14 citations · 15 across the 3 of their papers we have counts for
3 papers
cs.LG2023★ 14 cited
Unsupervised Representation Learning for Time Series: A Review
Qianwen Meng, Hangwei Qian, Yong Liu +3
Unsupervised representation learning approaches aim to learn discriminative feature representations from unlabeled data, without the requirement of annotating every sample. Enablin…
cs.LG2023
Model-Contrastive Federated Domain Adaptation
Chang'an Yi, Haotian Chen, Yonghui Xu +1
Federated domain adaptation (FDA) aims to collaboratively transfer knowledge from source clients (domains) to the related but different target client, without communicating the loc…
cs.LG2023★ 1 cited
Dual Graph Multitask Framework for Imbalanced Delivery Time Estimation
Lei Zhang, Mingliang Wang, Xin Zhou +5
Delivery Time Estimation (DTE) is a crucial component of the e-commerce supply chain that predicts delivery time based on merchant information, sending address, receiving address,…