2 ms·

Great, and the implementation (Neuro-vector-symbolic architectures): https://github.com/IBM/neuro-vector-symbolic-architectures https://github.com/IBM/neuro-ve

• westurner 4y ago
  "A Neuro-vector-symbolic Architecture for Solving Raven's Progressive Matrices" (2023) https://arxiv.org/abs/2203.04571 https://arxiv.org/abs/2203.04571 : > […] our proposed neuro-vector-symbolic architecture (NVSA) [implements] powerful operators on high-dimensional distributed representations that serve as a common language between neural networks and symbolic AI. The efficacy of NVSA is demonstrated by solving the Raven's progressive matrices datasets. Compared to state-of-the-art deep neural network and neuro-symbolic approaches, end-to-end training of NVSA achieves a new record of 87.7% average accuracy in RAVEN, and 88.1% in I-RAVEN datasets. Moreover, compared to the symbolic reasoning within the neuro-symbolic approaches, the probabilistic reasoning of NVSA with less expensive operations on the distributed representations is two orders of magnitude faster.