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2412.19847
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Symbolic Disentangled Representations for Images
31 December 2024
Alexandr Korchemnyi
A. Kovalev
Aleksandr I. Panov
OCL
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Papers citing
"Symbolic Disentangled Representations for Images"
46 / 46 papers shown
Title
Measuring and Guiding Monosemanticity
Ruben Härle
Felix Friedrich
Manuel Brack
Stephan Wäldchen
Björn Deiseroth
P. Schramowski
Kristian Kersting
47
2
0
24 Jun 2025
Object-Centric Learning with Slot Mixture Module
Daniil E. Kirilenko
Vitaliy Vorobyov
A. Kovalev
Aleksandr I. Panov
OCL
291
5
0
08 Nov 2023
Systematic Visual Reasoning through Object-Centric Relational Abstraction
Neural Information Processing Systems (NeurIPS), 2023
Taylor Webb
S. S. Mondal
Jonathan D. Cohen
OCL
371
27
0
04 Jun 2023
Bridging the Gap to Real-World Object-Centric Learning
International Conference on Learning Representations (ICLR), 2022
Maximilian Seitzer
Max Horn
Antonios Tragoudaras
Dominik Zietlow
Tianjun Xiao
...
Tong He
Zheng Zhang
Bernhard Schölkopf
Thomas Brox
Francesco Locatello
OCL
267
189
0
29 Sep 2022
Lost in Latent Space: Disentangled Models and the Challenge of Combinatorial Generalisation
M. Montero
J. Bowers
Rui Ponte Costa
Casimir J. H. Ludwig
Gaurav Malhotra
DRL
CoGe
167
14
0
05 Apr 2022
Generative Adversarial Networks
International Conference on Computing Communication and Networking Technologies (ICCCNT), 2021
Gilad Cohen
Raja Giryes
GAN
773
30,297
0
01 Mar 2022
A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part II: Applications, Cognitive Models, and Challenges
ACM Computing Surveys (CSUR), 2021
Denis Kleyko
D. Rachkovskij
Evgeny Osipov
A. Rahim
409
160
0
12 Nov 2021
A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part I: Models and Data Transformations
ACM Computing Surveys (CSUR), 2021
Denis Kleyko
D. Rachkovskij
Evgeny Osipov
Abbas Rahimi
365
166
0
11 Nov 2021
Illiterate DALL-E Learns to Compose
Gautam Singh
Fei Deng
Sungjin Ahn
CoGe
OCL
330
161
0
17 Oct 2021
Hyperseed: Unsupervised Learning with Vector Symbolic Architectures
Evgeny Osipov
Sachin Kahawala
D. Haputhanthri
Thimal Kempitiya
Daswin De Silva
D. Alahakoon
Denis Kleyko
280
34
0
15 Oct 2021
Unified Questioner Transformer for Descriptive Question Generation in Goal-Oriented Visual Dialogue
IEEE International Conference on Computer Vision (ICCV), 2021
Shoya Matsumori
Kosuke Shingyouchi
Yukikoko Abe
Yosuke Fukuchi
K. Sugiura
M. Imai
164
17
0
29 Jun 2021
Vector Symbolic Architectures as a Computing Framework for Emerging Hardware
Proceedings of the IEEE (Proc. IEEE), 2021
Denis Kleyko
Mike Davies
E. P. Frady
P. Kanerva
Spencer J. Kent
...
Evgeny Osipov
J. Rabaey
D. Rachkovskij
Abbas Rahimi
Friedrich T. Sommer
222
75
0
09 Jun 2021
Emerging Properties in Self-Supervised Vision Transformers
IEEE International Conference on Computer Vision (ICCV), 2021
Mathilde Caron
Hugo Touvron
Ishan Misra
Edouard Grave
Julien Mairal
Piotr Bojanowski
Armand Joulin
1.9K
7,733
0
29 Apr 2021
Learning Disentangled Representation by Exploiting Pretrained Generative Models: A Contrastive Learning View
International Conference on Learning Representations (ICLR), 2021
Xuanchi Ren
Tao Yang
Yuwang Wang
W. Zeng
CoGe
OCL
DRL
204
46
0
21 Feb 2021
Towards Building A Group-based Unsupervised Representation Disentanglement Framework
International Conference on Learning Representations (ICLR), 2021
Tao Yang
Xuanchi Ren
Yuwang Wang
W. Zeng
Nanning Zheng
CoGe
DRL
178
32
0
20 Feb 2021
Object-Centric Learning with Slot Attention
Francesco Locatello
Dirk Weissenborn
Thomas Unterthiner
Aravindh Mahendran
G. Heigold
Jakob Uszkoreit
Alexey Dosovitskiy
Thomas Kipf
OCL
475
994
0
26 Jun 2020
Vector symbolic architectures for context-free grammars
Cognitive Computation (Cogn Comput), 2020
P. B. Graben
Markus Huber
Werner Meyer
Ronald Römer
M. Wolff
216
9
0
11 Mar 2020
NestedVAE: Isolating Common Factors via Weak Supervision
Computer Vision and Pattern Recognition (CVPR), 2020
M. Vowels
Necati Cihan Camgöz
Richard Bowden
CML
DRL
150
22
0
26 Feb 2020
A comparison of Vector Symbolic Architectures
Artificial Intelligence Review (AI Review), 2020
Kenny Schlegel
Peer Neubert
P. Protzel
316
133
0
31 Jan 2020
Dota 2 with Large Scale Deep Reinforcement Learning
OpenAI OpenAI
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Christopher Berner
Greg Brockman
Brooke Chan
...
