thuwzy / Neural-Symbolic-and-Probabilistic-Logic-PapersLinks
A curated paper list on neural symbolic and probabilistic logic.
☆128Updated last year
Alternatives and similar repositories for Neural-Symbolic-and-Probabilistic-Logic-Papers
Users that are interested in Neural-Symbolic-and-Probabilistic-Logic-Papers are comparing it to the libraries listed below
Sorting:
- Neural Logic Inductive Learning☆44Updated 3 years ago
- ☆34Updated last year
- ZeroC is a neuro-symbolic method that trained with elementary visual concepts and relations, can zero-shot recognize and acquire more com…☆32Updated 2 years ago
- Codebase for the paper: Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts☆21Updated last year
- Recent Papers including Neural Symbolic Reasoning, Logical Reasoning, Visual Reasoning, planning and any other topics connecting deep lea…☆314Updated 3 years ago
- ☆13Updated 2 years ago
- Neuro-Symbolic Hierarchical Rule Induction☆14Updated 2 years ago
- ☆54Updated 2 years ago
- Experiments and code to generate the GINC small-scale in-context learning dataset from "An Explanation for In-context Learning as Implici…☆108Updated last year
- A collection of papers of neural-symbolic AI (mainly focus on NLP applications)☆281Updated last year
- ☆84Updated last year
- PyTorch implementation of Logic Tensor Networks, a Neural-Symbolic framework.☆122Updated 10 months ago
- The official repository for our paper "Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks". We…☆46Updated last year
- Code for Neural Execution Engines: Learning to Execute Subroutines☆17Updated 4 years ago
- ☆47Updated last year
- ☆35Updated 8 months ago
- Python notebooks for a tutorial on neurosymbolic programming☆77Updated last year
- ☆13Updated last year
- Offical code of the paper Large Language Models Are Implicitly Topic Models: Explaining and Finding Good Demonstrations for In-Context Le …☆75Updated last year
- ☆46Updated 2 years ago
- A curated list of papers related to program synthesis, program induction, program execution, program and code repair, and programmatic re…☆168Updated 3 years ago
- ☆65Updated last year
- maze datasets for investigating OOD behavior of ML systems☆54Updated last week
- ☆54Updated 9 months ago
- Official repository for our paper, Transformers Learn Higher-Order Optimization Methods for In-Context Learning: A Study with Linear Mode…☆18Updated 9 months ago
- Code for LaMPP: Language Models as Probabilistic Priors for Perception and Action☆37Updated 2 years ago
- We develop benchmarks and analysis tools to evaluate the causal reasoning abilities of LLMs.☆124Updated last year
- ☆56Updated 3 months ago
- Neural-Grammar-Symbolic Learning with Back-Search☆54Updated last year
- Crawl & Visualize ICLR 2023 Data from OpenReview☆84Updated 2 years ago