A Scalable Curiosity-Driven Game-Theoretic Framework for Long-Tail Multi-Label Learning in Data Mining
Fuente:
arXiv
Guardado en:
| Autores principales: | Yang, Jing, Wang, Keze |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Causal Invariance and Counterfactual Learning Driven Cooperative Game for Multi-Label Classification
por: Fan, Yijia, et al.
Publicado: (2025)
por: Fan, Yijia, et al.
Publicado: (2025)
Curiosity Meets Cooperation: A Game-Theoretic Approach to Long-Tail Multi-Label Learning
por: Xiao, Canran, et al.
Publicado: (2025)
por: Xiao, Canran, et al.
Publicado: (2025)
Learning Dynamics of VLM Finetuning
por: Zhang, Jusheng, et al.
Publicado: (2025)
por: Zhang, Jusheng, et al.
Publicado: (2025)
Guardian: Decoupling Exploration from Safety in Reinforcement Learning
por: Cai, Kaitong, et al.
Publicado: (2025)
por: Cai, Kaitong, et al.
Publicado: (2025)
Addressing Long-Tail Noisy Label Learning Problems: a Two-Stage Solution with Label Refurbishment Considering Label Rarity
por: Wu, Ying-Hsuan, et al.
Publicado: (2024)
por: Wu, Ying-Hsuan, et al.
Publicado: (2024)
RevFFN: Memory-Efficient Full-Parameter Fine-Tuning of Mixture-of-Experts LLMs with Reversible Blocks
por: Liu, Ningyuan, et al.
Publicado: (2025)
por: Liu, Ningyuan, et al.
Publicado: (2025)
Mining the Long Tail: A Comparative Study of Data-Centric Criticality Metrics for Robust Offline Reinforcement Learning in Autonomous Motion Planning
por: Guillen-Perez, Antonio
Publicado: (2025)
por: Guillen-Perez, Antonio
Publicado: (2025)
Distribution-Aware Robust Learning from Long-Tailed Data with Noisy Labels
por: Baik, Jae Soon, et al.
Publicado: (2024)
por: Baik, Jae Soon, et al.
Publicado: (2024)
Curiosity & Entropy Driven Unsupervised RL in Multiple Environments
por: Dewan, Shaurya, et al.
Publicado: (2024)
por: Dewan, Shaurya, et al.
Publicado: (2024)
Uncertainty Makes It Stable: Curiosity-Driven Quantized Mixture-of-Experts
por: Ordóñez, Sebastián Andrés Cajas, et al.
Publicado: (2025)
por: Ordóñez, Sebastián Andrés Cajas, et al.
Publicado: (2025)
Backward-Friendly Optimization: Training Large Language Models with Approximate Gradients under Memory Constraints
por: Yang, Jing, et al.
Publicado: (2025)
por: Yang, Jing, et al.
Publicado: (2025)
Rational ANOVA Networks
por: Zhang, Jusheng, et al.
Publicado: (2026)
por: Zhang, Jusheng, et al.
Publicado: (2026)
Curiosity-Diffuser: Curiosity Guide Diffusion Models for Reliability
por: Liu, Zihao, et al.
Publicado: (2025)
por: Liu, Zihao, et al.
Publicado: (2025)
Understanding the Impact of Differentially Private Training on Memorization of Long-Tailed Data
por: Zhang, Jiaming, et al.
Publicado: (2026)
por: Zhang, Jiaming, et al.
Publicado: (2026)
Multi-Objective Reinforcement Learning with Max-Min Criterion: A Game-Theoretic Approach
por: Byeon, Woohyeon, et al.
Publicado: (2025)
por: Byeon, Woohyeon, et al.
Publicado: (2025)
Decoupled Federated Learning on Long-Tailed and Non-IID data with Feature Statistics
por: Chen, Zhuoxin, et al.
Publicado: (2024)
por: Chen, Zhuoxin, et al.
Publicado: (2024)
CDE: Curiosity-Driven Exploration for Efficient Reinforcement Learning in Large Language Models
por: Dai, Runpeng, et al.
Publicado: (2025)
por: Dai, Runpeng, et al.
Publicado: (2025)
The Malignant Tail: Spectral Segregation of Label Noise in Over-Parameterized Networks
por: Wang, Zice
Publicado: (2026)
por: Wang, Zice
Publicado: (2026)
DeepFMEA -- A Scalable Framework Harmonizing Process Expertise and Data-Driven PHM
por: Netsch, Christoph, et al.
Publicado: (2024)
por: Netsch, Christoph, et al.
Publicado: (2024)
CuES: A Curiosity-driven and Environment-grounded Synthesis Framework for Agentic RL
por: Mai, Shinji, et al.
Publicado: (2025)
por: Mai, Shinji, et al.
Publicado: (2025)
Early Warning of Intraoperative Adverse Events via Transformer-Driven Multi-Label Learning
por: Wang, Xueyao, et al.
Publicado: (2026)
por: Wang, Xueyao, et al.
