Lyes Khacef

GPU-based Self-Organizing Maps for Post-Labeled Few-Shot Unsupervised\n Learning

2020 · arXiv (Cornell University)

Few-shot classification is a challenge in machine learning where the goal is\nto train a classifier using a very limited number of labeled examples. This\nscenario is likely to occur frequently in real life, for example when …