Search Results for author:
Found 4 papers, 2 papers with code
Learning Abstract Visual Reasoning via Task Decomposition: A Case Study in Raven Progressive Matrices
Learning to perform abstract reasoning often requires decomposing the task in question into intermediate subgoals that are not specified upfront, but need to be autonomously devised by the learner.
Ain't Nobody Got Time For Coding: Structure-Aware Program Synthesis From Natural Language
Program synthesis from natural language (NL) is practical for humans and, once technically feasible, would significantly facilitate software development and revolutionize end-user programming.
Learning to Play Othello with Deep Neural Networks
Achieving superhuman playing level by AlphaGo corroborated the capabilities of convolutional neural architectures (CNNs) for capturing complex spatial patterns.
Distance Metric Ensemble Learning and the Andrews-Curtis Conjecture
A previous empirical analysis of problem structure examined several heuristic measures of search progress and determined that none of them provided any useful guidance for search.
