Yujun-Yan / Neural-Execution-EnginesLinks
Code for Neural Execution Engines: Learning to Execute Subroutines
☆18Updated 5 years ago
Alternatives and similar repositories for Neural-Execution-Engines
Users that are interested in Neural-Execution-Engines are comparing it to the libraries listed below
Sorting:
- Neural Logic Inductive Learning☆44Updated 3 years ago
- Extending the Neural Graph Algorithm Executor☆13Updated 3 years ago
- ☆22Updated 4 years ago
- ☆44Updated 5 years ago
- G2SAT: Learning to Generate SAT Formulas☆49Updated 5 years ago
- Conditional Theorem Proving☆54Updated 4 years ago
- Code for gradient rollback, which explains predictions of neural matrix factorization models, as for example used for knowledge base comp…☆21Updated 4 years ago
- Official repository for the paper "Going Beyond Linear Transformers with Recurrent Fast Weight Programmers" (NeurIPS 2021)☆51Updated 8 months ago
- Code for Residual Energy-Based Models for Text Generation in PyTorch.☆26Updated 4 years ago
- ZeroC is a neuro-symbolic method that trained with elementary visual concepts and relations, can zero-shot recognize and acquire more com…☆33Updated 2 years ago
- Group-conditional DRO to alleviate spurious correlations☆15Updated 4 years ago
- ☆54Updated 3 years ago
- ☆65Updated last year
- ☆29Updated 3 years ago
- ☆38Updated 3 years ago
- Experiments and code to generate the GINC small-scale in-context learning dataset from "An Explanation for In-context Learning as Implici…☆105Updated 2 years ago
- SetToGraph paper repository☆22Updated 5 years ago
- A curated paper list on neural symbolic and probabilistic logic.☆134Updated 2 years ago
- Logic Explained Networks is a python repository implementing explainable-by-design deep learning models.☆53Updated 2 years ago
- EMNLP 2020: On the Ability and Limitations of Transformers to Recognize Formal Languages☆24Updated 5 years ago
- ☆11Updated 2 years ago
- ☆36Updated last year
- Code for the paper "SizeShiftReg: a Regularization Method for Improving Size-Generalization in Graph Neural Networks"☆12Updated 3 years ago
- "Do We Need Anisotropic Graph Neural Networks?" at ICLR 2022☆33Updated 3 years ago
- The official repository for our paper "Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks". We…☆46Updated 2 years ago
- ☆50Updated 4 years ago
- The official repository for our paper "The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers". We s…☆67Updated 3 years ago
- Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"☆87Updated 2 years ago
- [NeurIPS 2023] Learning Transformer Programs☆162Updated last year
- A Kernel-Based View of Language Model Fine-Tuning https://arxiv.org/abs/2210.05643☆78Updated 2 years ago