Theory-based Causal Transfer: Integrating Instance-level Induction and
Abstract-level Structure Learning

Theory-based Causal Transfer: Integrating Instance-level Induction and Abstract-level Structure Learning

25 November 2019

Xiaojian Ma

Papers citing "Theory-based Causal Transfer: Integrating Instance-level Induction and Abstract-level Structure Learning"

5 / 5 papers shown

Title
Gap Minimization for Knowledge Sharing and Transfer Boyu Wang Jorge Armando Mendez Mendez Changjian Shui Fan Zhou Di Wu Gezheng Xu Christian Gagné Eric Eaton 48 10 0 26 Jan 2022
Using Human-Guided Causal Knowledge for More Generalized Robot Task Planning Semir Tatlidil Yanqi Liu Emily Sheetz R. I. Bahar Steven Sloman Brown University 26 0 0 09 Oct 2021
Abstract Spatial-Temporal Reasoning via Probabilistic Abduction and Execution Chi Zhang Baoxiong Jia Song-Chun Zhu Yixin Zhu 35 71 0 26 Mar 2021
Machine Number Sense: A Dataset of Visual Arithmetic Problems for Abstract and Relational Reasoning Wenhe Zhang Chi Zhang Yixin Zhu Song-Chun Zhu AIMat 27 26 0 25 Apr 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 626 11,762 0 09 Mar 2017