Cover Image

We Need a More Robust Classifier: Dual Causal Learning Empowers Domain-Incremental Time Series Classification

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu, Zhipeng, Duan, Peibo, Tang, Xuan, Jing, Haodong, Geng, Mingyang, Huang, Yongsheng, Xu, Jialu, Zhang, Bin, Wang, Binwu
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

TimeFormer: Transformer with Attention Modulation Empowered by Temporal Characteristics for Time Series Forecasting
by: Liu, Zhipeng, et al.
Published: (2025)

DisMS-TS: Eliminating Redundant Multi-Scale Features for Time Series Classification
by: Liu, Zhipeng, et al.
Published: (2025)

A Distillation-based Future-aware Graph Neural Network for Stock Trend Prediction
by: Liu, Zhipeng, et al.
Published: (2025)

CogniSNN: An Exploration to Random Graph Architecture based Spiking Neural Networks with Enhanced Depth-Scalability and Path-Plasticity
by: Huang, Yongsheng, et al.
Published: (2025)

CogniSNN: Enabling Neuron-Expandability, Pathway-Reusability, and Dynamic-Configurability with Random Graph Architectures in Spiking Neural Networks
by: Huang, Yongsheng, et al.
Published: (2025)

Gated Fusion Enhanced Multi-Scale Hierarchical Graph Convolutional Network for Stock Movement Prediction
by: Xue, Xiaosha, et al.
Published: (2025)

Diffusion Model Driven Test-Time Image Adaptation for Robust Skin Lesion Classification
by: Hu, Ming, et al.
Published: (2024)

MorphSNN: Adaptive Graph Diffusion and Structural Plasticity for Spiking Neural Networks
by: Huang, Yongsheng, et al.
Published: (2026)

Do We Need Domain-Specific Embedding Models? An Empirical Investigation
by: Tang, Yixuan, et al.
Published: (2024)

Exemplar-free Class Incremental Learning via Discriminative and Comparable One-class Classifiers
by: Sun, Wenju, et al.
Published: (2022)

Balanced Online Class-Incremental Learning via Dual Classifiers
by: Wen, Shunjie, et al.
Published: (2025)

Your Classifier Can Do More: Towards Balancing the Gaps in Classification, Robustness, and Generation
by: Jiang, Kaichao, et al.
Published: (2025)

Domain-Incremental Learning for Audio Classification
by: Mulimani, Manjunath, et al.
Published: (2024)

Learning to Classify New Foods Incrementally Via Compressed Exemplars
by: Yang, Justin, et al.
Published: (2024)

Augur: Modeling Covariate Causal Associations in Time Series via Large Language Models
by: Cui, Zhiqing, et al.
Published: (2025)

Not All Timesteps Matter Equally: Selective Alignment Knowledge Distillation for Spiking Neural Networks
by: Sun, Kai, et al.
Published: (2026)

ILIF: Temporal Inhibitory Leaky Integrate-and-Fire Neuron for Overactivation in Spiking Neural Networks
by: Sun, Kai, et al.
Published: (2025)

The Price of Robustness: Stable Classifiers Need Overparameterization
by: von Berg, Jonas, et al.
Published: (2026)

Online Domain-Incremental Learning Approach to Classify Acoustic Scenes in All Locations
by: Mulimani, Manjunath, et al.
Published: (2024)

SimCS: Simulation for Domain Incremental Online Continual Segmentation
by: Alfarra, Motasem, et al.
Published: (2022)

Reinforcement Learning is all You Need
by: Lian, Yongsheng
Published: (2025)

Generalizing to Unseen Domains in Diabetic Retinopathy with Disentangled Representations
by: Xia, Peng, et al.
Published: (2024)

Epidemiology of Juvenile Dermatomyositis—What We Know and What More Is Needed?
by: Dev Desai, et al.
Published: (2025)

Do We Need More Exercise and Osteoarthritis Randomized Clinical Trials?
by: Stephen P. Messier
Published: (2024)

Cognitive Tools for Understanding History: What More Do We Need?
by: O'neill, D. K., et al.
Published: (2006)

Dataset Condensation for Time Series Classification via Dual Domain Matching
by: Liu, Zhanyu, et al.
Published: (2024)

DIRA: Dynamic Domain Incremental Regularised Adaptation
by: Ghobrial, Abanoub, et al.
Published: (2022)

MONICA: Benchmarking on Long-tailed Medical Image Classification
by: Ju, Lie, et al.
Published: (2024)

Language as an Anchor: Preserving Relative Visual Geometry for Domain Incremental Learning
by: Geng, Shuyi, et al.
Published: (2025)

DF4LCZ: A SAM-Empowered Data Fusion Framework for Scene-Level Local Climate Zone Classification
by: Wu, Qianqian, et al.
Published: (2024)

Scalable Analytic Classifiers with Associative Drift Compensation for Class-Incremental Learning of Vision Transformers
by: Rao, Xuan, et al.
Published: (2026)

Do We Have Sufficient Knowledge of the Galactic Foreground Emission in Cosmic Microwave Background Science?
by: Li, Jia-Rui, et al.
Published: (2026)

Diastolic Function in Acute Myocardial Infarction: Do We Need to Relax More?
by: Ioana Dregoesc, et al.
Published: (2025)

Reinforcement Learning-based Sequential Route Recommendation for System-Optimal Traffic Assignment
by: Wang, Leizhen, et al.
Published: (2025)

AGHINT: Attribute-Guided Representation Learning on Heterogeneous Information Networks with Transformer
by: Yuan, Jinhui, et al.
Published: (2024)

Boosting Domain Incremental Learning: Selecting the Optimal Parameters is All You Need
by: Wang, Qiang, et al.
Published: (2025)

We Need to Talk About Classification Evaluation Metrics in NLP
by: Vickers, Peter, et al.
Published: (2024)

Uncovering Causal Drivers of Energy Efficiency for Industrial Process in Foundry via Time-Series Causal Inference
by: Ma, Zhipeng, et al.
Published: (2025)

Is Difficulty Calibration All We Need? Towards More Practical Membership Inference Attacks
by: He, Yu, et al.
Published: (2024)

A General ReLearner: Empowering Spatiotemporal Prediction by Re-learning Input-label Residual
by: Ma, Jiaming, et al.
Published: (2026)