Artificial neural networks (ANNs) are essential tools in machine learning that have drawn increasing attention in neuroscience. Besides offering powerful techniques for data analysis …
The field of meta-learning, or learning-to-learn, has seen a dramatic rise in interest in recent years. Contrary to conventional approaches to AI where tasks are solved from scratch using …
In this paper, we address the few-shot classification task from a new perspective of optimal matching between image regions. We adopt the Earth Mover's Distance (EMD) as a metric to …
HJ Ye, H Hu, DC Zhan, F Sha - Proceedings of the IEEE …, 2020 - openaccess.thecvf.com
Learning with limited data is a key challenge for visual recognition. Many few-shot learning methods address this challenge by learning an instance embedding function from seen …
E Real, C Liang, D So, Q Le - International conference on …, 2020 - proceedings.mlr.press
Abstract Machine learning research has advanced in multiple aspects, including model structures and learning methods. The effort to automate such research, known as AutoML …
K Javed, M White - Advances in neural information …, 2019 - proceedings.neurips.cc
The reviews had two major concerns: lack of a benchmarking on a complex dataset, and unclear writing. To address these two major issues we: 1-Rewrote experiments section with …
M Zhang, H Marklund, N Dhawan… - Advances in …, 2021 - proceedings.neurips.cc
A fundamental assumption of most machine learning algorithms is that the training and test data are drawn from the same underlying distribution. However, this assumption is violated …
Learning an efficient update rule from data that promotes rapid learning of new tasks from the same distribution remains an open problem in meta-learning. Typically, previous works …
A Fallah, A Mokhtari… - … Conference on Artificial …, 2020 - proceedings.mlr.press
We study the convergence of a class of gradient-based Model-Agnostic Meta-Learning (MAML) methods and characterize their overall complexity as well as their best achievable …