Model Monitoring in the Absence of Labeled Data via Feature Attributions Distributions
Fuente:
arXiv
Saved in:
| Main Author: | Mougan, Carlos |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Fairness Implications of Encoding Protected Categorical Attributes
by: Mougan, Carlos, et al.
Published: (2022)
by: Mougan, Carlos, et al.
Published: (2022)
Model Selection of Anomaly Detectors in the Absence of Labeled Validation Data
by: Fung, Clement, et al.
Published: (2023)
by: Fung, Clement, et al.
Published: (2023)
Model Guidance via Robust Feature Attribution
by: Ghitu, Mihnea, et al.
Published: (2025)
by: Ghitu, Mihnea, et al.
Published: (2025)
The Attribution Contract: Feature Attribution for Generative Language Models
by: Nguyen, Giang
Published: (2026)
by: Nguyen, Giang
Published: (2026)
Model-Based Counterfactual Explanations Incorporating Feature Space Attributes for Tabular Data
by: Sumiya, Yuta, et al.
Published: (2024)
by: Sumiya, Yuta, et al.
Published: (2024)
Modeling Topological Impact on Node Attribute Distributions in Attributed Graphs
by: Langari, Amirreza Shiralinasab, et al.
Published: (2026)
by: Langari, Amirreza Shiralinasab, et al.
Published: (2026)
Federated Unlearning Model Recovery in Data with Skewed Label Distributions
by: Yu, Xinrui, et al.
Published: (2024)
by: Yu, Xinrui, et al.
Published: (2024)
RoSHAP: A Distributional Framework and Robust Metric for Stable Feature Attribution
by: Xiang, Lanxin, et al.
Published: (2026)
by: Xiang, Lanxin, et al.
Published: (2026)
Distribution-Based Feature Attribution for Explaining the Predictions of Any Classifier
by: Li, Xinpeng, et al.
Published: (2025)
by: Li, Xinpeng, et al.
Published: (2025)
Prospector Heads: Generalized Feature Attribution for Large Models & Data
by: Machiraju, Gautam, et al.
Published: (2024)
by: Machiraju, Gautam, et al.
Published: (2024)
Enhancing Visual Feature Attribution via Weighted Integrated Gradients
by: Tuan, Kien Tran Duc, et al.
Published: (2025)
by: Tuan, Kien Tran Duc, et al.
Published: (2025)
Stochastic Amortization: A Unified Approach to Accelerate Feature and Data Attribution
by: Covert, Ian, et al.
Published: (2024)
by: Covert, Ian, et al.
Published: (2024)
MAC: A Conversion Rate Prediction Benchmark Featuring Labels Under Multiple Attribution Mechanisms
by: Wu, Jinqi, et al.
Published: (2026)
by: Wu, Jinqi, et al.
Published: (2026)
AttributionLab: Faithfulness of Feature Attribution Under Controllable Environments
by: Zhang, Yang, et al.
Published: (2023)
by: Zhang, Yang, et al.
Published: (2023)
GRAFT: Auditing Graph Neural Networks via Global Feature Attribution
by: Sahoo, Rishi Raj, et al.
Published: (2026)
by: Sahoo, Rishi Raj, et al.
Published: (2026)
Exploring the Relationship Between Feature Attribution Methods and Model Performance
by: Silva, Priscylla, et al.
Published: (2024)
by: Silva, Priscylla, et al.
Published: (2024)
Generalized Attention Flow: Feature Attribution for Transformer Models via Maximum Flow
by: Azarkhalili, Behrooz, et al.
Published: (2025)
by: Azarkhalili, Behrooz, et al.
Published: (2025)
Nonparametric Data Attribution for Diffusion Models
by: Zhao, Yutian, et al.
Published: (2025)
by: Zhao, Yutian, et al.
Published: (2025)
From Distance to Direction: Structure-aware Label-specific Feature Fusion for Label Distribution Learning
by: Xu, Suping, et al.
Published: (2025)
by: Xu, Suping, et al.
Published: (2025)
Feature Attribution from First Principles
by: Taimeskhanov, Magamed, et al.
Published: (2025)
by: Taimeskhanov, Magamed, et al.
Published: (2025)
Disentangling Interactions and Dependencies in Feature Attribution
by: König, Gunnar, et al.
Published: (2024)
by: König, Gunnar, et al.
