论文标题
关于使用半义务的关系知识的VAE嵌入性的可转移性
On the Transferability of VAE Embeddings using Relational Knowledge with Semi-Supervision
论文作者
论文摘要
我们提出了一个新的模型，用于关系半衰期，能够平衡分离和低复杂性与不同符号特性的复杂性建模。我们比较了关系 - 编码器复杂性和潜在空间结构的相对好处在电感和跨传输学习中。我们的结果描述了一幅复杂的图片，在半监督表示上的强制结构可以大大改善零射击的转导性转移，但可能不太有利，甚至对电感传递的能力产生负面影响。
We propose a new model for relational VAE semi-supervision capable of balancing disentanglement and low complexity modelling of relations with different symbolic properties. We compare the relative benefits of relation-decoder complexity and latent space structure on both inductive and transductive transfer learning. Our results depict a complex picture where enforcing structure on semi-supervised representations can greatly improve zero-shot transductive transfer, but may be less favourable or even impact negatively the capacity for inductive transfer.
