:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Moskvoretskii, Viktor, Alvandian, Narek
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2502.15834
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Self-Taught Self-Correction for Small Language Models
by: Moskvoretskii, Viktor, et al.
Published: (2025)

Predictive Coresets
by: Flores, Bernardo
Published: (2025)

MODE: Multi-Objective Adaptive Coreset Selection
by: Mukherjee, Tanmoy, et al.
Published: (2025)

A Coreset Selection of Coreset Selection Literature: Introduction and Recent Advances
by: Moser, Brian B., et al.
Published: (2025)

MLEM: Generative and Contrastive Learning as Distinct Modalities for Event Sequences
by: Moskvoretskii, Viktor, et al.
Published: (2024)

Refined Coreset Selection: Towards Minimal Coreset Size under Model Performance Constraints
by: Xia, Xiaobo, et al.
Published: (2023)

EBES: Easy Benchmarking for Event Sequences
by: Osin, Dmitry, et al.
Published: (2024)

Coreset Selection for Object Detection
by: Lee, Hojun, et al.
Published: (2024)

Distributionally Robust Coreset Selection under Covariate Shift
by: Tanaka, Tomonari, et al.
Published: (2025)

Coreset Selection via LLM-based Concept Bottlenecks
by: Mehra, Akshay, et al.
Published: (2025)

Contributing Dimension Structure of Deep Feature for Coreset Selection
by: Wan, Zhijing, et al.
Published: (2024)

Low-Resource Machine Translation through the Lens of Personalized Federated Learning
by: Moskvoretskii, Viktor, et al.
Published: (2024)

The Power of Few: Accelerating and Enhancing Data Reweighting with Coreset Selection
by: Jafari, Mohammad, et al.
Published: (2024)

Class-Proportional Coreset Selection for Difficulty-Separable Data
by: Tsai, Elisa, et al.
Published: (2025)

Speculative Coreset Selection for Task-Specific Fine-tuning
by: Zhang, Xiaoyu, et al.
Published: (2024)

Coresets from Trajectories: Selecting Data via Correlation of Loss Differences
by: Nagaraj, Manish, et al.
Published: (2025)

UPCORE: Utility-Preserving Coreset Selection for Balanced Unlearning
by: Patil, Vaidehi, et al.
Published: (2025)

The Impact of Coreset Selection on Spurious Correlations and Group Robustness
by: Dharmasiri, Amaya, et al.
Published: (2025)

GIFT-SW: Gaussian noise Injected Fine-Tuning of Salient Weights for LLMs
by: Zhelnin, Maxim, et al.
Published: (2024)

PDAC: Efficient Coreset Selection for Continual Learning via Probability Density Awareness
by: Gao, Junqi, et al.
Published: (2025)

Variational Bayesian Pseudo-Coreset
by: Lee, Hyungi, et al.
Published: (2025)

Gradient Coreset for Federated Learning
by: Sivasubramanian, Durga, et al.
Published: (2024)

Fair Wasserstein Coresets
by: Xiong, Zikai, et al.
Published: (2023)

Coreset-Based Task Selection for Sample-Efficient Meta-Reinforcement Learning
by: Zhan, Donglin, et al.
Published: (2025)

HyperCore: Coreset Selection under Noise via Hypersphere Models
by: Moser, Brian B., et al.
Published: (2025)

FAST: Topology-Aware Frequency-Domain Distribution Matching for Coreset Selection
by: Cui, Jin, et al.
Published: (2025)

The Easy Path to Robustness: Coreset Selection using Sample Hardness
by: Ramesh, Pranav, et al.
Published: (2025)

PICore: Physics-Informed Unsupervised Coreset Selection for Data Efficient Neural Operator Training
by: Satheesh, Anirudh, et al.
Published: (2025)

Coreset Spectral Clustering
by: Jourdan, Ben, et al.
Published: (2025)

Non-Uniform Class-Wise Coreset Selection for Vision Model Fine-tuning
by: Zhang, Hanyu, et al.
Published: (2025)

SubZeroCore: A Submodular Approach with Zero Training for Coreset Selection
by: Moser, Brian B., et al.
Published: (2025)

No Dimensional Sampling Coresets for Classification
by: Alishahi, Meysam, et al.
Published: (2024)

Explore and Establish Synergistic Effects Between Weight Pruning and Coreset Selection in Neural Network Training
by: Wan, Weilin, et al.
Published: (2025)

In2Core: Leveraging Influence Functions for Coreset Selection in Instruction Finetuning of Large Language Models
by: Joaquin, Ayrton San, et al.
Published: (2024)

Coreset Markov Chain Monte Carlo
by: Chen, Naitong, et al.
Published: (2023)

Deterministic Coreset for Lp Subspace
by: Chhaya, Rachit, et al.
Published: (2026)

Efficient Content-based Recommendation Model Training via Noise-aware Coreset Selection
by: Tran, Hung Vinh, et al.
Published: (2026)

Coreset-Induced Conditional Velocity Flow Matching
by: Wang, Xiao, et al.
Published: (2026)

TAGCOS: Task-agnostic Gradient Clustered Coreset Selection for Instruction Tuning Data
by: Zhang, Jipeng, et al.
Published: (2024)

Efficient and Robust Quantization-aware Training via Adaptive Coreset Selection
by: Huang, Xijie, et al.
Published: (2023)