Image de couverture de livre

BWS: Best Window Selection Based on Sample Scores for Data Pruning across Broad Ranges

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Choi, Hoyong, Ki, Nohyun, Chung, Hye Won
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

SelMatch: Effectively Scaling Up Dataset Distillation via Selection-Based Initialization and Partial Updates by Trajectory Matching
par: Lee, Yongmin, et autres
Publié: (2024)

VIPAMIN: Visual Prompt Initialization via Embedding Selection and Subspace Expansion
par: Park, Jaekyun, et autres
Publié: (2025)

Rethinking Self-Distillation: Label Averaging and Enhanced Soft Label Refinement with Partial Labels
par: Jeong, Hyeonsu, et autres
Publié: (2024)

Representation Norm Amplification for Out-of-Distribution Detection in Long-Tail Learning
par: Shin, Dong Geun, et autres
Publié: (2024)

Rank-1 Matrix Completion with Gradient Descent and Small Random Initialization
par: Kim, Daesung, et autres
Publié: (2022)

CovMatch: Cross-Covariance Guided Multimodal Dataset Distillation with Trainable Text Encoder
par: Lee, Yongmin, et autres
Publié: (2025)

Effective Data Pruning through Score Extrapolation
par: Schmidt, Sebastian, et autres
Publié: (2025)

Exact Matching in Correlated Networks with Node Attributes for Improved Community Recovery
par: Yang, Joonhyuk, et autres
Publié: (2025)

Label Distribution Shift-Aware Prediction Refinement for Test-Time Adaptation
par: Jang, Minguk, et autres
Publié: (2024)

Window-Diffusion: Accelerating Diffusion Language Model Inference with Windowed Token Pruning and Caching
par: Zuo, Fengrui, et autres
Publié: (2026)

Batch Loss Score for Dynamic Data Pruning
par: Zhou, Qing, et autres
Publié: (2026)

Asymptotic Midpoint Mixup for Margin Balancing and Moderate Broadening
par: Kim, Hoyong, et autres
Publié: (2024)

Revisiting Softmax Masking: Stop Gradient for Enhancing Stability in Replay-based Continual Learning
par: Kim, Hoyong, et autres
Publié: (2023)

Disentangling the Roles of Representation and Selection in Data Pruning
par: Du, Yupei, et autres
Publié: (2025)

Rethinking Forward Processes for Score-Based Nonlinear Data Assimilation in High Dimensions
par: Yoon, Eunbi, et autres
Publié: (2026)

Structured Pruning for Diverse Best-of-N Reasoning Optimization
par: Nguyen, Hieu Trung, et autres
Publié: (2025)

Sampling Binary Data by Denoising through Score Functions
par: Bach, Francis, et autres
Publié: (2025)

PruneFuse: Efficient Data Selection via Weight Pruning and Network Fusion
par: Kousar, Humaira, et autres
Publié: (2026)

SNAP: Low-Latency Test-Time Adaptation with Sparse Updates
par: Cha, Hyeongheon, et autres
Publié: (2025)

Selection of the Most Probable Best
par: Kim, Taeho, et autres
Publié: (2022)

Text2Cypher: Data Pruning using Hard Example Selection
par: Ozsoy, Makbule Gulcin
Publié: (2025)

Score-Based One-step MeanFlow Policy Optimization
par: Kim, Kyungyoon, et autres
Publié: (2026)

Gradient-Free Score-Based Sampling Methods with Ensembles
par: Riel, Bryan, et autres
Publié: (2024)

Best Practices for Responsible Machine Learning in Credit Scoring
par: Valdrighi, Giovani, et autres
Publié: (2024)

Sliding-Window Thompson Sampling for Non-Stationary Settings
par: Fiandri, Marco, et autres
Publié: (2024)

Learning from Matured Dumb Teacher for Fine Generalization
par: Jung, HeeSeung, et autres
Publié: (2021)

Entropy Meets Importance: A Unified Head Importance-Entropy Score for Stable and Efficient Transformer Pruning
par: Choi, Minsik, et autres
Publié: (2025)

Pruning-based Data Selection and Network Fusion for Efficient Deep Learning
par: Kousar, Humaira, et autres
Publié: (2025)

Dynamic Incremental Optimization for Best Subset Selection
par: Ren, Shaogang, et autres
Publié: (2024)

Active Learning for Finely-Categorized Image-Text Retrieval by Selecting Hard Negative Unpaired Samples
par: Jo, Dae Ung, et autres
Publié: (2024)

Flexible Empowerment at Reasoning with Extended Best-of-N Sampling
par: Kobayashi, Taisuke
Publié: (2026)

Stochastically Constrained Best Arm Identification with Thompson Sampling
par: Yang, Le, et autres
Publié: (2025)

Measuring Sample Importance in Data Pruning for Language Models based on Information Entropy
par: Kim, Minsang, et autres
Publié: (2024)

Best-Arm Identification-Based Trust Region Selection for Bayesian Optimization on Multimodal Functions
par: Namura, Nobuo, et autres
Publié: (2026)

The Signal is in the Steps: Local Scoring for Reasoning Data Selection
par: Just, Hoang Anh, et autres
Publié: (2025)

A Multivariate Bernoulli-Based Sampling Method for Multi-Label Data with Application to Meta-Research
par: Chung, Simon, et autres
Publié: (2025)

The Best of N Worlds: Aligning Reinforcement Learning with Best-of-N Sampling via max@k Optimisation
par: Bagirov, Farid, et autres
Publié: (2025)

MPruner: Optimizing Neural Network Size with CKA-Based Mutual Information Pruning
par: Hu, Seungbeom, et autres
Publié: (2024)

Distill the Best, Ignore the Rest: Improving Dataset Distillation with Loss-Value-Based Pruning
par: Moser, Brian B., et autres
Publié: (2024)

Selection of the Best Policy under Fairness Constraints for Subpopulations
par: Zhu, Tingyu, et autres
Publié: (2026)