8 citations · 8 across the 3 of their papers we have counts for
3 papers
BQ-NCO: Bisimulation Quotienting for Efficient Neural Combinatorial Optimization
Darko Drakulic, Sofia Michel, Florian Mai +2
Despite the success of neural-based combinatorial optimization methods for end-to-end heuristic learning, out-of-distribution generalization remains a challenge. In this paper, we…
Simple and Effective Balance of Contrastive Losses
Arnaud Sors, Rafael Sampaio de Rezende, Sarah Ibrahimi +1
Contrastive losses have long been a key ingredient of deep metric learning and are now becoming more popular due to the success of self-supervised learning. Recent research has sho…
Learning with Label Noise for Image Retrieval by Selecting Interactions
Sarah Ibrahimi, Arnaud Sors, Rafael Sampaio de Rezende +1
Learning with noisy labels is an active research area for image classification. However, the effect of noisy labels on image retrieval has been less studied. In this work, we propo…