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Papers
TRACE: Trajectory-based Activation Change Estimation for Task-specific Data Selection
AAAI 2026
Data Descriptions from Large Language Models with Influence Estimation
EMNLP 2025
Influence-driven Curriculum Learning for Pre-training on Limited Data
EMNLP 2025
JI2S: Joint Influence‐Aware Instruction Data Selection for Efficient Fine‐Tuning
EMNLP 2025
LESS: Selecting Influential Data for Targeted Instruction Tuning
ICML 2024
The Mirrored Influence Hypothesis: Efficient Data Influence Estimation by Harnessing Forward Passes
CVPR 2024
Token-wise Influential Training Data Retrieval for Large Language Models
ACL 2024
"What Data Benefits My Classifier?" Enhancing Model Performance and Interpretability through Influence-Based Data Selection
ICLR 2024
Adapting and Evaluating Influence-Estimation Methods for Gradient-Boosted Decision Trees
JMLR 2023
Farewell to Aimless Large-scale Pretraining: Influential Subset Selection for Language Model
ACL 2023
Interpreting Unfairness in Graph Neural Networks via Training Node Attribution
AAAI 2023
Maximum Consensus by Weighted Influences of Monotone Boolean Functions
CVPR 2022
Explaining Neural Matrix Factorization with Gradient Rollback
AAAI 2021
Influence Estimation for Generative Adversarial Networks
ICLR 2021
What Neural Networks Memorize and Why: Discovering the Long Tail via Influence Estimation
NeurIPS 2020
Scalable Influence Estimation in Continuous-Time Diffusion Networks
NeurIPS 2013