Best paper ICML 2019
Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations
Locatello et al.: https://arxiv.org/pdf/1811.12359.pdf
#deeplearning #disentangledrepresentations #unsupervisedlearning
Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations
Locatello et al.: https://arxiv.org/pdf/1811.12359.pdf
#deeplearning #disentangledrepresentations #unsupervisedlearning
Theory and Evaluation Metrics for Learning Disentangled Representations
Kien Do, Truyen Tran : https://arxiv.org/abs/1908.09961
#DeepLearning #DisentangledRepresentations #MachineLearning
Kien Do, Truyen Tran : https://arxiv.org/abs/1908.09961
#DeepLearning #DisentangledRepresentations #MachineLearning
arXiv.org
Theory and Evaluation Metrics for Learning Disentangled Representations
We make two theoretical contributions to disentanglement learning by (a) defining precise semantics of disentangled representations, and (b) establishing robust metrics for evaluation. First, we...