v1v2v3 (latest)

Are Disentangled Representations Helpful for Abstract Visual Reasoning?

Neural Information Processing Systems (NeurIPS), 2019

29 May 2019

Sjoerd van Steenkiste

Francesco Locatello

Jürgen Schmidhuber

Olivier Bachem

ArXiv (abs)PDF HTML

Papers citing "Are Disentangled Representations Helpful for Abstract Visual Reasoning?"

50 / 138 papers shown

Title
Ego-centric Learning of Communicative World Models for Autonomous Driving Hang Wang D. Gao Junshan Zhang 87 1 0 09 Jun 2025
GAITGen: Disentangled Motion-Pathology Impaired Gait Generative Model -- Bringing Motion Generation to the Clinical Domain Vida Adeli Soroush Mehraban Majid Mirmehdi Alan Whone Benjamin Filtjens Amirhossein Dadashzadeh A. Fasano Andrea Iaboni Babak Taati Babak Taati 267 3 0 28 Mar 2025
Symbolic Disentangled Representations for Images Alexandr Korchemnyi A. Kovalev Aleksandr I. Panov OCL 270 1 0 31 Dec 2024
Task-Oriented Hierarchical Object Decomposition for Visuomotor ControlConference on Robot Learning (CoRL), 2024 Jianing Qian Yunshuang Li Bernadette Bucher Dinesh Jayaraman OCL 232 5 0 02 Nov 2024
Robust Domain Generalisation with Causal Invariant Bayesian Neural Networks Gaël Gendron Michael Witbrock Gillian Dobbie CML BDL OOD 159 0 0 08 Oct 2024
Transferring disentangled representations: bridging the gap between synthetic and real imagesNeural Information Processing Systems (NeurIPS), 2024 Jacopo Dapueto Nicoletta Noceti Francesca Odone OOD 402 2 0 26 Sep 2024
Emergence of Hidden Capabilities: Exploring Learning Dynamics in Concept Space Core Francisco Park Maya Okawa Andrew Lee Ekdeep Singh Lubana Hidenori Tanaka 307 26 0 27 Jun 2024
When does compositional structure yield compositional generalization? A kernel theory Samuel Lippl Kim Stachenfeld NAI CoGe 543 14 0 26 May 2024
Fair Graph Representation Learning via Sensitive Attribute Disentanglement Yuchang Zhu Jintang Li Zibin Zheng Liang Chen 160 11 0 11 May 2024
Learned feature representations are biased by complexity, learning order, position, and more Andrew Kyle Lampinen Stephanie C. Y. Chan Katherine Hermann AI4CE FaML SSL OOD 255 18 0 09 May 2024
Towards the Reusability and Compositionality of Causal RepresentationsCLEaR (CLEaR), 2024 Davide Talon Phillip Lippe Stuart James Alessio Del Bue Sara Magliacane BDL CML 196 7 0 14 Mar 2024
Revisiting Disentanglement in Downstream Tasks: A Study on Its Necessity for Abstract Visual Reasoning Ruiqian Nai Zixin Wen Ji Li Yuanzhi Li Yang Gao 159 2 0 01 Mar 2024
Toward A Causal Framework for Modeling Perception Jose M. Alvarez Salvatore Ruggieri CML 279 0 0 24 Jan 2024
Towards Generative Abstract Reasoning: Completing Raven's Progressive Matrix via Rule Abstraction and Selection Fan Shi Bin Li Xiangyang Xue ReLM LRM 210 5 0 18 Jan 2024
Generalization properties of contrastive world models Kandan Ramakrishnan R. J. Cotton Xaq Pitkow A. Tolias VLM OCL 125 0 0 29 Dec 2023
Sim-to-Real Causal Transfer: A Metric Learning Approach to Causally-Aware Interaction Representations Yuejiang Liu Ahmad Rahimi Po-Chien Luan Frano Rajic Alexandre Alahi 362 6 0 07 Dec 2023
