https://github.com/IBM/RuDaS
공식 코드RuDaS: Synthetic Datasets for Rule Learning and Evaluation Tools
Papers with Code 아카이브
Inductive logic programming
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/SkBlaz/SGE
공식 코드https://github.com/Zhang-Liao/ilp_coq
공식 코드Learning Rules Explaining Interactive Theorem Proving Tactic Prediction
https://github.com/ZhengyaoJiang/NLRL
공식 코드https://github.com/andrewcropper/aaai20-forgetgol
공식 코드https://github.com/andrewcropper/iggp
공식 코드https://github.com/andrewcropper/mlj19-iggp
공식 코드https://github.com/andrewcropper/mlj19-metaho
공식 코드https://github.com/apayani/ILP
공식 코드Inductive Logic Programming via Differentiable Deep Neural Logic Networks
https://github.com/barthasanyi/metagol_PLS
공식 코드Towards meta-interpretive learning of programming language semantics
https://github.com/bin123apple/autocoder
공식 코드AutoCoder: Enhancing Code Large Language Model with \textsc{AIEV-Instruct}
https://github.com/celinehocquette/aaai24-maxsynth
공식 코드https://github.com/celinehocquette/ijcai24-joiner
공식 코드https://github.com/celinehocquette/ijcai24-stevie
공식 코드Learning logic programs by discovering higher-order abstractions
https://github.com/celinehocquette/ijcai25-relational-decomposition
공식 코드https://github.com/celinehocquette/magicpopper
공식 코드https://github.com/celinehocquette/numsynth-aaai23
공식 코드https://github.com/dancunnington/ffnsl
공식 코드https://github.com/danm11694/ilasp_robotics
공식 코드Inductive Learning of Robot Task Knowledge from Raw Data and Online Expert Feedback
https://github.com/ermine516/dilp2
공식 코드Differentiable Inductive Logic Programming in High-Dimensional Space
https://github.com/ermine516/nopi
공식 코드https://github.com/facebookresearch/clutrr
공식 코드CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text
https://github.com/gblackout/NLIL
공식 코드Learn to Explain Efficiently via Neural Logic Inductive Learning
https://github.com/gblackout/TILR
공식 코드https://github.com/ghazalmilani/one-shot-learning-from-text-iclp2023
공식 코드Towards One-Shot Learning for Text Classification using Inductive Logic Programming
https://github.com/giumaz/pomcp_clingo
공식 코드Learning Logic Specifications for Soft Policy Guidance in POMCP
https://github.com/hkrsnd/dilp-st
공식 코드Differentiable Inductive Logic Programming for Structured Examples
https://github.com/lai1997/sequential-teaching
공식 코드https://github.com/logic-and-learning-lab/aaai22-dcc
공식 코드Learning logic programs through divide, constrain, and conquer
https://github.com/logic-and-learning-lab/aaai23-disco
공식 코드https://github.com/logic-and-learning-lab/ecai23-combo
공식 코드https://github.com/mc-lovin-mlem/concept-embeddings-and-ilp
공식 코드Expressive Explanations of DNNs by Combining Concept Analysis with ILP
https://github.com/metagol/metagol
공식 코드https://github.com/nkatzz/OLED
공식 코드https://github.com/prosysscience/Symmetry_Breaking_with_ILP
공식 코드Lifting Symmetry Breaking Constraints with Inductive Logic Programming
https://github.com/rparac/prob-irm
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.