2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.LG2024★ 2 cited
Unveiling the Flaws: A Critical Analysis of Initialization Effect on Time Series Anomaly Detection
Alex Koran, Hadi Hojjati, Narges Armanfard
Deep learning for time-series anomaly detection (TSAD) has gained significant attention over the past decade. Despite the reported improvements in several papers, the practical app…
cs.LG2024★ 1 cited
Deep Clustering with Self-Supervision using Pairwise Similarities
Mohammadreza Sadeghi, Narges Armanfard
Deep clustering incorporates embedding into clustering to find a lower-dimensional space appropriate for clustering. In this paper, we propose a novel deep clustering framework wit…
cs.CV2022
Attentive Task Interaction Network for Multi-Task Learning
Dimitrios Sinodinos, Narges Armanfard
Multitask learning (MTL) has recently gained a lot of popularity as a learning paradigm that can lead to improved per-task performance while also using fewer per-task model paramet…