Imagine the Unseen World: A Benchmark for Systematic Generalization in Visual World ModelsNeural Information Processing Systems (NeurIPS), 2023 Yeongbin Kim Gautam Singh Junyeong Park Çağlar Gülçehre Sungjin Ahn OCL VLM 214 7 0 15 Nov 2023
Diffusion Based Causal Representation Learning Amir Mohammad Karimi Mamaghan Andrea Dittadi Stefan Bauer Karl Henrik Johansson Francesco Quinzan CML DiffM 210 0 0 09 Nov 2023
Towards a Unified Framework of Contrastive Learning for Disentangled Representations Stefan Matthes Zhiwei Han Hao Shen 221 11 0 08 Nov 2023
Compositional Abilities Emerge Multiplicatively: Exploring Diffusion Models on a Synthetic TaskNeural Information Processing Systems (NeurIPS), 2023 Maya Okawa Ekdeep Singh Lubana Robert P. Dick Hidenori Tanaka CoGe DiffM 449 81 0 13 Oct 2023
Learning Concept-Based Causal Transition and Symbolic Reasoning for Visual PlanningIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2023 Yilue Qian Peiyu Yu Ying Nian Wu Yao Su Wei Wang Lifeng Fan LRM 272 3 0 05 Oct 2023
Measuring the Effect of Causal Disentanglement on the Adversarial Robustness of Neural Network ModelsInternational Conference on Information and Knowledge Management (CIKM), 2023 Preben Ness D. Marijan Sunanda Bose CML 139 0 0 21 Aug 2023
ETHER: Aligning Emergent Communication for Hindsight Experience Replay Kevin Denamganai Daniel Hernández Ozan Vardal S. Missaoui James Alfred Walker 199 0 0 28 Jul 2023
Learning Disentangled Discrete Representations David Friede Christian Reimers Heiner Stuckenschmidt Mathias Niepert CoGe OCL OOD DRL 176 0 0 26 Jul 2023
Abstracting Concept-Changing Rules for Solving Raven's Progressive Matrix Problems Fan Shi Bin Li Xiangyang Xue LRM 156 11 0 15 Jul 2023
Compositional Generalization from First PrinciplesNeural Information Processing Systems (NeurIPS), 2023 Thaddäus Wiedemer Prasanna Mayilvahanan Matthias Bethge Wieland Brendel OCL 182 57 0 10 Jul 2023
Text-Video Retrieval with Disentangled Conceptualization and Set-to-Set AlignmentInternational Joint Conference on Artificial Intelligence (IJCAI), 2023 Peng Jin Hao Li Ze-Long Cheng Jinfa Huang Zhennan Wang Li-ming Yuan Chang-rui Liu Jie Chen 259 50 0 20 May 2023
A multimodal dynamical variational autoencoder for audiovisual speech representation learningNeural Networks (NN), 2022 Samir Sadok Simon Leglaive Laurent Girin Xavier Alameda-Pineda Renaud Séguier 303 20 0 05 May 2023
Visual Referential Games Further the Emergence of Disentangled Representations Kevin Denamganai S. Missaoui James Alfred Walker OCL CoGe 240 6 0 27 Apr 2023
Symmetry and Complexity in Object-Centric Deep Active Inference ModelsInterface Focus (IF), 2023 Stefano Ferraro Toon Van de Maele Tim Verbelen Bart Dhoedt 139 7 0 14 Apr 2023
Factorizers for Distributed Sparse Block Codes Michael Hersche Aleksandar Terzić G. Karunaratne Jovin Langenegger Angeline Pouget G. Cherubini Luca Benini Abu Sebastian Abbas Rahimi 240 4 0 24 Mar 2023
Abstract Visual Reasoning: An Algebraic Approach for Solving Raven's Progressive MatricesComputer Vision and Pattern Recognition (CVPR), 2023 Aoxiang Fan Tushar Vaidya Y. Blankenship Saket Chandra Zhangsheng Lai Kai Fong Ernest Chong 363 10 0 21 Mar 2023
