Modeling Label Space Interactions in Multi-label Classification using Box Embeddings
Published in
International Conference on Learning Representa...(2021)External Links:
TL
TL;DR
This work introduces the multi-label box model (MBM), a multi-label classification method that combines the encoding power of neural networks with the inductive bias of probabilistic box embeddings (Vilnis et al., 2018), which can be understood as trainable Venn-diagrams based on hyper-rectangles.