Robuta

https://openreview.net/forum?id=rJoZ1i3_l Semi-supervised deep learning by metric embedding | OpenReview Deep networks are successfully used as classification models yielding state-of-the-art results when trained on a large number of labeled samples. These models,... deep learning metric embedding semi supervised openreview https://arxiv.org/abs/2003.02546 [2003.02546] Embedding Expansion: Augmentation in Embedding Space for Deep Metric Learning Abstract page for arXiv paper 2003.02546: Embedding Expansion: Augmentation in Embedding Space for Deep Metric Learning in space deep metric 2003 embedding expansion https://arxiv.org/abs/2003.02546v3 [2003.02546v3] Embedding Expansion: Augmentation in Embedding Space for Deep Metric Learning Abstract page for arXiv paper 2003.02546v3: Embedding Expansion: Augmentation in Embedding Space for Deep Metric Learning in space deep metric 2003 embedding expansion https://easychair.org/publications/preprint/TlTb Metric Learning with Feature Embedding for Segmentation Quality Evaluation metric learning feature embedding segmentation quality https://openreview.net/forum?id=T7kquivfZC Tight and fast generalization error bound of graph embedding in metric space | OpenReview Recent studies have experimentally shown that we can achieve in non-Euclidean metric space effective and efficient graph embedding, which aims to obtain the...