Copertina

Dataset Condensation for Time Series Classification via Dual Domain Matching

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Liu, Zhanyu, Hao, Ke, Zheng, Guanjie, Yu, Yanwei
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

CondTSF: One-line Plugin of Dataset Condensation for Time Series Forecasting
di: Ding, Jianrong, et al.
Pubblicazione: (2024)

Multi-scale Traffic Pattern Bank for Cross-city Few-shot Traffic Forecasting
di: Liu, Zhanyu, et al.
Pubblicazione: (2024)

Graph Data Condensation via Self-expressive Graph Structure Reconstruction
di: Liu, Zhanyu, et al.
Pubblicazione: (2024)

CMamba: Channel Correlation Enhanced State Space Models for Multivariate Time Series Forecasting
di: Zeng, Chaolv, et al.
Pubblicazione: (2024)

ShapeCond: Fast Shapelet-Guided Dataset Condensation for Time Series Classification
di: Peng, Sijia, et al.
Pubblicazione: (2026)

Frequency Enhanced Pre-training for Cross-city Few-shot Traffic Forecasting
di: Liu, Zhanyu, et al.
Pubblicazione: (2024)

How Much Can Time-related Features Enhance Time Series Forecasting?
di: Zeng, Chaolv, et al.
Pubblicazione: (2024)

Dual-Channel Multiplex Graph Neural Networks for Recommendation
di: Li, Xiang, et al.
Pubblicazione: (2024)

Enhancing Generalization via Sharpness-Aware Trajectory Matching for Dataset Condensation
di: Gao, Boyan, et al.
Pubblicazione: (2025)

We Need a More Robust Classifier: Dual Causal Learning Empowers Domain-Incremental Time Series Classification
di: Liu, Zhipeng, et al.
Pubblicazione: (2026)

Dataset Condensation with Latent Quantile Matching
di: Wei, Wei, et al.
Pubblicazione: (2024)

MTSCI: A Conditional Diffusion Model for Multivariate Time Series Consistent Imputation
di: Zhou, Jianping, et al.
Pubblicazione: (2024)

Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis
di: Liu, Haoxin, et al.
Pubblicazione: (2024)

Insight Miner: A Time Series Analysis Dataset for Cross-Domain Alignment with Natural Language
di: Zhang, Yunkai, et al.
Pubblicazione: (2025)

TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts
di: Huang, Yu-Hao, et al.
Pubblicazione: (2025)

MTS-UNMixers: Multivariate Time Series Forecasting via Channel-Time Dual Unmixing
di: Zhu, Xuanbing, et al.
Pubblicazione: (2024)

UMGAD: Unsupervised Multiplex Graph Anomaly Detection
di: Li, Xiang, et al.
Pubblicazione: (2024)

Dualformer: Time-Frequency Dual Domain Learning for Long-term Time Series Forecasting
di: Bai, Jingjing, et al.
Pubblicazione: (2026)

From Time Series to State: Situation-Aware Modeling for Air Traffic Flow Prediction
di: Liu, Anqi, et al.
Pubblicazione: (2026)

Rethinking Large Language Models For Irregular Time Series Classification In Critical Care
di: Zheng, Feixiang, et al.
Pubblicazione: (2026)

Towards Public Administration Research Based on Interpretable Machine Learning
di: Liu, Zhanyu, et al.
Pubblicazione: (2026)

DAM: Domain-Aware Module for Multi-Domain Dataset Condensation
di: Choi, Jaehyun, et al.
Pubblicazione: (2025)

Non-collective Calibrating Strategy for Time Series Forecasting
di: Wang, Bin, et al.
Pubblicazione: (2025)

Two Trades is not Baffled: Condensing Graph via Crafting Rational Gradient Matching
di: Zhang, Tianle, et al.
Pubblicazione: (2024)

Robust Graph Condensation via Classification Complexity Mitigation
di: Luo, Jiayi, et al.
Pubblicazione: (2025)

TimeMIL: Advancing Multivariate Time Series Classification via a Time-aware Multiple Instance Learning
di: Chen, Xiwen, et al.
Pubblicazione: (2024)

Exposing Vulnerabilities in Explanation for Time Series Classifiers via Dual-Target Attacks
di: Wang, Bohan, et al.
Pubblicazione: (2026)

SMORE: Similarity-based Hyperdimensional Domain Adaptation for Multi-Sensor Time Series Classification
di: Wang, Junyao, et al.
Pubblicazione: (2024)

Deep Unsupervised Domain Adaptation for Time Series Classification: a Benchmark
di: Fawaz, Hassan Ismail, et al.
Pubblicazione: (2023)

Classification of High-dimensional Time Series in Spectral Domain using Explainable Features
di: Roy, Sarbojit, et al.
Pubblicazione: (2024)

Harmonic Dataset Distillation for Time Series Forecasting
di: Hong, Seungha, et al.
Pubblicazione: (2026)

Accelerometer-Based Multivariate Time-Series Dataset for Calf Behavior Classification
di: Dissanayake, Oshana, et al.
Pubblicazione: (2024)

Cross-Domain Pre-training with Language Models for Transferable Time Series Representations
di: Cheng, Mingyue, et al.
Pubblicazione: (2024)

A Unified Shape-Aware Foundation Model for Time Series Classification
di: Liu, Zhen, et al.
Pubblicazione: (2026)

Revisiting Backdoor Attacks on Time Series Classification in the Frequency Domain
di: Huang, Yuanmin, et al.
Pubblicazione: (2025)

Advancing Time Series Classification with Multimodal Language Modeling
di: Cheng, Mingyue, et al.
Pubblicazione: (2024)

Towards Multimodal Time Series Anomaly Detection with Semantic Alignment and Condensed Interaction
di: Hu, Shiyan, et al.
Pubblicazione: (2026)

Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching
di: Zhang, Yuchen, et al.
Pubblicazione: (2024)

OLinear: A Linear Model for Time Series Forecasting in Orthogonally Transformed Domain
di: Yue, Wenzhen, et al.
Pubblicazione: (2025)

Decoupling and Damping: Structurally-Regularized Gradient Matching for Multimodal Graph Condensation
di: Shen, Lian, et al.
Pubblicazione: (2025)