使用对比学习做时序表征的经典代表作是2021年IJCAI上发表的TS-TCC(Time-Series representation learning framework via Temporal andContextual Constrasting)。思路非常简洁明了。欢迎刚兴趣的伙伴阅读。 论文:2021 IJCAI | Time-series representation learning via temporal and contextual contrasting 作者:Eldele, Emadeld...
或者是:Time-Series Representation Learning via Temporal and Contextual Contrasting(IJCAI汇报的视频) 或者是:Time-Series Representation Learning via Temporal and Contextual Contrasting(IJCAI汇报的PPT) 或者是:Time-Series Representation Learning via Temporal and Contextual Contrasting(PDF) 或者是:Time-Series Repr...
Learning decent representations from unlabeledtime-series data with temporal dynamics is avery challenging task. In this paper, we pro-pose an unsupervised Time-Series representationlearning framework via Temporal and ContextualContrasting (TS-TCC), to learn time-series repre-sentation from unlabeled data...
或者是:Time-Series Representation Learning via Temporal and Contextual Contrasting(IJCAI汇报的视频) 或者是:Time-Series Representation Learning via Temporal and Contextual Contrasting(IJCAI汇报的PPT) 或者是:Time-Series Representation Learning via Temporal and Contextual Contrasting(PDF) 或者是:Time-Series Repr...
Learning decent representations from unlabeled time-series data with temporal dynamics is a very challenging task. In this paper, we propose an unsupervisedTime-Series representation learning framework viaTemporal andContextualContrasting (TS-TCC), to learn time-series representation from unlabeled data. ...
Dynamic graph representation based on temporal and contextual contrasting. In Proceedings of the 2022 5th International Conference on Algorithms, Computing and Artificial Intelligence. Sanya China: ACM; 2022, p. 1–8. https://doi.org/10.1145/3579654.3579771. Zhang M, Wu S, Gao M, Jiang X, Xu...
[IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting" machine-learning deep-learning time-series eeg transfer-learning representation-learning unsupervised-learning human-activity-recognition temporal epilepsy contextual epileptic-seizures fault-diagnosis contrastive-learning sleep...
By 33 months from the time of discovery, the turnover of competitive versus non-competitive the whale-fall was estimated to have already been on substrates was not the focus of this investigation; the sea floor for 6–12 months, thus the rate and however, contextual measurement of these ...
Contextual Contrasting 我们进一步提出了一个上下文对比模块,旨在学习更有区别的表征。 整体的自我监督损失是两个时间对比损失和上下文对比损失的组合 实验 类似文献: Unsupervised Scalable Representation Learning for Multivariate Time Series(NIPS2019) UNSUPERVISED REPRESENTATION LEARNING FOR TIME SERIES WITH TEMPORAL NEI...
Contextual Mann-KendallIberian PeninsulaIn Portugal and Spain, fire regimes have been significantly altered due to changes in anthropogenic and climatic factors. The development of a fire management strategy should take into account the past trends of fire incidence. We analyse the spatial and temporal...