Contrast All the Time: Learning Time Series Representation from Temporal Consistency
Fuente:
arXiv
Guardado en:
| Autores principales: | Shamba, Abdul-Kazeem, Bach, Kerstin, Taylor, Gavin |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Divide and Contrast: Learning Robust Temporal Features without Augmentation
por: Shamba, Abdul-Kazeem, et al.
Publicado: (2026)
por: Shamba, Abdul-Kazeem, et al.
Publicado: (2026)
eMargin: Revisiting Contrastive Learning with Margin-Based Separation
por: Shamba, Abdul-Kazeem, et al.
Publicado: (2025)
por: Shamba, Abdul-Kazeem, et al.
Publicado: (2025)
Towards Generating Realistic Underwater Images
por: Shamba, Abdul-Kazeem
Publicado: (2025)
por: Shamba, Abdul-Kazeem
Publicado: (2025)
Time Series Representation Learning with Supervised Contrastive Temporal Transformer
por: Liu, Yuansan, et al.
Publicado: (2024)
por: Liu, Yuansan, et al.
Publicado: (2024)
Simple Contrastive Representation Learning for Time Series Forecasting
por: Zheng, Xiaochen, et al.
Publicado: (2023)
por: Zheng, Xiaochen, et al.
Publicado: (2023)
StatioCL: Contrastive Learning for Time Series via Non-Stationary and Temporal Contrast
por: Wu, Yu, et al.
Publicado: (2024)
por: Wu, Yu, et al.
Publicado: (2024)
Disentangled Mode-Specific Representations for Tensor Time Series via Contrastive Learning
por: Obata, Kohei, et al.
Publicado: (2026)
por: Obata, Kohei, et al.
Publicado: (2026)
TFEC: Multivariate Time-Series Clustering via Temporal-Frequency Enhanced Contrastive Learning
por: Tan, Zexi, et al.
Publicado: (2026)
por: Tan, Zexi, et al.
Publicado: (2026)
Contrastive Learning Is Not Optimal for Quasiperiodic Time Series
por: Atienza, Adrian, et al.
Publicado: (2024)
por: Atienza, Adrian, et al.
Publicado: (2024)
Parametric Augmentation for Time Series Contrastive Learning
por: Zheng, Xu, et al.
Publicado: (2024)
por: Zheng, Xu, et al.
Publicado: (2024)
Soft Contrastive Learning for Time Series
por: Lee, Seunghan, et al.
Publicado: (2023)
por: Lee, Seunghan, et al.
Publicado: (2023)
Symbol-Temporal Consistency Self-supervised Learning for Robust Time Series Classification
por: Garcia, Kevin, et al.
Publicado: (2025)
por: Garcia, Kevin, et al.
Publicado: (2025)
MobiCLR: Mobility Time Series Contrastive Learning for Urban Region Representations
por: Kim, Namwoo, et al.
Publicado: (2025)
por: Kim, Namwoo, et al.
Publicado: (2025)
CARLA: Self-supervised Contrastive Representation Learning for Time Series Anomaly Detection
por: Darban, Zahra Zamanzadeh, et al.
Publicado: (2023)
por: Darban, Zahra Zamanzadeh, et al.
Publicado: (2023)
Rank Supervised Contrastive Learning for Time Series Classification
por: Ren, Qianying, et al.
Publicado: (2024)
por: Ren, Qianying, et al.
Publicado: (2024)
Automated Contrastive Learning Strategy Search for Time Series
por: Jing, Baoyu, et al.
Publicado: (2024)
por: Jing, Baoyu, et al.
Publicado: (2024)
Event-Based Contrastive Learning for Medical Time Series
por: Jeong, Hyewon, et al.
Publicado: (2023)
por: Jeong, Hyewon, et al.
Publicado: (2023)
AimTS: Augmented Series and Image Contrastive Learning for Time Series Classification
por: Chen, Yuxuan, et al.
Publicado: (2025)
por: Chen, Yuxuan, et al.
Publicado: (2025)
A Representation-Consistent Gated Recurrent Framework for Robust Medical Time-Series Classification
por: Sai, Maitri Krishna
Publicado: (2026)
por: Sai, Maitri Krishna
Publicado: (2026)
Frequency-Masked Embedding Inference: A Non-Contrastive Approach for Time Series Representation Learning
por: Fu, En, et al.
Publicado: (2024)
por: Fu, En, et al.
Publicado: (2024)
Contrastive Learning of Asset Embeddings from Financial Time Series
por: Dolphin, Rian, et al.
Publicado: (2024)
por: Dolphin, Rian, et al.
Publicado: (2024)
From Prototypes to Sparse ECG Explanations: SHAP-Driven Counterfactuals for Multivariate Time-Series Multi-class Classification
por: Mozolewski, Maciej, et al.
