Contrastive learningdata-driven modelself-supervised learningspatio-temporal predictionweather forecastingWeather forecasting is of great importance for human life and various real-world fields, e.g., traffic prediction, agricultural production, and tourist industry. Existing methods can be roughly divided ...
(CTO-GAN), leveraging the semantic layout as a bridge to synthesize coherent and diverse background contents. To model the contextual correlation between foreground and background contents, we incorporate an object-level contrastive loss to regularize the learning of cross-modal representations of ...
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...
machine-learningdeep-learningtime-serieseegtransfer-learningrepresentation-learningunsupervised-learninghuman-activity-recognitiontemporalepilepsycontextualepileptic-seizuresfault-diagnosiscontrastive-learningsleep-stage-classification UpdatedMar 31, 2024 Python irecsys/CARSKit ...
语言表征学习(Language Representation Learning)。许多先前的研究证明,带有MLM目标的预训练有助于模型学习句法和语义知识(Clark等人,2019)。我们集中在关键的MLM目标,旨在探索如何MLM目标帮助学习情境化表征。 Contrastive-based SSL。除了基于去噪的目标,对比学习是另一种有发展前途的获得自我监督的方法。在基于对比的自我...
33:00 PromptStyle: Controllable Style Transfer for Text-to-Speech with Natural Language Descriptions 1892 37:00 Language-Routing Mixture of Experts for Multilingual and Code-Switching Speech Recognition 2682 27:00 Enhancing the Unified Streaming and Non-streaming Model with Contrastive Learning ...
for a range of downstream tasks on the ATOM3D dataset (such as predicting binding, non-binding residues, small molecule binding, etc.).10GearNet11and ESM-GearNet12trained sequence-structure encoders with a multiview contrastive learning objective and focused primarily on protein-level prediction ...
As (8) illustrates, the contrastive function of restrictive RCs bars them from such constructions. (For most American English speakers, the overt complementizer “that” cannot be used in a non-restrictive RC and therefore unambiguously signals a restrictive RC.) (* indicates unacceptability.) By...
Chen X, Pan J, Jiang K, Li Y, Huang Y, Kong C, Dai L, Fan Z (2022) Unpaired deep image deraining using dual contrastive learning. In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp 2017–2026 Jiang K, Liu W, Wang Z, Zhong X, Jiang J, Lin...
💥💥Update:We extended our method to the semi-supervised settings (CA-TCC). Please refer to the manuscriptSelf-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classificationfor more details.The code is also publicly available. 💥💥 ...