Distortion-Disentangled Contrastive LearningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023 Jinfeng Wang Sifan Song Jionglong Su S. Kevin Zhou SSL 287 7 0 09 Mar 2023
Learning to reason over visual objectsInternational Conference on Learning Representations (ICLR), 2023 S. S. Mondal Taylor Webb Jonathan D. Cohen OCL 338 33 0 03 Mar 2023
DAVA: Disentangling Adversarial Variational AutoencoderInternational Conference on Learning Representations (ICLR), 2023 Benjamin Estermann Roger Wattenhofer DRL 269 8 0 02 Mar 2023
Representation Disentaglement via Regularization by Causal Identification Juan Castorena OOD CML 326 0 0 28 Feb 2023
Deep Non-Monotonic Reasoning for Visual Abstract Reasoning Tasks Yu’an Yang Deepayan Sanyal Joel Michelson James Ainooson M. Kunda 294 0 0 08 Feb 2023
A Survey of Methods, Challenges and Perspectives in Causality Gaël Gendron Michael Witbrock Gillian Dobbie OOD AI4CE CML 344 13 0 01 Feb 2023
Causal Triplet: An Open Challenge for Intervention-centric Causal Representation LearningCLEaR (CLEaR), 2023 Yuejiang Liu Alexandre Alahi Chris Russell Max Horn Dominik Zietlow Bernhard Schölkopf Francesco Locatello CML 239 27 0 12 Jan 2023
Synergies between Disentanglement and Sparsity: Generalization and Identifiability in Multi-Task LearningInternational Conference on Machine Learning (ICML), 2022 Sébastien Lachapelle T. Deleu Divyat Mahajan Ioannis Mitliagkas Yoshua Bengio Damien Scieur Quentin Bertrand 218 39 0 26 Nov 2022
Disentangled Representation LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022 Xin Eric Wang Hong Chen Siao Tang Zihao Wu Wenwu Zhu DRL 504 147 0 21 Nov 2022
Mechanistic Mode ConnectivityInternational Conference on Machine Learning (ICML), 2022 Ekdeep Singh Lubana Eric J. Bigelow Robert P. Dick David M. Krueger Hidenori Tanaka 278 56 0 15 Nov 2022
Multi-Viewpoint and Multi-Evaluation with Felicitous Inductive Bias Boost Machine Abstract Reasoning Ability Qinglai Wei Diancheng Chen Beiming Yuan 231 12 0 26 Oct 2022
SW-VAE: Weakly Supervised Learn Disentangled Representation Via Latent Factor Swapping Jiageng Zhu Hanchen Xie Wael AbdAlmageed SSL CoGe DRL 140 4 0 21 Sep 2022
Disentangling Shape and Pose for Object-Centric Deep Active Inference ModelsInternational Workshop on Affective Interactions (AI), 2022 Stefano Ferraro Toon Van de Maele Pietro Mazzaglia Tim Verbelen Bart Dhoedt 3DV OCL DRL 190 8 0 16 Sep 2022
Weakly Supervised Invariant Representation Learning Via Disentangling Known and Unknown Nuisance Factors Jiageng Zhu Hanchen Xie Wael AbdAlmageed 123 1 0 15 Sep 2022
Comparing the latent space of generative models Andrea Asperti Valerio Tonelli DRL 152 18 0 14 Jul 2022
Learning Robust Representation for Joint Grading of Ophthalmic Diseases via Adaptive Curriculum and Feature DisentanglementInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022 Haoxuan Che Haibo Jin Haoxing Chen OOD 162 26 0 09 Jul 2022
Red PANDA: Disambiguating Anomaly Detection by Removing Nuisance Factors Niv Cohen Jonathan Kahana Yedid Hoshen 144 4 0 07 Jul 2022
An Empirical Study on Disentanglement of Negative-free Contrastive LearningNeural Information Processing Systems (NeurIPS), 2022 Jinkun Cao Ruiqian Nai Qing Yang Jialei Huang Yang Gao CoGe DRL 133 11 0 09 Jun 2022