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However, most of traditional self-supervised methods mainly focus on exploring the inter-sample structure while less efforts have been concentrated on the underlying intra-temporal structure, which is important for time series data. Self-Supervised Time Series Representation Learning by Inter-Intra Relational Reasoning.Ībstract: Self-supervised learning achieves superior performance in many domains by extracting useful representations from the unlabeled data. This repository contains the official PyTorch implementation of: Self-Supervised Time Series Representation Learning by Inter-Intra Relational Reasoning