Taewon Park

2 accepted papers

2024

Attention-based Iterative Decomposition for Tensor Product Representation

ICLR 2024poster

In recent research, Tensor Product Representation (TPR) is applied for the systematic generalization task of deep neural networks by learning the compositional structure of data. However, such prior works show limited performance in discovering and representing the symbolic structure from unseen tes…

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2024

Discrete Dictionary-based Decomposition Layer for Structured Representation Learning

Taewon Park, Hyun-Chul Kim, Minho Lee

NeurIPS 2024poster

Neuro-symbolic neural networks have been extensively studied to integrate symbolic operations with neural networks, thereby improving systematic generalization. Specifically, Tensor Product Representation (TPR) framework enables neural networks to perform differentiable symbolic operations by encodi…

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