Metric Learning

By Aurélien Bellet, Amaury Habrard, Marc Sebban. 2015

196 citations recorded by the source corpus.

Subfields: Control and Systems Engineering

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Gary D. Bader
2. Osvald Nitski
3. Bo Wang
4. John Giorgi
5. Niklas Muennighoff
6. Michael E. Cusick
7. Natasa Przulj
8. Luyu Gao

Citations in the corpus

• Gossip Dual Averaging for Decentralized Optimization of Pairwise Functions (2016, neutral): “…applications in statistics and machine learning, e.g., Area Under the ROC Curve (AUC) maximization (Zhao et al., 2011), distance/similarity learning (Bellet et al., 2015), ranking (Cl´emenc¸on et al., 2008), supervised graph inference (Biau & Bleakley, 2006) and multiple kernel learning (Kumar et…”
• DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations (2020, methodology): “We used the NT-Xent loss function implemented by the PyTorch Metric Learning library (Musgrave et al., 2019) and the pretrained transformer architecture and weights from the Transformers library (Wolf et al., 2020).”