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Found 7 papers, 0 papers with code
DTCM: Deep Transformer Capsule Mutual Distillation for Multivariate Time Series Classification
This article proposes a dual-network-based feature extractor, perceptive capsule network (PCapN), for multivariate time series classification (MTSC), including a local feature network (LFN) and a global relation network (GRN).
Rethinking Attention Mechanism in Time Series Classification
Attention-based models have been widely used in many areas, such as computer vision and natural language processing.
Evolutionary Multi-Objective Reinforcement Learning Based Trajectory Control and Task Offloading in UAV-Assisted Mobile Edge Computing
This paper adapts the evolutionary multi-objective RL (EMORL), a multi-policy multi-objective RL, to the TCTO problem.
An Efficient Federated Distillation Learning System for Multi-task Time Series Classification
For each connected user, its student model's hidden layers' weights are uploaded to the EFDLS server periodically.
RTFN: A Robust Temporal Feature Network for Time Series Classification
Most of the existing feature networks pay more attention to local features rather than the relationships among them.
RTFN: Robust Temporal Feature Network
The temporal feature networks are built to extract basic features from input data while the attentional LSTM networks are devised to capture complicated shapelets and relationships to enrich features.
STDPG: A Spatio-Temporal Deterministic Policy Gradient Agent for Dynamic Routing in SDN
Dynamic routing in software-defined networking (SDN) can be viewed as a centralized decision-making problem.
