OC-NMN: Object-centric Compositional Neural Module Network for
Generative Visual Analogical Reasoning

OC-NMN: Object-centric Compositional Neural Module Network for Generative Visual Analogical Reasoning

28 October 2023

Perouz Taslakian

David Vazquez

ArXiv (abs)PDF HTML

Papers citing "OC-NMN: Object-centric Compositional Neural Module Network for Generative Visual Analogical Reasoning"

18 / 18 papers shown

Title
Emergent Analogical Reasoning in Large Language Models Taylor Webb K. Holyoak Hongjing Lu ReLM ELM LRM AI4CE 110 314 0 19 Dec 2022
Scaling Instruction-Finetuned Language Models Hyung Won Chung Le Hou Shayne Longpre Barret Zoph Yi Tay ... Jacob Devlin Adam Roberts Denny Zhou Quoc V. Le Jason W. Wei ReLM LRM 234 3,165 0 20 Oct 2022
Neural Production Systems: Learning Rule-Governed Visual Dynamics Anirudh Goyal Aniket Didolkar Nan Rosemary Ke Charles Blundell Philippe Beaudoin N. Heess Michael C. Mozer Yoshua Bengio OCL 108 86 0 02 Mar 2021
Abstraction and Analogy-Making in Artificial Intelligence Melanie Mitchell 91 167 0 22 Feb 2021
Neural Abstract Reasoner Victor Kolev B. Georgiev Svetlin Penkov NAI 54 10 0 12 Nov 2020
Mastering Atari with Discrete World Models Danijar Hafner Timothy Lillicrap Mohammad Norouzi Jimmy Ba DRL 133 873 0 05 Oct 2020
Improving Generative Imagination in Object-Centric World Models Zhixuan Lin Yi-Fu Wu Skand Peri Bofeng Fu Jindong Jiang Sungjin Ahn OCL 118 81 0 05 Oct 2020
Object-Centric Learning with Slot Attention Francesco Locatello Dirk Weissenborn Thomas Unterthiner Aravindh Mahendran G. Heigold Jakob Uszkoreit Alexey Dosovitskiy Thomas Kipf OCL 239 859 0 26 Jun 2020
Closed Loop Neural-Symbolic Learning via Integrating Neural Perception, Grammar Parsing, and Symbolic Reasoning Qing Li Siyuan Huang Yining Hong Yixin Chen Ying Nian Wu Song-Chun Zhu NAI 84 83 0 11 Jun 2020
CLOSURE: Assessing Systematic Generalization of CLEVR Models Dzmitry Bahdanau H. D. Vries Timothy J. O'Donnell Shikhar Murty Philippe Beaudoin Yoshua Bengio Aaron Courville NAI 65 90 0 12 Dec 2019
Dream to Control: Learning Behaviors by Latent Imagination Danijar Hafner Timothy Lillicrap Jimmy Ba Mohammad Norouzi VLM 142 1,374 0 03 Dec 2019
Invariant Risk Minimization Martín Arjovsky Léon Bottou Ishaan Gulrajani David Lopez-Paz OOD 205 2,246 0 05 Jul 2019
Multi-Object Representation Learning with Iterative Variational Inference Klaus Greff Raphael Lopez Kaufman Rishabh Kabra Nicholas Watters Christopher P. Burgess Daniel Zoran Loic Matthey M. Botvinick Alexander Lerchner OCL SSL 106 510 0 01 Mar 2019
MONet: Unsupervised Scene Decomposition and Representation Christopher P. Burgess Loic Matthey Nicholas Watters Rishabh Kabra I. Higgins M. Botvinick Alexander Lerchner OCL 90 531 0 22 Jan 2019
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness Robert Geirhos Patricia Rubisch Claudio Michaelis Matthias Bethge Felix Wichmann Wieland Brendel 143 2,676 0 29 Nov 2018
Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions Sjoerd van Steenkiste Michael Chang Klaus Greff Jürgen Schmidhuber BDL OCL DRL 209 292 0 28 Feb 2018
IQ of Neural Networks Dokhyam Hoshen M. Werman 72 44 0 29 Sep 2017
Neural Module Networks Jacob Andreas Marcus Rohrbach Trevor Darrell Dan Klein CoGe 149 1,078 0 09 Nov 2015

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