arXiv:1810.01190
Inference Over Programs That Make Predictions
원문 초록
This abstract extends on the previous work (arXiv:1407.2646, arXiv:1606.00075) on program induction using probabilistic programming. It describes possible further steps to extend that work, such that, ultimately, automatic probabilistic program synthesis can generalise over any reasonable set of inputs and outputs, in particular in regard to text, image and video data.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
Searching Latent Program Spaces
Bayesian Program Learning by Decompiling Amortized Knowledge
CLEVER: A Curated Benchmark for Formally Verified Code Generation
Transductively Informed Inductive Program Synthesis
PoE-World: Compositional World Modeling with Products of Programmatic Experts
Enhancing Code Generation via Bidirectional Comment-Level Mutual Grounding
토론
이 논문과 연결된 포럼 글이 아직 없습니다.