Copertina

Integrated Gradient Correlation: a Dataset-wise Attribution Method

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Lelièvre, Pierre, Chen, Chien-Chung
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

GUDA: Counterfactual Group-wise Training Data Attribution for Diffusion Models via Unlearning
di: Murata, Naoki, et al.
Pubblicazione: (2026)

AXIL: Exact Instance Attribution for Gradient Boosting
di: Geertsema, Paul, et al.
Pubblicazione: (2023)

AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs
di: Li, Mengran, et al.
Pubblicazione: (2025)

Uncertainty Calibration with Energy Based Instance-wise Scaling in the Wild Dataset
di: Kim, Mijoo, et al.
Pubblicazione: (2024)

Correlation-Aware Feature Attribution Based Explainable AI
di: Sengupta, Poushali, et al.
Pubblicazione: (2025)

Integrated Influence: Data Attribution with Baseline
di: Yang, Linxiao, et al.
Pubblicazione: (2025)

Differentially Private Block-wise Gradient Shuffle for Deep Learning
di: Zagardo, David
Pubblicazione: (2024)

Step-wise Adaptive Integration of Supervised Fine-tuning and Reinforcement Learning for Task-Specific LLMs
di: Chen, Jack, et al.
Pubblicazione: (2025)

GraSS: Scalable Data Attribution with Gradient Sparsification and Sparse Projection
di: Hu, Pingbang, et al.
Pubblicazione: (2025)

Measuring and Mitigating Bias for Tabular Datasets with Multiple Protected Attributes
di: Duong, Manh Khoi, et al.
Pubblicazione: (2024)

HELENE: Hessian Layer-wise Clipping and Gradient Annealing for Accelerating Fine-tuning LLM with Zeroth-order Optimization
di: Zhao, Huaqin, et al.
Pubblicazione: (2024)

An Effective Dynamic Gradient Calibration Method for Continual Learning
di: Lin, Weichen, et al.
Pubblicazione: (2024)

FreqX: Analyze the Attribution Methods in Another Domain
di: Liu, Zechen, et al.
Pubblicazione: (2024)

GIO: Gradient Information Optimization for Training Dataset Selection
di: Everaert, Dante, et al.
Pubblicazione: (2023)

A Dual-Perspective Approach to Evaluating Feature Attribution Methods
di: Li, Yawei, et al.
Pubblicazione: (2023)

A Layer-wise Analysis of Supervised Fine-Tuning
di: Zhao, Qinghua, et al.
Pubblicazione: (2026)

A Synthetic Dataset for Personal Attribute Inference
di: Yukhymenko, Hanna, et al.
Pubblicazione: (2024)

Cross-Space Adaptive Filter: Integrating Graph Topology and Node Attributes for Alleviating the Over-smoothing Problem
di: Huang, Chen, et al.
Pubblicazione: (2024)

CorrSynth -- A Correlated Sampling Method for Diverse Dataset Generation from LLMs
di: Kowshik, Suhas S, et al.
Pubblicazione: (2024)

Towards Minimizing Feature Drift in Model Merging: Layer-wise Task Vector Fusion for Adaptive Knowledge Integration
di: Sun, Wenju, et al.
Pubblicazione: (2025)

Extending Fair Null-Space Projections for Continuous Attributes to Kernel Methods
di: Störck, Felix, et al.
Pubblicazione: (2025)

Logit Dynamics in Softmax Policy Gradient Methods
di: Li, Yingru
Pubblicazione: (2025)

Gradient Based Method for the Fusion of Lattice Quantizers
di: Zhang, Liyuan, et al.
Pubblicazione: (2025)

Learning General Policies with Policy Gradient Methods
di: Ståhlberg, Simon, et al.
Pubblicazione: (2025)

SHapley Estimated Explanation (SHEP): A Fast Post-Hoc Attribution Method for Interpreting Intelligent Fault Diagnosis
di: Chen, Qian, et al.
Pubblicazione: (2025)

Improved Molecular Generation through Attribute-Driven Integrative Embeddings and GAN Selectivity
di: Joshi, Nandan, et al.
Pubblicazione: (2025)

A New Spatiotemporal Correlation Anomaly Detection Method that Integrates Contrastive Learning and Few-Shot Learning in Wireless Sensor Networks
di: Ye, Miao, et al.
Pubblicazione: (2025)

HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model
di: Wang, Yuling, et al.
Pubblicazione: (2025)

Fast Training Dataset Attribution via In-Context Learning
di: Fotouhi, Milad, et al.
Pubblicazione: (2024)

idSCD: Identifying Training Datasets through Semantic Correlation Descriptors
di: Gobeaja, Andrada, et al.
Pubblicazione: (2026)

Matrix Low-Rank Approximation For Policy Gradient Methods
di: Rozada, Sergio, et al.
Pubblicazione: (2024)

Policy Gradient Methods for Non-Markovian Reinforcement Learning
di: Kar, Avik, et al.
Pubblicazione: (2026)

Policy Gradient Methods in the Presence of Symmetries and State Abstractions
di: Panangaden, Prakash, et al.
Pubblicazione: (2023)

Adaptive Heavy-Tailed Stochastic Gradient Descent
di: Gong, Bodu, et al.
Pubblicazione: (2025)

Federated Natural Policy Gradient and Actor Critic Methods for Multi-task Reinforcement Learning
di: Yang, Tong, et al.
Pubblicazione: (2023)

GradCFA: A Hybrid Gradient-Based Counterfactual and Feature Attribution Explanation Algorithm for Local Interpretation of Neural Networks
di: Sanderson, Jacob, et al.
Pubblicazione: (2026)

An Integrated Fusion Framework for Ensemble Learning Leveraging Gradient Boosting and Fuzzy Rule-Based Models
di: Li, Jinbo, et al.
Pubblicazione: (2025)

Score-based Integrated Gradient for Root Cause Explanations of Outliers
di: Nguyen, Phuoc, et al.
Pubblicazione: (2026)

TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation
di: Jang, Hyeongwon, et al.
Pubblicazione: (2025)

Element-wise Attention Is All You Need
di: Feng, Guoxin
Pubblicazione: (2025)