Symbolic Disentangled Representations for Images

31 December 2024

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 AbstractionNeural Information Processing Systems (NeurIPS), 2023 Taylor Webb S. S. Mondal Jonathan D. Cohen OCL 375 27 0 04 Jun 2023
Bridging the Gap to Real-World Object-Centric LearningInternational 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 NetworksInternational Conference on Computing Communication and Networking Technologies (ICCCNT), 2021 Gilad Cohen Raja Giryes GAN 781 30,297 0 01 Mar 2022
A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part II: Applications, Cognitive Models, and ChallengesACM Computing Surveys (CSUR), 2021 Denis Kleyko D. Rachkovskij Evgeny Osipov A. Rahim 413 160 0 12 Nov 2021
A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part I: Models and Data TransformationsACM 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 334 162 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 DialogueIEEE 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 HardwareProceedings 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 TransformersIEEE 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 ViewInternational Conference on Learning Representations (ICLR), 2021 Xuanchi Ren Tao Yang Yuwang Wang W. Zeng CoGe OCL DRL 208 46 0 21 Feb 2021
Towards Building A Group-based Unsupervised Representation Disentanglement FrameworkInternational 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 grammarsCognitive 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 SupervisionComputer 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 ArchitecturesArtificial Intelligence Review (AI Review), 2020 Kenny Schlegel Peer Neubert P. Protzel 320 133 0 31 Jan 2020
Dota 2 with Large Scale Deep Reinforcement Learning OpenAI OpenAI : 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 EstimationEuropean 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 EnvironmentsIEEE 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 SynthesisIEEE 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 GuaranteesInternational 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 ReasoningInternational Conference on Learning Representations (ICLR), 2019 Kexin Yi Yuta Saito Yunzhu Li Pushmeet Kohli Jiajun Wu Antonio Torralba J. Tenenbaum NAI 327 480 0 03 Oct 2019
Unsupervised Learning of Object Keypoints for Perception and ControlNeural 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 GANsInternational 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 11,992 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 InstructionIEEE 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 StackingEuropean 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 NetworksInternational Conference on Learning Representations (ICLR), 2017 Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 2.1K 23,734 0 30 Oct 2017
Multi-Level Variational Autoencoder: Learning Disentangled Representations from Grouped Observations Diane Bouchacourt Ryota Tomioka Sebastian Nowozin BDL OOD DRL 257 325 0 24 May 2017
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual ReasoningComputer 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 0 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 0 12 Jun 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 3.6K 215,113 0 10 Dec 2015
Deep Convolutional Networks on Graph-Structured Data Mikael Henaff Joan Bruna Yann LeCun GNN 318 1,641 0 16 Jun 2015
Deep Learning Face Attributes in the WildIEEE International Conference on Computer Vision (ICCV), 2014 Ziwei Liu Ping Luo Xiaogang Wang Xiaoou Tang CVBM 1.4K 9,124 0 28 Nov 2014
Neural Machine Translation by Jointly Learning to Align and TranslateInternational Conference on Learning Representations (ICLR), 2014 Dzmitry Bahdanau Dong Wang Yoshua Bengio AIMat 1.5K 28,553 0 01 Sep 2014
Efficient Estimation of Word Representations in Vector SpaceInternational Conference on Learning Representations (ICLR), 2013 Tomas Mikolov Kai Chen G. Corrado J. Dean 3DV 1.3K 33,245 0 16 Jan 2013
Representation Learning: A Review and New PerspectivesIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2012 Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 809 13,184 0 24 Jun 2012