Cover Image

Learning from Complexity: Exploring Dynamic Sample Pruning of Spatio-Temporal Training

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Wei, Chen, Junle, Wu, Yuqian, Liang, Yuxuan, Zhou, Xiaofang
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

UrbanFM: Scaling Urban Spatio-Temporal Foundation Models
by: Chen, Wei, et al.
Published: (2026)

Learning with Calibration: Exploring Test-Time Computing of Spatio-Temporal Forecasting
by: Chen, Wei, et al.
Published: (2025)

Expand and Compress: Exploring Tuning Principles for Continual Spatio-Temporal Graph Forecasting
by: Chen, Wei, et al.
Published: (2024)

Select, then Balance: Exploring Exogenous Variable Modeling of Spatio-Temporal Forecasting
by: Chen, Wei, et al.
Published: (2025)

ST-LoRA: Low-rank Adaptation for Spatio-Temporal Forecasting
by: Ruan, Weilin, et al.
Published: (2024)

FlowNet: Modeling Dynamic Spatio-Temporal Systems via Flow Propagation
by: Feng, Yutong, et al.
Published: (2025)

GeoMAE: Masking Representation Learning for Spatio-Temporal Graph Forecasting with Missing Values
by: Ke, Songyu, et al.
Published: (2025)

RAST: A Retrieval Augmented Spatio-Temporal Framework for Traffic Prediction
by: Ruan, Weilin, et al.
Published: (2025)

Unraveling Spatio-Temporal Foundation Models via the Pipeline Lens: A Comprehensive Review
by: Fang, Yuchen, et al.
Published: (2025)

Modeling Spatio-temporal Dynamical Systems with Neural Discrete Learning and Levels-of-Experts
by: Wang, Kun, et al.
Published: (2024)

Personalized Federated Learning for Spatio-Temporal Forecasting: A Dual Semantic Alignment-Based Contrastive Approach
by: Liu, Qingxiang, et al.
Published: (2024)

Learning Spatio-Temporal Dynamics for Trajectory Recovery via Time-Aware Transformer
by: Sun, Tian, et al.
Published: (2025)

ASTER: Adaptive Spatio-Temporal Early Decision Model for Dynamic Resource Allocation
by: Chen, Shulun, et al.
Published: (2025)

Spatio-Temporal Field Neural Networks for Air Quality Inference
by: Feng, Yutong, et al.
Published: (2024)

Damba-ST: Domain-Adaptive Mamba for Efficient Urban Spatio-Temporal Prediction
by: An, Rui, et al.
Published: (2025)

Spatio-Temporal Fluid Dynamics Modeling via Physical-Awareness and Parameter Diffusion Guidance
by: Wu, Hao, et al.
Published: (2024)

Back to Basics: Let Conversational Agents Remember with Just Retrieval and Generation
by: Wu, Yuqian, et al.
Published: (2026)

A Hierarchical Framework with Spatio-Temporal Consistency Learning for Emergence Detection in Complex Adaptive Systems
by: Chen, Siyuan, et al.
Published: (2024)

Trajectory Representation Learning on Road Networks and Grids with Spatio-Temporal Dynamics
by: Schestakov, Stefan, et al.
Published: (2024)

Get Rid of Isolation: A Continuous Multi-task Spatio-Temporal Learning Framework
by: Yi, Zhongchao, et al.
Published: (2024)

Equivariant Spatio-Temporal Attentive Graph Networks to Simulate Physical Dynamics
by: Wu, Liming, et al.
Published: (2024)

Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction
by: Ji, Jiahao, et al.
Published: (2022)

KITS: Inductive Spatio-Temporal Kriging with Increment Training Strategy
by: Xu, Qianxiong, et al.
Published: (2023)

STM3: Mixture of Multiscale Mamba for Long-Term Spatio-Temporal Time-Series Prediction
by: Chen, Haolong, et al.
Published: (2025)

A Survey on Diffusion Models for Time Series and Spatio-Temporal Data
by: Yang, Yiyuan, et al.
Published: (2024)

Spatio-Temporal Graph Deep Learning with Stochastic Differential Equations for Uncovering Alzheimer's Disease Progression
by: Zhou, Houliang, et al.
Published: (2025)

Positional-aware Spatio-Temporal Network for Large-Scale Traffic Prediction
by: Chen, Runfei
Published: (2026)

STTS-EAD: Improving Spatio-Temporal Learning Based Time Series Prediction via
by: Liang, Yuanyuan, et al.
Published: (2025)

P$^2$ Law: Scaling Law for Post-Training After Model Pruning
by: Chen, Xiaodong, et al.
Published: (2024)

FedRTS: Federated Robust Pruning via Combinatorial Thompson Sampling
by: Huang, Hong, et al.
Published: (2025)

DyC-STG: Dynamic Causal Spatio-Temporal Graph Network for Real-time Data Credibility Analysis in IoT
by: Cheng, Guanjie, et al.
Published: (2025)

Uncovering Capabilities of Model Pruning in Graph Contrastive Learning
by: Wu, Junran, et al.
Published: (2024)

Nested Spatio-Temporal Time Series Forecasting
by: Ai, Yinghao, et al.
Published: (2026)

EasyST: A Simple Framework for Spatio-Temporal Prediction
by: Tang, Jiabin, et al.
Published: (2024)

Prompt-Based Spatio-Temporal Graph Transfer Learning
by: Hu, Junfeng, et al.
Published: (2024)

TASER: Temporal Adaptive Sampling for Fast and Accurate Dynamic Graph Representation Learning
by: Deng, Gangda, et al.
Published: (2024)

Decoupling Spatio-Temporal Prediction: When Lightweight Large Models Meet Adaptive Hypergraphs
by: Chen, Jiawen, et al.
Published: (2025)

STX-Search: Explanation Search for Continuous Dynamic Spatio-Temporal Models
by: Anwar, Saif, et al.
Published: (2025)

Spatio-Temporal Graph Unlearning
by: Guo, Qiming, et al.
Published: (2025)

PIMCST: Physics-Informed Multi-Phase Consensus and Spatio-Temporal Few-Shot Learning for Traffic Flow Forecasting
by: Fofanah, Abdul Joseph, et al.
Published: (2026)