Szymon Sidor
Ilya Sutskever
Jie Tang
Filip Wolski
Susan Zhang
GNN
VLM
CLL
AI4CE
LRM
320
2,015
0
13 Dec 2019
Learning Disentangled Representations via Mutual Information Estimation
European Conference on Computer Vision (ECCV), 2019
E. Sanchez
M. Serrurier
M. Ortner
SSL
DRL
167
113
0
09 Dec 2019
Object-Centric Task and Motion Planning in Dynamic Environments
IEEE Robotics and Automation Letters (RA-L), 2019
Toki Migimatsu
Jeannette Bohg
249
104
0
12 Nov 2019
Unsupervised Robust Disentangling of Latent Characteristics for Image Synthesis
IEEE International Conference on Computer Vision (ICCV), 2019
Patrick Esser
Johannes Haux
Bjorn Ommer
OOD
OCL
DRL
123
40
0
22 Oct 2019
Weakly Supervised Disentanglement with Guarantees
International Conference on Learning Representations (ICLR), 2019
Rui Shu
Yining Chen
Abhishek Kumar
Stefano Ermon
Ben Poole
CoGe
DRL
307
145
0
22 Oct 2019
CLEVRER: CoLlision Events for Video REpresentation and Reasoning
International Conference on Learning Representations (ICLR), 2019
Kexin Yi
Yuta Saito
Yunzhu Li
Pushmeet Kohli
Jiajun Wu
Antonio Torralba
J. Tenenbaum
NAI
323
480
0
03 Oct 2019
Unsupervised Learning of Object Keypoints for Perception and Control
Neural Information Processing Systems (NeurIPS), 2019
Tejas D. Kulkarni
Ankush Gupta
Catalin Ionescu
Sebastian Borgeaud
Malcolm Reynolds
Andrew Zisserman
Volodymyr Mnih
SSL
OCL
196
209
0
19 Jun 2019
InfoGAN-CR and ModelCentrality: Self-supervised Model Training and Selection for Disentangling GANs
International Conference on Machine Learning (ICML), 2019
Zinan Lin
K. K. Thekumparampil
Giulia Fanti
Sewoong Oh
DRL
230
37
0
14 Jun 2019
Are Disentangled Representations Helpful for Abstract Visual Reasoning?
Neural Information Processing Systems (NeurIPS), 2019
Sjoerd van Steenkiste
Francesco Locatello
Jürgen Schmidhuber
Olivier Bachem
213
216
0
29 May 2019
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
1.5K
11,976
0
12 Dec 2018
Towards a Definition of Disentangled Representations
I. Higgins
David Amos
David Pfau
S. Racanière
Loic Matthey
Danilo Jimenez Rezende
Alexander Lerchner
OCL
DRL
366
508
0
05 Dec 2018
Tell, Draw, and Repeat: Generating and Modifying Images Based on Continual Linguistic Instruction
IEEE International Conference on Computer Vision (ICCV), 2018
Alaaeldin El-Nouby
Shikhar Sharma
Hannes Schulz
Devon Hjelm
Layla El Asri
Samira Ebrahimi Kahou
Yoshua Bengio
Graham W.Taylor
VLM
254
127
0
24 Nov 2018
Fast Exploration with Simplified Models and Approximately Optimistic Planning in Model Based Reinforcement Learning
Ramtin Keramati
Jay Whang
Patrick Cho
Emma Brunskill
OffRL
251
7
0
01 Jun 2018
Disentangling Factors of Variation with Cycle-Consistent Variational Auto-Encoders
A. Jha
Saket Anand
Maneesh Kumar Singh
V. Veeravasarapu
CoGe
DRL
112
135
0
27 Apr 2018
ShapeStacks: Learning Vision-Based Physical Intuition for Generalised Object Stacking
European Conference on Computer Vision (ECCV), 2018
Oliver Groth
F. Fuchs
Ingmar Posner
Andrea Vedaldi
243
105
0
21 Apr 2018
Disentangling by Factorising
Hyunjik Kim
A. Mnih
CoGe
OOD
948
1,446
0
16 Feb 2018
Variational Inference of Disentangled Latent Concepts from Unlabeled Observations
Abhishek Kumar
P. Sattigeri
Avinash Balakrishnan
BDL
DRL
282
556
0
02 Nov 2017
Graph Attention Networks
International Conference on Learning Representations (ICLR), 2017
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
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30 Oct 2017
Multi-Level Variational Autoencoder: Learning Disentangled Representations from Grouped Observations
Diane Bouchacourt
Ryota Tomioka
Sebastian Nowozin
BDL
OOD
DRL
253
325
0
24 May 2017
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning
Computer Vision and Pattern Recognition (CVPR), 2016
Justin Johnson
B. Hariharan
Laurens van der Maaten
Li Fei-Fei
C. L. Zitnick
Ross B. Girshick
CoGe
658
2,648
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20 Dec 2016
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets
Xi Chen
Yan Duan
Rein Houthooft
John Schulman
Ilya Sutskever
Pieter Abbeel
GAN
627
4,399
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12 Jun 2016
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
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214,937
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Deep Convolutional Networks on Graph-Structured Data
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Joan Bruna
Yann LeCun
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318
1,641
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16 Jun 2015
Deep Learning Face Attributes in the Wild
IEEE International Conference on Computer Vision (ICCV), 2014
Ziwei Liu
Ping Luo
Xiaogang Wang
Xiaoou Tang
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Neural Machine Translation by Jointly Learning to Align and Translate
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Efficient Estimation of Word Representations in Vector Space
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Kai Chen
G. Corrado
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Representation Learning: A Review and New Perspectives
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2012
Yoshua Bengio
Aaron Courville
Pascal Vincent
OOD
SSL
809
13,184
0
24 Jun 2012
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