Publicado: (2026)
Forgetting Any Data at Any Time: A Theoretically Certified Unlearning Framework for Vertical Federated Learning
por: Wang, Linian, et al.
Publicado: (2025)
por: Wang, Linian, et al.
Publicado: (2025)
Why Keep Your Doubts to Yourself? Trading Visual Uncertainties in Multi-Agent Bandit Systems
por: Zhang, Jusheng, et al.
Publicado: (2026)
por: Zhang, Jusheng, et al.
Publicado: (2026)
Space Alignment Matters: The Missing Piece for Inducing Neural Collapse in Long-Tailed Learning
por: Wang, Jinping, et al.
Publicado: (2025)
por: Wang, Jinping, et al.
Publicado: (2025)
BubbleSpec: Turning Long-Tail Bubbles into Speculative Rollout Drafts for Synchronous Reinforcement Learning
por: Xu, Yuhang, et al.
Publicado: (2026)
por: Xu, Yuhang, et al.
Publicado: (2026)
Learning from Noisy Labels for Long-tailed Data via Optimal Transport
por: Li, Mengting, et al.
Publicado: (2024)
por: Li, Mengting, et al.
Publicado: (2024)
Using Curiosity for an Even Representation of Tasks in Continual Offline Reinforcement Learning
por: Pathmanathan, Pankayaraj, et al.
Publicado: (2023)
por: Pathmanathan, Pankayaraj, et al.
Publicado: (2023)
Multi-Label Transfer Learning in Non-Stationary Data Streams
por: Du, Honghui, et al.
Publicado: (2025)
por: Du, Honghui, et al.
Publicado: (2025)
MultiTab: A Scalable Foundation for Multitask Learning on Tabular Data
por: Sinodinos, Dimitrios, et al.
Publicado: (2025)
por: Sinodinos, Dimitrios, et al.
Publicado: (2025)
Ensemble of Pre-Trained Models for Long-Tailed Trajectory Prediction
por: Thuremella, Divya, et al.
Publicado: (2025)
por: Thuremella, Divya, et al.
Publicado: (2025)
Diversifying Policy Behaviors with Extrinsic Behavioral Curiosity
por: Wan, Zhenglin, et al.
Publicado: (2024)
por: Wan, Zhenglin, et al.
Publicado: (2024)
Curiosity-driven RL for symbolic equation solving
por: O'Keeffe, Kevin P.
Publicado: (2025)
por: O'Keeffe, Kevin P.
Publicado: (2025)
Scheduled Curiosity-Deep Dyna-Q: Efficient Exploration for Dialog Policy Learning
por: Niu, Xuecheng, et al.
Publicado: (2024)
por: Niu, Xuecheng, et al.
Publicado: (2024)
Multi-View Subgraph Neural Networks: Self-Supervised Learning with Scarce Labeled Data
por: Wang, Zhenzhong, et al.
Publicado: (2024)
por: Wang, Zhenzhong, et al.
Publicado: (2024)
Momentum Boosted Episodic Memory for Improving Learning in Long-Tailed RL Environments
por: Fernandes, Dolton, et al.
Publicado: (2025)
por: Fernandes, Dolton, et al.
Publicado: (2025)
Heterogeneous Learning Rate Scheduling for Neural Architecture Search on Long-Tailed Datasets
por: Tang, Chenxia
Publicado: (2024)
por: Tang, Chenxia
Publicado: (2024)
Revisiting Meta-Learning with Noisy Labels: Reweighting Dynamics and Theoretical Guarantees
por: Zhang, Yiming, et al.
Publicado: (2025)
por: Zhang, Yiming, et al.
Publicado: (2025)
NanoNet: Parameter-Efficient Learning with Label-Scarce Supervision for Lightweight Text Mining Model
por: Mao, Qianren, et al.
Publicado: (2026)
por: Mao, Qianren, et al.
Publicado: (2026)
TAET: Two-Stage Adversarial Equalization Training on Long-Tailed Distributions
por: YuHang, Wang, et al.
Publicado: (2025)
por: YuHang, Wang, et al.
Publicado: (2025)
Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations
por: Liang, Yongyuan, et al.
Publicado: (2023)
por: Liang, Yongyuan, et al.
Publicado: (2023)
Ejemplares similares
-
Causal Invariance and Counterfactual Learning Driven Cooperative Game for Multi-Label Classification
por: Fan, Yijia, et al.
Publicado: (2025) -
Curiosity Meets Cooperation: A Game-Theoretic Approach to Long-Tail Multi-Label Learning
por: Xiao, Canran, et al.
Publicado: (2025) -
Learning Dynamics of VLM Finetuning
por: Zhang, Jusheng, et al.
Publicado: (2025) -
Guardian: Decoupling Exploration from Safety in Reinforcement Learning
por: Cai, Kaitong, et al.
Publicado: (2025) -
Addressing Long-Tail Noisy Label Learning Problems: a Two-Stage Solution with Label Refurbishment Considering Label Rarity
por: Wu, Ying-Hsuan, et al.
Publicado: (2024)