Published: (2024)
Mitigating Data Absence in Federated Learning Using Privacy-Controllable Data Digests
by: Hsu, Chih-Fan, et al.
Published: (2022)
by: Hsu, Chih-Fan, et al.
Published: (2022)
Training Feature Attribution for Vision Models
by: Bacha, Aziz, et al.
Published: (2025)
by: Bacha, Aziz, et al.
Published: (2025)
Energy-Based Model for Accurate Estimation of Shapley Values in Feature Attribution
by: Lu, Cheng, et al.
Published: (2024)
by: Lu, Cheng, et al.
Published: (2024)
DeepACTIF: Efficient Feature Attribution via Activation Traces in Neural Sequence Models
by: Hosp, Benedikt W.
Published: (2025)
by: Hosp, Benedikt W.
Published: (2025)
Label-Efficient Monitoring of Classification Models via Stratified Importance Sampling
by: Marsigli, Lupo, et al.
Published: (2026)
by: Marsigli, Lupo, et al.
Published: (2026)
Training Data Attribution via Approximate Unrolled Differentiation
by: Bae, Juhan, et al.
Published: (2024)
by: Bae, Juhan, et al.
Published: (2024)
Invariant Features in Language Models: Geometric Characterization and Model Attribution
by: Dasgupta, Agnibh, et al.
Published: (2026)
by: Dasgupta, Agnibh, et al.
Published: (2026)
Explaining Concept Shift with Interpretable Feature Attribution
by: Lyu, Ruiqi, et al.
Published: (2025)
by: Lyu, Ruiqi, et al.
Published: (2025)
Boundary-Aware Uncertainty for Feature Attribution Explainers
by: Hill, Davin, et al.
Published: (2022)
by: Hill, Davin, et al.
Published: (2022)
Missingness Bias Calibration in Feature Attribution Explanations
by: Sridhar, Shailesh, et al.
Published: (2026)
by: Sridhar, Shailesh, et al.
Published: (2026)
Impossibility Theorems for Feature Attribution
by: Bilodeau, Blair, et al.
Published: (2022)
by: Bilodeau, Blair, et al.
Published: (2022)
Adversarial Label Invariant Graph Data Augmentations for Out-of-Distribution Generalization
by: Zhang, Simon, et al.
Published: (2026)
by: Zhang, Simon, et al.
Published: (2026)
Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Method
by: Gao, Wanfu, et al.
Published: (2025)
by: Gao, Wanfu, et al.
Published: (2025)
UAKNN: Label Distribution Learning via Uncertainty-Aware KNN
by: Wang, Pu, et al.
Published: (2025)
by: Wang, Pu, et al.
Published: (2025)
Detecting and Filtering Unsafe Training Data via Data Attribution with Denoised Representation
by: Pan, Yijun, et al.
Published: (2025)
by: Pan, Yijun, et al.
Published: (2025)
Scalable Label Distribution Learning for Multi-Label Classification
by: Zhao, Xingyu, et al.
Published: (2023)
by: Zhao, Xingyu, et al.
Published: (2023)
Feature-Label Modal Alignment for Robust Partial Multi-Label Learning
by: Chen, Yu, et al.
Published: (2026)
by: Chen, Yu, et al.
Published: (2026)
PrivDFS: Private Inference via Distributed Feature Sharing against Data Reconstruction Attacks
by: Liu, Zihan, et al.
Published: (2025)
by: Liu, Zihan, et al.
Published: (2025)
Study Features via Exploring Distribution Structure
by: Cao, Chunxu, et al.
Published: (2024)
by: Cao, Chunxu, et al.
Published: (2024)
Similar Items
-
Fairness Implications of Encoding Protected Categorical Attributes
by: Mougan, Carlos, et al.
Published: (2022) -
Model Selection of Anomaly Detectors in the Absence of Labeled Validation Data
by: Fung, Clement, et al.
Published: (2023) -
Model Guidance via Robust Feature Attribution
by: Ghitu, Mihnea, et al.
Published: (2025) -
The Attribution Contract: Feature Attribution for Generative Language Models
by: Nguyen, Giang
Published: (2026) -
Model-Based Counterfactual Explanations Incorporating Feature Space Attributes for Tabular Data
by: Sumiya, Yuta, et al.
Published: (2024)