Towards Generalization in Subitizing with Neuro-Symbolic Loss using Holographic Reduced Representations
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Updated
Jan 1, 2024 - Python
Towards Generalization in Subitizing with Neuro-Symbolic Loss using Holographic Reduced Representations
Hacking a Neural Network to understand what concepts the network learns in order to solve a logic task.
Implementation of the paper: " Experimenting an Approach to Neuro-Symbolic RL"
EmbedPVP: Embedding-based Phenotype Variant Predictor
Research code for heuristically hiding information for inference run on 3rd party systems (ICML 22)
An LLM chatbot augmented by neuro-symbolic rules
The official repository for the PSYCHIC model
Library for hierarchical concept composition and reasoning
A neuro-symbolic reasoner for the EL++ description logic.
A simple compute platform
program synthesis with neuro-symbolic differentiable interpreters
Code for the ICLR 2024 paper "How Realistic Is Your Synthetic Data? Constraining Deep Generative Models for Tabular Data"
Learning Algebraic Representation for Systematic Generalization in Abstract Reasoning
Demo for Neuro-Symbolic Agent (LOA)
Codebase for Neuro-Symbolic Continual Learning.
Holographic Reduced Representations
An efficient Python toolkit for Abductive Learning (ABL), a novel paradigm that integrates machine learning and logical reasoning in a unified framework.
ZeroC is a neuro-symbolic method that trained with elementary visual concepts and relations, can zero-shot recognize and acquire more complex, hierarchical concepts, even across domains
[ACL 2024] The project of Symbol-LLM
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