0
30 May 2023
Correcting Flaws in Common Disentanglement Metrics
Correcting Flaws in Common Disentanglement Metrics
Louis Mahon
Lei Shah
Thomas Lukasiewicz
CoGe
DRL
34
3
0
05 Apr 2023
Place Recognition under Occlusion and Changing Appearance via
  Disentangled Representations
Place Recognition under Occlusion and Changing Appearance via Disentangled Representations
Yueting Chen
Xingyu Chen
Yicen Li
27
1
0
21 Nov 2022
UDoc-GAN: Unpaired Document Illumination Correction with Background
  Light Prior
UDoc-GAN: Unpaired Document Illumination Correction with Background Light Prior
Yonghui Wang
Wen-gang Zhou
Zhenbo Lu
Houqiang Li
19
16
0
15 Oct 2022
A Realism Metric for Generated LiDAR Point Clouds
A Realism Metric for Generated LiDAR Point Clouds
Larissa T. Triess
Christoph B. Rist
David Peter
J. Marius Zöllner
3DPC
32
8
0
31 Aug 2022
Design What You Desire: Icon Generation from Orthogonal Application and
  Theme Labels
Design What You Desire: Icon Generation from Orthogonal Application and Theme Labels
Yinpeng Chen
Zhiyu Pan
Min Shi
Hao Lu
Zhiguo Cao
Weicai Zhong
GAN
19
3
0
31 Jul 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
31
28
0
19 Jul 2022
Factorizing Knowledge in Neural Networks
Factorizing Knowledge in Neural Networks
Xingyi Yang
Jingwen Ye
Xinchao Wang
MoMe
47
121
0
04 Jul 2022
Learning Fair Representation via Distributional Contrastive
  Disentanglement
Learning Fair Representation via Distributional Contrastive Disentanglement
Changdae Oh
Heeji Won
Junhyuk So
Taero Kim
Yewon Kim
Hosik Choi
Kyungwoo Song
FaML
CoGe
CML
DRL
21
40
0
17 Jun 2022
FaIRCoP: Facial Image Retrieval using Contrastive Personalization
FaIRCoP: Facial Image Retrieval using Contrastive Personalization
Devansh Gupta
Aditya Saini
Drishti Bhasin
Sarthak Bhagat
Shagun Uppal
R. Jain
Ponnurangam Kumaraguru
R. Shah
13
1
0
28 May 2022
CIGMO: Categorical invariant representations in a deep generative
  framework
CIGMO: Categorical invariant representations in a deep generative framework
H. Hosoya
GAN
OCL
13
0
0
27 May 2022
How to keep text private? A systematic review of deep learning methods
  for privacy-preserving natural language processing
How to keep text private? A systematic review of deep learning methods for privacy-preserving natural language processing
Samuel Sousa
Roman Kern
PILM
AILaw
22
40
0
20 May 2022
Content-Context Factorized Representations for Automated Speech
  Recognition
Content-Context Factorized Representations for Automated Speech Recognition
David M. Chan
Shalini Ghosh
18
11
0
19 May 2022
A Contrastive Objective for Learning Disentangled Representations
A Contrastive Objective for Learning Disentangled Representations
Jonathan Kahana
Yedid Hoshen
SSL
19
13
0
21 Mar 2022
Retriever: Learning Content-Style Representation as a Token-Level
  Bipartite Graph
Retriever: Learning Content-Style Representation as a Token-Level Bipartite Graph
Dacheng Yin
Xuanchi Ren
Chong Luo
Yuwang Wang
Zhiwei Xiong
Wenjun Zeng
52
13
0
24 Feb 2022
Learning Disentangled Behaviour Patterns for Wearable-based Human
  Activity Recognition
Learning Disentangled Behaviour Patterns for Wearable-based Human Activity Recognition
Jie Su
Z. Wen
Tao R. Lin
Yu Guan
19
18
0
15 Feb 2022
Decoupling Local and Global Representations of Time Series
Decoupling Local and Global Representations of Time Series
S. Tonekaboni
Chun-Liang Li
Sercan Ö. Arik
Anna Goldenberg
Tomas Pfister
AI4TS
CML
OOD
22
20
0
04 Feb 2022
Disentangling Style and Speaker Attributes for TTS Style Transfer
Disentangling Style and Speaker Attributes for TTS Style Transfer
Xiaochun An
Frank Soong
Lei Xie
56
18
0
24 Jan 2022
Decompose to Adapt: Cross-domain Object Detection via Feature
  Disentanglement
Decompose to Adapt: Cross-domain Object Detection via Feature Disentanglement
Dongnan Liu
Chaoyi Zhang
Yang Song
Heng Huang
Chenyu Wang
Michael Barnett
Weidong (Tom) Cai
15
37
0
06 Jan 2022
Disentanglement by Cyclic Reconstruction
Disentanglement by Cyclic Reconstruction
David Bertoin
Emmanuel Rachelson
OOD
21
4
0
24 Dec 2021
MoCaNet: Motion Retargeting in-the-wild via Canonicalization Networks
MoCaNet: Motion Retargeting in-the-wild via Canonicalization Networks
Wentao Zhu
Zhuoqian Yang
Ziang Di
Wayne Wu
Yizhou Wang
Chen Change Loy
34
19
0
19 Dec 2021
Image Style Transfer and Content-Style Disentanglement
Image Style Transfer and Content-Style Disentanglement
Sailun Xu
Jiazhi Zhang
Jiamei Liu
DRL
11
1
0
25 Nov 2021
Source-free unsupervised domain adaptation for cross-modality abdominal
  multi-organ segmentation
Source-free unsupervised domain adaptation for cross-modality abdominal multi-organ segmentation
Jin Hong
Yudong Zhang
Weitian Chen
OOD
MedIm
30
82
0
24 Nov 2021
Closed-Loop Data Transcription to an LDR via Minimaxing Rate Reduction
Closed-Loop Data Transcription to an LDR via Minimaxing Rate Reduction
Xili Dai
Shengbang Tong
Mingyang Li
Ziyang Wu
Michael Psenka
...
Pengyuan Zhai
Yaodong Yu
Xiaojun Yuan
Harry Shum
Yi Ma
25
30
0
12 Nov 2021
Drop, Swap, and Generate: A Self-Supervised Approach for Generating
  Neural Activity
Drop, Swap, and Generate: A Self-Supervised Approach for Generating Neural Activity
Ran Liu
Mehdi Azabou
M. Dabagia
Chi-Heng Lin
M. G. Azar
Keith B. Hengen
Michal Valko
Eva L. Dyer
OCL
SSL
DRL
17
36
0
03 Nov 2021
Inference-InfoGAN: Inference Independence via Embedding Orthogonal Basis
  Expansion
Inference-InfoGAN: Inference Independence via Embedding Orthogonal Basis Expansion
Hongxiang Jiang
Jihao Yin
Xiaoyan Luo
Fuxiang Wang
DRL
30
2
0
02 Oct 2021
Quantifying point cloud realism through adversarially learned latent
  representations
Quantifying point cloud realism through adversarially learned latent representations
Larissa T. Triess
David Peter
Stefan A. Baur
J. Marius Zöllner
3DPC
32
2
0
24 Sep 2021
DisUnknown: Distilling Unknown Factors for Disentanglement Learning
DisUnknown: Distilling Unknown Factors for Disentanglement Learning
Sitao Xiang
Yuming Gu
Pengda Xiang
Menglei Chai
Hao Li
Yajie Zhao
Mingming He
CoGe
35
4
0
16 Sep 2021
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