Image de couverture de livre

Faithful and Fast Influence Function via Advanced Sampling

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Koh, Jungyeon, Lyu, Hyeonsu, Jang, Jonggyu, Yang, Hyun Jong
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Deeper Understanding of Black-box Predictions via Generalized Influence Functions
par: Lyu, Hyeonsu, et autres
Publié: (2023)

Replace-then-Perturb: Targeted Adversarial Attacks With Visual Reasoning for Vision-Language Models
par: Jang, Jonggyu, et autres
Publié: (2024)

Rethinking Model Inversion Attacks With Patch-Wise Reconstruction
par: Jang, Jonggyu, et autres
Publié: (2023)

Non-iterative Optimization of Trajectory and Radio Resource for Aerial Network
par: Lyu, Hyeonsu, et autres
Publié: (2024)

Fed-ZOE: Communication-Efficient Over-the-Air Federated Learning via Zeroth-Order Estimation
par: Jang, Jonggyu, et autres
Publié: (2024)

Unveiling Hidden Visual Information: A Reconstruction Attack Against Adversarial Visual Information Hiding
par: Jang, Jonggyu, et autres
Publié: (2024)

Collaborative Large Language Model Inference via Resource-Aware Parallel Speculative Decoding
par: Koh, Jungyeon, et autres
Publié: (2025)

Enhancing Sum-Rate Performance in Constrained Multicell Networks: A Low-Information Exchange Approach
par: Kim, Youjin, et autres
Publié: (2024)

Group-robust Sample Reweighting for Subpopulation Shifts via Influence Functions
par: Qiao, Rui, et autres
Publié: (2025)

IFFair: Influence Function-driven Sample Reweighting for Fair Classification
par: Yang, Jingran, et autres
Publié: (2025)

Multi-View Graph Convolution Network for Internal Talent Recommendation Based on Enterprise Emails
par: Kim, Soo Hyun, et autres
Publié: (2025)

Encoding Temporal Statistical-space Priors via Augmented Representation
par: Choi, Insu, et autres
Publié: (2024)

Distributional Training Data Attribution: What do Influence Functions Sample?
par: Mlodozeniec, Bruno, et autres
Publié: (2025)

KVzap: Fast, Adaptive, and Faithful KV Cache Pruning
par: Jegou, Simon, et autres
Publié: (2026)

Accuracy-Delay Trade-Off in LLM Offloading via Token-Level Uncertainty
par: Kim, Yumin, et autres
Publié: (2026)

Faithful Density-Peaks Clustering via Matrix Computations on MPI Parallelization System
par: Xu, Ji, et autres
Publié: (2024)

Joint Optimization of User Association and Resource Allocation for Load Balancing With Multi-Level Fairness
par: Jang, Jonggyu, et autres
Publié: (2025)

ExECG: An Explainable AI Framework for ECG models
par: Jang, Jong-Hwan, et autres
Publié: (2026)

Faithful or Just Plausible? Evaluating the Faithfulness of Closed-Source LLMs in Medical Reasoning
par: Afolabi, Halimat, et autres
Publié: (2026)

FastFT: Accelerating Reinforced Feature Transformation via Advanced Exploration Strategies
par: He, Tianqi, et autres
Publié: (2025)

Sobolev acceleration for neural networks
par: Oh, Jong Kwon, et autres
Publié: (2025)

Fast Inference of Removal-Based Node Influence
par: Li, Weikai, et autres
Publié: (2024)

Fast Sampling via Discrete Non-Markov Diffusion Models with Predetermined Transition Time
par: Chen, Zixiang, et autres
Publié: (2023)

Fine-Tuning Diffusion Models for Molecular Generation via Reinforcement Learning and Fast Sampling
par: Lin, Guang, et autres
Publié: (2026)

DeepFaith: A Domain-Free and Model-Agnostic Unified Framework for Highly Faithful Explanations
par: Guo, Yuhan, et autres
Publié: (2025)

Fairness Without Harm: An Influence-Guided Active Sampling Approach
par: Pang, Jinlong, et autres
Publié: (2024)

FaithLM: Towards Faithful Explanations for Large Language Models
par: Chuang, Yu-Neng, et autres
Publié: (2024)

FASTER: Value-Guided Sampling for Fast RL
par: Dong, Perry, et autres
Publié: (2026)

Guided Diffusion Sampling on Function Spaces with Applications to PDEs
par: Yao, Jiachen, et autres
Publié: (2025)

Faithful Interpretation for Graph Neural Networks
par: Hu, Lijie, et autres
Publié: (2024)

Time Series Imputation with Multivariate Radial Basis Function Neural Network
par: Jung, Chanyoung, et autres
Publié: (2024)

Dynamic Influence Tracker: Measuring Time-Varying Sample Influence During Training
par: Xu, Jie, et autres
Publié: (2025)

Verifying Meta-Awareness via Predictive Rewards in Reasoning Models
par: Kim, Yoonjeon, et autres
Publié: (2025)

Towards Understanding the Influence of Training Samples on Explanations
par: Artelt, André, et autres
Publié: (2024)

Fate: Fast Edge Inference of Mixture-of-Experts Models via Cross-Layer Gate
par: Fang, Zhiyuan, et autres
Publié: (2025)

Towards Metric-Faithful Neural Graph Matching
par: Shivottam, Jyotirmaya, et autres
Publié: (2026)

STIMULUS: Achieving Fast Convergence and Low Sample Complexity in Stochastic Multi-Objective Learning
par: Liu, Zhuqing, et autres
Publié: (2025)

Debiased Model-based Representations for Sample-efficient Continuous Control
par: Lyu, Jiafei, et autres
Publié: (2026)

Revisiting Data Attribution for Influence Functions
par: Zhu, Hongbo, et autres
Publié: (2025)

Influence Functions for Preference Dataset Pruning
par: Fein, Daniel, et autres
Publié: (2025)