2017
Learning Continuous Semantic Representations of Symbolic Expressions
ICLR 2017workshop
The question of how procedural knowledge is represented and inferred is a fundamental problem in machine learning and artificial intelligence. Recent work on program induction has proposed neural architectures, based on abstractions like stacks, Turing machines, and interpreters, that operate on ab…