Learning Representations that Support Extrapolation

9 July 2020

Papers citing "Learning Representations that Support Extrapolation"

10 / 10 papers shown

Title
ARCLE: The Abstraction and Reasoning Corpus Learning Environment for Reinforcement Learning Hosung Lee Sejin Kim Seungpil Lee Sanha Hwang Jihwan Lee Byung-Jun Lee Sundong Kim LRM 41 8 0 30 Jul 2024
A-I-RAVEN and I-RAVEN-Mesh: Two New Benchmarks for Abstract Visual Reasoning Mikołaj Małkiński Jacek Mańdziuk 39 1 0 16 Jun 2024
Learning to reason over visual objects S. S. Mondal Taylor Webb Jonathan D. Cohen OCL 33 29 0 03 Mar 2023
Emergent Analogical Reasoning in Large Language Models Taylor Webb K. Holyoak Hongjing Lu ReLM ELM LRM AI4CE 38 294 0 19 Dec 2022
Functional Indirection Neural Estimator for Better Out-of-distribution Generalization K. Pham Hung Le Man Ngo T. Tran OODD 33 1 0 23 Oct 2022
Zero-shot visual reasoning through probabilistic analogical mapping Taylor Webb Shuhao Fu Trevor Bihl K. Holyoak Hongjing Lu LRM 58 12 0 29 Sep 2022
Deep Learning Methods for Abstract Visual Reasoning: A Survey on Raven's Progressive Matrices Mikolaj Malkiñski Jacek Mańdziuk 125 42 0 28 Jan 2022
To what extent should we trust AI models when they extrapolate? Roozbeh Yousefzadeh Xuenan Cao 37 5 0 27 Jan 2022
Emergent Symbols through Binding in External Memory Taylor Webb I. Sinha Jonathan Cohen 67 65 0 29 Dec 2020
How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks Keyulu Xu Mozhi Zhang Jingling Li S. Du Ken-ichi Kawarabayashi Stefanie Jegelka MLT 30 306 0 24 Sep 2020