Cover Image

A Scalable Curiosity-Driven Game-Theoretic Framework for Long-Tail Multi-Label Learning in Data Mining

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yang, Jing, Wang, Keze
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

Causal Invariance and Counterfactual Learning Driven Cooperative Game for Multi-Label Classification
by: Fan, Yijia, et al.
Published: (2025)

Curiosity Meets Cooperation: A Game-Theoretic Approach to Long-Tail Multi-Label Learning
by: Xiao, Canran, et al.
Published: (2025)

Learning Dynamics of VLM Finetuning
by: Zhang, Jusheng, et al.
Published: (2025)

Guardian: Decoupling Exploration from Safety in Reinforcement Learning
by: Cai, Kaitong, et al.
Published: (2025)

Addressing Long-Tail Noisy Label Learning Problems: a Two-Stage Solution with Label Refurbishment Considering Label Rarity
by: Wu, Ying-Hsuan, et al.
Published: (2024)

RevFFN: Memory-Efficient Full-Parameter Fine-Tuning of Mixture-of-Experts LLMs with Reversible Blocks
by: Liu, Ningyuan, et al.
Published: (2025)

Mining the Long Tail: A Comparative Study of Data-Centric Criticality Metrics for Robust Offline Reinforcement Learning in Autonomous Motion Planning
by: Guillen-Perez, Antonio
Published: (2025)

Distribution-Aware Robust Learning from Long-Tailed Data with Noisy Labels
by: Baik, Jae Soon, et al.
Published: (2024)

Curiosity & Entropy Driven Unsupervised RL in Multiple Environments
by: Dewan, Shaurya, et al.
Published: (2024)

Uncertainty Makes It Stable: Curiosity-Driven Quantized Mixture-of-Experts
by: Ordóñez, Sebastián Andrés Cajas, et al.
Published: (2025)

Backward-Friendly Optimization: Training Large Language Models with Approximate Gradients under Memory Constraints
by: Yang, Jing, et al.
Published: (2025)

Rational ANOVA Networks
by: Zhang, Jusheng, et al.
Published: (2026)

Curiosity-Diffuser: Curiosity Guide Diffusion Models for Reliability
by: Liu, Zihao, et al.
Published: (2025)

Understanding the Impact of Differentially Private Training on Memorization of Long-Tailed Data
by: Zhang, Jiaming, et al.
Published: (2026)

Multi-Objective Reinforcement Learning with Max-Min Criterion: A Game-Theoretic Approach
by: Byeon, Woohyeon, et al.
Published: (2025)

Decoupled Federated Learning on Long-Tailed and Non-IID data with Feature Statistics
by: Chen, Zhuoxin, et al.
Published: (2024)

CDE: Curiosity-Driven Exploration for Efficient Reinforcement Learning in Large Language Models
by: Dai, Runpeng, et al.
Published: (2025)

The Malignant Tail: Spectral Segregation of Label Noise in Over-Parameterized Networks
by: Wang, Zice
Published: (2026)

DeepFMEA -- A Scalable Framework Harmonizing Process Expertise and Data-Driven PHM
by: Netsch, Christoph, et al.
Published: (2024)

CuES: A Curiosity-driven and Environment-grounded Synthesis Framework for Agentic RL
by: Mai, Shinji, et al.
Published: (2025)

Early Warning of Intraoperative Adverse Events via Transformer-Driven Multi-Label Learning
by: Wang, Xueyao, et al.
Published: (2026)

Forgetting Any Data at Any Time: A Theoretically Certified Unlearning Framework for Vertical Federated Learning
by: Wang, Linian, et al.
Published: (2025)

Why Keep Your Doubts to Yourself? Trading Visual Uncertainties in Multi-Agent Bandit Systems
by: Zhang, Jusheng, et al.
Published: (2026)

Space Alignment Matters: The Missing Piece for Inducing Neural Collapse in Long-Tailed Learning
by: Wang, Jinping, et al.
Published: (2025)

BubbleSpec: Turning Long-Tail Bubbles into Speculative Rollout Drafts for Synchronous Reinforcement Learning
by: Xu, Yuhang, et al.
Published: (2026)

Learning from Noisy Labels for Long-tailed Data via Optimal Transport
by: Li, Mengting, et al.
Published: (2024)

Using Curiosity for an Even Representation of Tasks in Continual Offline Reinforcement Learning
by: Pathmanathan, Pankayaraj, et al.
Published: (2023)

Multi-Label Transfer Learning in Non-Stationary Data Streams
by: Du, Honghui, et al.
Published: (2025)

MultiTab: A Scalable Foundation for Multitask Learning on Tabular Data
by: Sinodinos, Dimitrios, et al.
Published: (2025)

Ensemble of Pre-Trained Models for Long-Tailed Trajectory Prediction
by: Thuremella, Divya, et al.
Published: (2025)

Diversifying Policy Behaviors with Extrinsic Behavioral Curiosity
by: Wan, Zhenglin, et al.
Published: (2024)

Curiosity-driven RL for symbolic equation solving
by: O'Keeffe, Kevin P.
Published: (2025)

Scheduled Curiosity-Deep Dyna-Q: Efficient Exploration for Dialog Policy Learning
by: Niu, Xuecheng, et al.
Published: (2024)

Multi-View Subgraph Neural Networks: Self-Supervised Learning with Scarce Labeled Data
by: Wang, Zhenzhong, et al.
Published: (2024)

Momentum Boosted Episodic Memory for Improving Learning in Long-Tailed RL Environments
by: Fernandes, Dolton, et al.
Published: (2025)

Heterogeneous Learning Rate Scheduling for Neural Architecture Search on Long-Tailed Datasets
by: Tang, Chenxia
Published: (2024)

Revisiting Meta-Learning with Noisy Labels: Reweighting Dynamics and Theoretical Guarantees
by: Zhang, Yiming, et al.
Published: (2025)

NanoNet: Parameter-Efficient Learning with Label-Scarce Supervision for Lightweight Text Mining Model
by: Mao, Qianren, et al.
Published: (2026)

TAET: Two-Stage Adversarial Equalization Training on Long-Tailed Distributions
by: YuHang, Wang, et al.
Published: (2025)

Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations
by: Liang, Yongyuan, et al.
Published: (2023)