Yujun-Yan / Neural-Execution-Engines
Code for Neural Execution Engines: Learning to Execute Subroutines
☆17Updated 4 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
- ☆22Updated 3 years ago
- ZeroC is a neuro-symbolic method that trained with elementary visual concepts and relations, can zero-shot recognize and acquire more com…☆31Updated last year
- Code for gradient rollback, which explains predictions of neural matrix factorization models, as for example used for knowledge base comp…☆21Updated 4 years ago
- Conditional Theorem Proving☆53Updated 3 years ago
- Offcial Repo of Paper "Eliminating Position Bias of Language Models: A Mechanistic Approach""☆14Updated 7 months ago
- Neural Logic Inductive Learning☆42Updated 2 years ago
- ☆45Updated 4 years ago
- ☆34Updated 3 months ago
- Group-conditional DRO to alleviate spurious correlations☆15Updated 3 years ago
- ☆39Updated 2 years ago
- "Do We Need Anisotropic Graph Neural Networks?" at ICLR 2022☆32Updated 3 years ago
- A Kernel-Based View of Language Model Fine-Tuning https://arxiv.org/abs/2210.05643☆75Updated last year
- PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020☆17Updated 3 years ago
- G2SAT: Learning to Generate SAT Formulas☆50Updated 4 years ago
- MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".☆18Updated last year
- ☆29Updated 2 years ago
- Code for Accelerated Linearized Laplace Approximation for Bayesian Deep Learning (ELLA, NeurIPS 22')☆16Updated 2 years ago
- How to Turn Your Knowledge Graph Embeddings into Generative Models☆51Updated 9 months ago
- This repository contains some of the code used in the paper "Training Language Models with Langauge Feedback at Scale"☆27Updated 2 years ago
- Implementation of ICML 22 Paper: Scaling Structured Inference with Randomization☆14Updated 2 years ago
- NeurIPS'22 Oral: EquiVSet - Learning Neural Set Functions Under the Optimal Subset Oracle☆19Updated 2 years ago
- ☆34Updated 4 months ago
- ☆25Updated 2 years ago
- The Energy Transformer block, in JAX☆57Updated last year
- A simple Jax implementation of influence functions.☆16Updated last year
- ☆12Updated 5 years ago
- Extending the Neural Graph Algorithm Executor☆13Updated 2 years ago
- ☆65Updated 8 months ago
- Official code for "In Search of Robust Measures of Generalization" (NeurIPS 2020)☆28Updated 4 years ago
- Code for Residual Energy-Based Models for Text Generation in PyTorch.☆23Updated 3 years ago