Program induction
22 papers with code • 0 benchmarks • 1 datasets
Generating program code for domain-specific tasks
Benchmarks
These leaderboards are used to track progress in Program induction
AQUA-RAT
Latest papers with no code
Program-Based Strategy Induction for Reinforcement Learning
Typical models of learning assume incremental estimation of continuously-varying decision variables like expected rewards.
Guided Sketch-Based Program Induction by Search Gradients
Many tasks can be easily solved using machine learning techniques.
LLMs for Relational Reasoning: How Far are We?
Large language models (LLMs) have revolutionized many areas (e. g. natural language processing, software engineering, etc.)
Modeling infant object perception as program induction
Infants expect physical objects to be rigid and persist through space and time and in spite of occlusion.
VisKoP: Visual Knowledge oriented Programming for Interactive Knowledge Base Question Answering
We present Visual Knowledge oriented Programming platform (VisKoP), a knowledge base question answering (KBQA) system that integrates human into the loop to edit and debug the knowledge base (KB) queries.
DreamDecompiler: Bayesian Program Learning by Decompiling Amortised Knowledge
The cost of search is amortised by training a neural search policy, reducing search breadth and effectively "compiling" useful information to compose program solutions across tasks.
Compositional diversity in visual concept learning
In few shot classification tasks, we find that people and the program induction model can make a range of meaningful compositional generalizations, with the model providing a strong account of the experimental data as well as interpretable parameters that reveal human assumptions about the factors invariant to category membership (here, to rotation and changing part attachment).
Neuro-symbolic Meta Reinforcement Learning for Trading
We model short-duration (e. g. day) trading in financial markets as a sequential decision-making problem under uncertainty, with the added complication of continual concept-drift.
Program Transfer for Answering Complex Questions over Knowledge Bases
In this paper, we propose the approach of program transfer, which aims to leverage the valuable program annotations on the rich-resourced KBs as external supervision signals to aid program induction for the low-resourced KBs that lack program annotations.
Unsupervised Visual Program Induction with Function Modularization
Program induction serves as one way to analog the ability of human thinking.
