Cover Image

RL-Selector: Reinforcement Learning-Guided Data Selection via Redundancy Assessment

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yang, Suorong, Li, Peijia, Shen, Furao, Zhao, Jian
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Multimodal-Guided Dynamic Dataset Pruning for Robust and Efficient Data-Centric Learning
by: Yang, Suorong, et al.
Published: (2025)

When Dynamic Data Selection Meets Data Augmentation
by: Yang, Suorong, et al.
Published: (2025)

AdaAugment: A Tuning-Free and Adaptive Approach to Enhance Data Augmentation
by: Yang, Suorong, et al.
Published: (2024)

Data Agent: Learning to Select Data via End-to-End Dynamic Optimization
by: Yang, Suorong, et al.
Published: (2026)

EntAugment: Entropy-Driven Adaptive Data Augmentation Framework for Image Classification
by: Yang, Suorong, et al.
Published: (2024)

On-the-Fly Data Augmentation via Gradient-Guided and Sample-Aware Influence Estimation
by: Yang, Suorong, et al.
Published: (2025)

IPF-RDA: An Information-Preserving Framework for Robust Data Augmentation
by: Yang, Suorong, et al.
Published: (2025)

Structure-Level Disentangled Diffusion for Few-Shot Chinese Font Generation
by: Li, Jie, et al.
Published: (2026)

A CLIP-Powered Framework for Robust and Generalizable Data Selection
by: Yang, Suorong, et al.
Published: (2024)

Explaining Model Overfitting in CNNs via GMM Clustering
by: Dou, Hui, et al.
Published: (2024)

Towards Redundancy-Free Sub-networks in Continual Learning
by: Chen, Cheng, et al.
Published: (2023)

Aligning Data Selection with Performance: Performance-driven Reinforcement Learning for Active Learning in Object Detection
by: Liang, Zhixuan, et al.
Published: (2023)

Refining Few-Step Text-to-Multiview Diffusion via Reinforcement Learning
by: Zhang, Ziyi, et al.
Published: (2025)

MARBLE: Multi-Aspect Reward Balance for Diffusion RL
by: Zhao, Canyu, et al.
Published: (2026)

Pixel-wise RL on Diffusion Models: Reinforcement Learning from Rich Feedback
by: Kordzanganeh, Mo, et al.
Published: (2024)

From Channel Bias to Feature Redundancy: Uncovering the "Less is More" Principle in Few-Shot Learning
by: Zhang, Ji, et al.
Published: (2023)

Many Perception Tasks are Highly Redundant Functions of their Input Data
by: Ramesh, Rahul, et al.
Published: (2024)

$Δ$-AttnMask: Attention-Guided Masked Hidden States for Efficient Data Selection and Augmentation
by: Hu, Jucheng, et al.
Published: (2025)

QeRL: Beyond Efficiency -- Quantization-enhanced Reinforcement Learning for LLMs
by: Huang, Wei, et al.
Published: (2025)

Region-Guided Attack on the Segment Anything Model (SAM)
by: Liu, Xiaoliang, et al.
Published: (2024)

Mitigating Data Redundancy to Revitalize Transformer-based Long-Term Time Series Forecasting System
by: Li, Mingjie, et al.
Published: (2022)

CARES: Context-Aware Resolution Selector for VLMs
by: Kimhi, Moshe, et al.
Published: (2025)

SAM2RL: Towards Reinforcement Learning Memory Control in Segment Anything Model 2
by: Adamyan, Alen, et al.
Published: (2025)

Enhancing Semi-Supervised Learning via Representative and Diverse Sample Selection
by: Shao, Qian, et al.
Published: (2024)

LetheViT: Selective Machine Unlearning for Vision Transformers via Attention-Guided Contrastive Learning
by: Tong, Yujia, et al.
Published: (2025)

VidGuard-R1: AI-Generated Video Detection and Explanation via Reasoning MLLMs and RL
by: Park, Kyoungjun, et al.
Published: (2025)

Guiding Distribution Matching Distillation with Gradient-Based Reinforcement Learning
by: Dong, Linwei, et al.
Published: (2026)

Distill to Think, Foresee to Act: Cognitive-Physical Reinforcement Learning for Autonomous Driving
by: Wu, Yang, et al.
Published: (2026)

Epoch-evolving Gaussian Process Guided Learning
by: Cui, Jiabao, et al.
Published: (2020)

RedTest: Towards Measuring Redundancy in Deep Neural Networks Effectively
by: Lu, Yao, et al.
Published: (2024)

Data-Driven Cellular Network Selector for Vehicle Teleoperations
by: Gahtan, Barak, et al.
Published: (2024)

Let the Target Select for Itself: Data Selection via Target-Aligned Paths
by: Yang, Huitao, et al.
Published: (2026)

PromptRL: Prompt Matters in RL for Flow-Based Image Generation
by: Wang, Fu-Yun, et al.
Published: (2026)

Efficient Training of Deep Networks using Guided Spectral Data Selection: A Step Toward Learning What You Need
by: Sharifi, Mohammadreza, et al.
Published: (2025)

Reinforce Adjoint Matching: Scaling RL Post-Training of Diffusion and Flow-Matching Models
by: Bergmeister, Andreas, et al.
Published: (2026)

FuRL: Visual-Language Models as Fuzzy Rewards for Reinforcement Learning
by: Fu, Yuwei, et al.
Published: (2024)

Instruct-ICL: Instruction-Guided In-Context Learning for Post-Disaster Damage Assessment
by: Zarbaft, Armin, et al.
Published: (2026)

ADHint: Adaptive Hints with Difficulty Priors for Reinforcement Learning
by: Zhang, Feng, et al.
Published: (2025)

Learning Personalized Driving Styles via Reinforcement Learning from Human Feedback
by: Li, Derun, et al.
Published: (2025)

Cross-Modal Redundancy and the Geometry of Vision-Language Embeddings
by: Dhimoïla, Grégoire, et al.
Published: (2026)