Raven's Progressive Matrices Completion with Latent Gaussian Process Priors

22 March 2021

Papers citing "Raven's Progressive Matrices Completion with Latent Gaussian Process Priors"

21 / 21 papers shown

Title
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 393 10,591 0 17 Feb 2020
Learning Perceptual Inference by Contrasting Chi Zhang Baoxiong Jia Feng Gao Yixin Zhu Hongjing Lu Song-Chun Zhu LRM 62 109 0 29 Nov 2019
Modeling Gestalt Visual Reasoning on the Raven's Progressive Matrices Intelligence Test Using Generative Image Inpainting Techniques Tianyu Hua M. Kunda 23 3 0 18 Nov 2019
V-PROM: A Benchmark for Visual Reasoning Using Visual Progressive Matrices Damien Teney Peng Wang Jiewei Cao Lingqiao Liu Chunhua Shen Anton Van Den Hengel 56 32 0 29 Jul 2019
Explicit Disentanglement of Appearance and Perspective in Generative Models N. Detlefsen Søren Hauberg CoGe DRL 55 49 0 11 Jun 2019
Are Disentangled Representations Helpful for Abstract Visual Reasoning? Sjoerd van Steenkiste Francesco Locatello Jürgen Schmidhuber Olivier Bachem 79 210 0 29 May 2019
Learning Discrete and Continuous Factors of Data via Alternating Disentanglement Yeonwoo Jeong Hyun Oh Song 49 49 0 23 May 2019
RAVEN: A Dataset for Relational and Analogical Visual rEasoNing Chi Zhang Feng Gao Baoxiong Jia Yixin Zhu Song-Chun Zhu AIMat 70 312 0 07 Mar 2019
Spatial Broadcast Decoder: A Simple Architecture for Learning Disentangled Representations in VAEs Nicholas Watters Loic Matthey Christopher P. Burgess Alexander Lerchner CoGe 89 169 0 21 Jan 2019
Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations Francesco Locatello Stefan Bauer Mario Lucic Gunnar Rätsch Sylvain Gelly Bernhard Schölkopf Olivier Bachem OOD 118 1,467 0 29 Nov 2018
Improving Generalization for Abstract Reasoning Tasks Using Disentangled Feature Representations Xander Steenbrugge Sam Leroux Tim Verbelen Bart Dhoedt OOD DRL 49 68 0 12 Nov 2018
Measuring abstract reasoning in neural networks David Barrett Felix Hill Adam Santoro Ari S. Morcos Timothy Lillicrap OOD 71 362 0 11 Jul 2018
Differentiable Compositional Kernel Learning for Gaussian Processes Shengyang Sun Guodong Zhang Chaoqi Wang Wenyuan Zeng Jiaman Li Roger C. Grosse BDL 59 69 0 12 Jun 2018
Learning Disentangled Joint Continuous and Discrete Representations Emilien Dupont DRL 78 242 0 31 Mar 2018
Disentangling by Factorising Hyunjik Kim A. Mnih CoGe OOD 62 1,350 0 16 Feb 2018
Generative Image Inpainting with Contextual Attention Jiahui Yu Zhe Lin Jimei Yang Xiaohui Shen Xin Lu Thomas S. Huang GAN DiffM 94 2,265 0 24 Jan 2018
Variational Inference of Disentangled Latent Concepts from Unlabeled Observations Abhishek Kumar P. Sattigeri Avinash Balakrishnan BDL DRL 81 523 0 02 Nov 2017
A simple neural network module for relational reasoning Adam Santoro David Raposo David Barrett Mateusz Malinowski Razvan Pascanu Peter W. Battaglia Timothy Lillicrap GNN NAI 179 1,614 0 05 Jun 2017
Deep Kernel Learning A. Wilson Zhiting Hu Ruslan Salakhutdinov Eric Xing BDL 243 886 0 06 Nov 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.8K 150,115 0 22 Dec 2014
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 261 12,439 0 24 Jun 2012