3 citations · 6 across the 2 of their papers we have counts for
2 papers
cs.CV2021★ 3 cited
Compositional Fine-Grained Low-Shot Learning
Dat Huynh, Ehsan Elhamifar
We develop a novel compositional generative model for zero- and few-shot learning to recognize fine-grained classes with a few or no training samples. Our key observation is that g…
cs.LG2020★ 3 cited
Weighting Is Worth the Wait: Bayesian Optimization with Importance Sampling
Setareh Ariafar, Zelda Mariet, Ehsan Elhamifar +3
Many contemporary machine learning models require extensive tuning of hyperparameters to perform well. A variety of methods, such as Bayesian optimization, have been developed to a…