Publicado: (2025)
por: Mozolewski, Maciej, et al.
Publicado: (2025)
TimeDRL: Disentangled Representation Learning for Multivariate Time-Series
por: Chang, Ching, et al.
Publicado: (2023)
por: Chang, Ching, et al.
Publicado: (2023)
T-Rep: Representation Learning for Time Series using Time-Embeddings
por: Fraikin, Archibald, et al.
Publicado: (2023)
por: Fraikin, Archibald, et al.
Publicado: (2023)
Denoising-Aware Contrastive Learning for Noisy Time Series
por: Zhou, Shuang, et al.
Publicado: (2024)
por: Zhou, Shuang, et al.
Publicado: (2024)
TopoCL: Topological Contrastive Learning for Time Series
por: Kim, Namwoo, et al.
Publicado: (2025)
por: Kim, Namwoo, et al.
Publicado: (2025)
TSLANet: Rethinking Transformers for Time Series Representation Learning
por: Eldele, Emadeldeen, et al.
Publicado: (2024)
por: Eldele, Emadeldeen, et al.
Publicado: (2024)
Learning Hyperspherical Time-Frequency Representations for Time-Series Out-of-Distribution Detection
por: Lunardi, Willian T., et al.
Publicado: (2026)
por: Lunardi, Willian T., et al.
Publicado: (2026)
TimeCSL: Unsupervised Contrastive Learning of General Shapelets for Explorable Time Series Analysis
por: Liang, Zhiyu, et al.
Publicado: (2024)
por: Liang, Zhiyu, et al.
Publicado: (2024)
Multi-Modal Contrastive Learning for Online Clinical Time-Series Applications
por: Baldenweg, Fabian, et al.
Publicado: (2024)
por: Baldenweg, Fabian, et al.
Publicado: (2024)
Semi-Supervised End-To-End Contrastive Learning For Time Series Classification
por: Cai, Huili, et al.
Publicado: (2023)
por: Cai, Huili, et al.
Publicado: (2023)
FaCTR: Factorized Channel-Temporal Representation Transformers for Efficient Time Series Forecasting
por: Vijay, Yash, et al.
Publicado: (2025)
por: Vijay, Yash, et al.
Publicado: (2025)
DConAD: A Differencing-based Contrastive Representation Learning Framework for Time Series Anomaly Detection
por: Zhang, Wenxin, et al.
Publicado: (2025)
por: Zhang, Wenxin, et al.
Publicado: (2025)
Forecasting Automotive Supply Chain Shortfalls with Heterogeneous Time Series
por: Do, Bach Viet, et al.
Publicado: (2024)
por: Do, Bach Viet, et al.
Publicado: (2024)
Contrastive Time Series Forecasting with Anomalies
por: Ekstrand, Joel, et al.
Publicado: (2025)
por: Ekstrand, Joel, et al.
Publicado: (2025)
Label-efficient Time Series Representation Learning: A Review
por: Eldele, Emadeldeen, et al.
Publicado: (2023)
por: Eldele, Emadeldeen, et al.
Publicado: (2023)
Guidelines for Augmentation Selection in Contrastive Learning for Time Series Classification
por: Liu, Ziyu, et al.
Publicado: (2024)
por: Liu, Ziyu, et al.
Publicado: (2024)
Probabilistic Learning of Multivariate Time Series with Temporal Irregularity
por: Li, Yijun, et al.
Publicado: (2023)
por: Li, Yijun, et al.
Publicado: (2023)
Weighted Contrastive Learning for Anomaly-Aware Time-Series Forecasting
por: Ekstrand, Joel, et al.
Publicado: (2025)
por: Ekstrand, Joel, et al.
Publicado: (2025)
LEAVES: Learning Views for Time-Series Biobehavioral Data in Contrastive Learning
por: Yu, Han, et al.
Publicado: (2022)
por: Yu, Han, et al.
Publicado: (2022)
Ejemplares similares
-
Divide and Contrast: Learning Robust Temporal Features without Augmentation
por: Shamba, Abdul-Kazeem, et al.
Publicado: (2026) -
eMargin: Revisiting Contrastive Learning with Margin-Based Separation
por: Shamba, Abdul-Kazeem, et al.
Publicado: (2025) -
Towards Generating Realistic Underwater Images
por: Shamba, Abdul-Kazeem
Publicado: (2025) -
Time Series Representation Learning with Supervised Contrastive Temporal Transformer
por: Liu, Yuansan, et al.
Publicado: (2024) -
Simple Contrastive Representation Learning for Time Series Forecasting
por: Zheng, Xiaochen, et al.
Publicado: (2023)