3 papers
cs.LG2024
Privacy Challenges in Meta-Learning: An Investigation on Model-Agnostic Meta-Learning
Mina Rafiei, Mohammadmahdi Maheri, Hamid R. Rabiee
Meta-learning involves multiple learners, each dedicated to specific tasks, collaborating in a data-constrained setting. In current meta-learning methods, task learners locally lea…
cs.IR2023
ClusterSeq: Enhancing Sequential Recommender Systems with Clustering based Meta-Learning
Mohammmadmahdi Maheri, Reza Abdollahzadeh, Bardia Mohammadi +3
In practical scenarios, the effectiveness of sequential recommendation systems is hindered by the user cold-start problem, which arises due to limited interactions for accurately d…
cs.SI2019
News Labeling as Early as Possible: Real or Fake?
Maryam Ramezani, Mina Rafiei, Soroush Omranpour +1
Making disguise between real and fake news propagation through online social networks is an important issue in many applications. The time gap between the news release time and det…