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Relation-propagation meta-learning on an explicit preference graph for cold-start recommendation
H Liu, L Wang, P Li, C Qian, P Zhao, X Wu - Knowledge-Based Systems, 2023 - Elsevier
The cold-start problem has been of great concern in the recommendation domain. To
address this problem, meta-learning frameworks have been widely adopted due to their fast …
address this problem, meta-learning frameworks have been widely adopted due to their fast …
LaANIL: ANIL with Look-Ahead Meta-Optimization and Data Parallelism
V Tammisetti, K Bierzynski, G Stettinger… - Electronics, 2024 - mdpi.com
Meta-few-shot learning algorithms, such as Model-Agnostic Meta-Learning (MAML) and
Almost No Inner Loop (ANIL), enable machines to learn complex tasks quickly with limited …
Almost No Inner Loop (ANIL), enable machines to learn complex tasks quickly with limited …
Leveraging task variability in meta-learning
Meta-learning (ML) utilizes extracted meta-knowledge from data to enable models to
perform well on unseen data that they have not encountered before. Typically, this meta …
perform well on unseen data that they have not encountered before. Typically, this meta …
Advances in MetaDL: AAAI 2021 challenge and workshop
To stimulate advances in meta-learning using deep learning techniques (MetaDL), we
organized in 2021 a challenge and an associated workshop. This paper presents the design …
organized in 2021 a challenge and an associated workshop. This paper presents the design …
Adaptation: Blessing or Curse for Higher Way Meta-Learning
The prevailing literature typically assesses the effectiveness of meta-learning (ML)
approaches on tasks that involve no more than 20 classes. However, we challenge this …
approaches on tasks that involve no more than 20 classes. However, we challenge this …
Advances in MetaDL
To stimulate advances in metalearning using deep learning techniques (MetaDL), we
organized in 2021 a challenge and an associated workshop. This paper presents the design …
organized in 2021 a challenge and an associated workshop. This paper presents the design …