Cover Image

Rank Supervised Contrastive Learning for Time Series Classification

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ren, Qianying, Luo, Dongsheng, Song, Dongjin
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Parametric Augmentation for Time Series Contrastive Learning
by: Zheng, Xu, et al.
Published: (2024)

Semi-Supervised End-To-End Contrastive Learning For Time Series Classification
by: Cai, Huili, et al.
Published: (2023)

Automated Contrastive Learning Strategy Search for Time Series
by: Jing, Baoyu, et al.
Published: (2024)

Adaptive von Mises-Fisher Likelihood Loss for Supervised Deep Time Series Hashing
by: Perez, Juan Manuel, et al.
Published: (2025)

SVTime: Small Time Series Forecasting Models Informed by "Physics" of Large Vision Model Forecasters
by: Shen, ChengAo, et al.
Published: (2025)

Harnessing Vision Models for Time Series Analysis: A Survey
by: Ni, Jingchao, et al.
Published: (2025)

AimTS: Augmented Series and Image Contrastive Learning for Time Series Classification
by: Chen, Yuxuan, et al.
Published: (2025)

Time Series Representation Learning with Supervised Contrastive Temporal Transformer
by: Liu, Yuansan, et al.
Published: (2024)

Self-Supervised Learning for Time Series: Contrastive or Generative?
by: Liu, Ziyu, et al.
Published: (2024)

Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects
by: Zhang, Kexin, et al.
Published: (2023)

Guidelines for Augmentation Selection in Contrastive Learning for Time Series Classification
by: Liu, Ziyu, et al.
Published: (2024)

$\textbf{S}^2$IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting
by: Pan, Zijie, et al.
Published: (2024)

Graph-Aware Contrasting for Multivariate Time-Series Classification
by: Wang, Yucheng, et al.
Published: (2023)

MMFNet: Multi-Scale Frequency Masking Neural Network for Multivariate Time Series Forecasting
by: Ma, Aitian, et al.
Published: (2024)

Explaining Time Series via Contrastive and Locally Sparse Perturbations
by: Liu, Zichuan, et al.
Published: (2024)

MixLinear: Extreme Low Resource Multivariate Time Series Forecasting with 0.1K Parameters
by: Ma, Aitian, et al.
Published: (2024)

Towards Interpretable and Trustworthy Time Series Reasoning: A BlueSky Vision
by: Ning, Kanghui, et al.
Published: (2025)

TimeX++: Learning Time-Series Explanations with Information Bottleneck
by: Liu, Zichuan, et al.
Published: (2024)

Distillation Enhanced Time Series Forecasting Network with Momentum Contrastive Learning
by: Gao, Haozhi, et al.
Published: (2024)

Structural Knowledge Informed Continual Multivariate Time Series Forecasting
by: Pan, Zijie, et al.
Published: (2024)

TimeXL: Explainable Multi-modal Time Series Prediction with LLM-in-the-Loop
by: Jiang, Yushan, et al.
Published: (2025)

Empowering Time Series Analysis with Large Language Models: A Survey
by: Jiang, Yushan, et al.
Published: (2024)

Learning Feature Encoder with Synthetic Anomalies for Weakly Supervised Graph Anomaly Detection
by: Zhou, Yingjie, et al.
Published: (2026)

Contrastive Learning Is Not Optimal for Quasiperiodic Time Series
by: Atienza, Adrian, et al.
Published: (2024)

Self-Supervised Contrastive Learning is Approximately Supervised Contrastive Learning
by: Luthra, Achleshwar, et al.
Published: (2025)

Learning Soft Sparse Shapes for Efficient Time-Series Classification
by: Liu, Zhen, et al.
Published: (2025)

Foundation Models for Time Series Analysis: A Tutorial and Survey
by: Liang, Yuxuan, et al.
Published: (2024)

A Unified Contrastive-Generative Framework for Time Series Classification
by: Liu, Ziyu, et al.
Published: (2025)

Soft Contrastive Learning for Time Series
by: Lee, Seunghan, et al.
Published: (2023)

ContiFormer: Continuous-Time Transformer for Irregular Time Series Modeling
by: Chen, Yuqi, et al.
Published: (2024)

Simple Contrastive Representation Learning for Time Series Forecasting
by: Zheng, Xiaochen, et al.
Published: (2023)

Event-Based Contrastive Learning for Medical Time Series
by: Jeong, Hyewon, et al.
Published: (2023)

Contrast to Detect: Dynamic Graph Contrastive Regularization for Unsupervised Anomaly Detection in Multivariate Time Series
by: Pei, Yunhua, et al.
Published: (2026)

Contrastive Learning for Semi-Supervised Deep Regression with Generalized Ordinal Rankings from Spectral Seriation
by: Wang, Ce, et al.
Published: (2025)

The Multiverse of Time Series Machine Learning: an Archive for Multivariate Time Series Classification
by: Middlehurst, Matthew, et al.
Published: (2026)

Empowering Power Outage Prediction with Spatially Aware Hybrid Graph Neural Networks and Contrastive Learning
by: Shen, Xuyang, et al.
Published: (2026)

StatioCL: Contrastive Learning for Time Series via Non-Stationary and Temporal Contrast
by: Wu, Yu, et al.
Published: (2024)

Multi-modal Time Series Analysis: A Tutorial and Survey
by: Jiang, Yushan, et al.
Published: (2025)

FTSCommDetector: Discovering Behavioral Communities through Temporal Synchronization
by: Luo, Tianyang, et al.
Published: (2025)

Graph Contrastive Learning with Low-Rank Regularization and Low-Rank Attention for Noisy Node Classification
by: Wang, Yancheng, et al.
Published: (2024)