conftrace_

model interpretation

93 papers

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Co-occurring keywords

neural network (6616) model interpretability (519) feature attribution (280) shapley value (206) influence function (143) feature importance (139) adversarial attack (1621) saliency map (125) deep learning (2118) explainable ai (480)

Papers

From Sentiment to Interpretation: Teaching NLP for Literary Understanding Across Educational Contexts EACL 2026
HyperSHAP: Shapley Values and Interactions for Explaining Hyperparameter Optimization AAAI 2026
Error Slice Discovery via Manifold Compactness AAAI 2026
Unveiling the Influence of Amplifying Language-Specific Neurons AACL 2025
On Explaining Knowledge Distillation: Measuring and Visualising the Knowledge Transfer Process WACV 2025
Improving Causal Interventions in Amnesic Probing with Mean Projection or LEACE ACL 2025
Generalized Attention Flow: Feature Attribution for Transformer Models via Maximum Flow ACL 2025
Looking in the Mirror: A Faithful Counterfactual Explanation Method for Interpreting Deep Image Classification Models ICCV 2025
Interpretation Meets Safety: A Survey on Interpretation Methods and Tools for Improving LLM Safety EMNLP 2025
Adversarial Attacks on the Interpretation of Neuron Activation Maximization AAAI 2024
Survival Kernets: Scalable and Interpretable Deep Kernel Survival Analysis with an Accuracy Guarantee JMLR 2024
$\texttt{dattri}$: A Library for Efficient Data Attribution NIPS 2024
Data Attribution for Text-to-Image Models by Unlearning Synthesized Images NIPS 2024
Training Data Attribution via Approximate Unrolling NIPS 2024
Identifying Important Group of Pixels using Interactions CVPR 2024
Transformer Doctor: Diagnosing and Treating Vision Transformers NIPS 2024
Plausible Extractive Rationalization through Semi-Supervised Entailment Signal ACL 2024
Do Machine Learning Models Learn Statistical Rules Inferred from Data? ICML 2023
Cones: Concept Neurons in Diffusion Models for Customized Generation ICML 2023
From Shapley Values to Generalized Additive Models and back AISTATS 2023
A Protocol for Evaluating Model Interpretation Methods From Visual Explanations WACV 2023
MM-SHAP: A Performance-agnostic Metric for Measuring Multimodal Contributions in Vision and Language Models & Tasks ACL 2023
Rethinking Interpretation: Input-Agnostic Saliency Mapping of Deep Visual Classifiers AAAI 2023
Use perturbations when learning from explanations NIPS 2023
PWSHAP: A Path-Wise Explanation Model for Targeted Variables ICML 2023