Provably Learning Object-Centric Representations

International Conference on Machine Learning (ICML), 2023

23 May 2023

Wieland Brendel

Papers citing "Provably Learning Object-Centric Representations"

20 / 20 papers shown

Title
Eigenfunction Extraction for Ordered Representation Learning Burak Varıcı Che-Ping Tsai Ritabrata Ray Nicholas M. Boffi Pradeep Ravikumar 96 0 0 28 Oct 2025
Disentangled Representation Learning via Modular Compositional Bias Whie Jung Dong Hoon Lee Seunghoon Hong DRL OCL CoGe 597 0 0 24 Oct 2025
Diverse Influence Component Analysis: A Geometric Approach to Nonlinear Mixture Identifiability Hoang-Son Nguyen Xiao Fu CML 231 0 0 19 Oct 2025
Provable Affine Identifiability of Nonlinear CCA under Latent Distributional Priors Zhiwei Han Stefan Matthes Hao Shen CML 109 0 0 06 Oct 2025
Bridging Reasoning to Learning: Unmasking Illusions using Complexity Out of Distribution Generalization Mohammad Mahdi Samiei Paqaleh Arash Marioriyad Arman Tahmasebi-Zadeh Mohamadreza Fereydooni Mahdi Ghaznavai Mahdieh Soleymani Baghshah 116 0 0 06 Oct 2025
Nonparametric Identification of Latent Concepts Yujia Zheng Shaoan Xie Kun Zhang 167 1 0 30 Sep 2025
MetaSlot: Break Through the Fixed Number of Slots in Object-Centric Learning Hongjia Liu Rongzhen Zhao Haohan Chen Joni Pajarinen OCL VLM 479 1 0 27 May 2025
Are We Done with Object-Centric Learning? Alexander Rubinstein Christian Schroeder de Witt Matthias Bethge Seong Joon Oh OCL 2.0K 3 0 09 Apr 2025
DeCaFlow: A deconfounding causal generative model Alejandro Almodóvar Adrián Javaloy J. Parras Santiago Zazo Isabel Valera CML 325 0 0 19 Mar 2025
Towards Understanding Extrapolation: a Causal LensNeural Information Processing Systems (NeurIPS), 2025 Lingjing Kong Guangyi Chen P. Stojanov Haoyang Li Eric P. Xing Kun Zhang 627 4 0 17 Jan 2025
Compositional Risk Minimization Divyat Mahajan Mohammad Pezeshki Charles Arnal Alexia Jolicoeur-Martineau Kartik Ahuja Pascal Vincent 404 9 0 08 Oct 2024
Compositional Audio Representation LearningIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024 Sripathi Sridhar Mark Cartwright AI4TS 376 1 0 15 Sep 2024
Exploring the Effectiveness of Object-Centric Representations in Visual Question Answering: Comparative Insights with Foundation Models Amir Mohammad Karimi Mamaghan Samuele Papa Karl Henrik Johansson Stefan Bauer Andrea Dittadi OCL 518 12 0 22 Jul 2024
Learning Discrete Concepts in Latent Hierarchical Models Lingjing Kong Guan-Hong Chen Erdun Gao Eric P. Xing Yuejie Chi Kun Zhang 332 12 0 01 Jun 2024
SPARO: Selective Attention for Robust and Compositional Transformer Encodings for Vision Ankit Vani Bac Nguyen Samuel Lavoie Ranjay Krishna Aaron Courville 199 2 0 24 Apr 2024
Object-centric architectures enable efficient causal representation learningInternational Conference on Learning Representations (ICLR), 2023 Amin Mansouri Jason S. Hartford Yan Zhang Yoshua Bengio CML OCL OOD 242 24 0 29 Oct 2023
On the Identifiability of Quantized FactorsCLEaR (CLEaR), 2023 Vitória Barin Pacela Kartik Ahuja Damien Scieur Pascal Vincent OOD CML 242 3 0 28 Jun 2023
Nonparametric Identifiability of Causal Representations from Unknown InterventionsNeural Information Processing Systems (NeurIPS), 2023 Julius von Kügelgen M. Besserve Wendong Liang Luigi Gresele Armin Kekić Elias Bareinboim David M. Blei Bernhard Schölkopf CML 443 80 0 01 Jun 2023
Reusable Slotwise MechanismsNeural Information Processing Systems (NeurIPS), 2023 Trang Nguyen Amin Mansouri Kanika Madan Khuong N. Nguyen Kartik Ahuja Dianbo Liu Yoshua Bengio OCL 286 4 0 21 Feb 2023
Learning Efficient Abstract Planning Models that Choose What to PredictConference on Robot Learning (CoRL), 2022 Nishanth Kumar Willie McClinton Rohan Chitnis Tom Silver Tomás Lozano-Pérez L. Kaelbling 229 24 0 16 Aug 2022