Co-occurring keywords · papers mentioning both
Papers
Error Slice Discovery via Manifold Compactness
AAAI 2026
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
Generalized Attention Flow: Feature Attribution for Transformer Models via Maximum Flow
ACL 2025
How to Probe: Simple Yet Effective Techniques for Improving Post-hoc Explanations
ICLR 2025
Improving Causal Interventions in Amnesic Probing with Mean Projection or LEACE
ACL 2025
Influence Functions for Scalable Data Attribution in Diffusion Models
ICLR 2025
Interpretation Meets Safety: A Survey on Interpretation Methods and Tools for Improving LLM Safety
EMNLP 2025
Looking in the Mirror: A Faithful Counterfactual Explanation Method for Interpreting Deep Image Classification Models
ICCV 2025
On Explaining Knowledge Distillation: Measuring and Visualising the Knowledge Transfer Process
WACV 2025
dattri: A Library for Efficient Data Attribution
NeurIPS 2024
Adversarial Attacks on the Interpretation of Neuron Activation Maximization
AAAI 2024
Data Attribution for Text-to-Image Models by Unlearning Synthesized Images
NeurIPS 2024
Identifying Important Group of Pixels using Interactions
CVPR 2024
Language Model Inversion
ICLR 2024
Learning the greatest common divisor: explaining transformer predictions
ICLR 2024
Plausible Extractive Rationalization through Semi-Supervised Entailment Signal
ACL 2024
SOInter: A Novel Deep Energy-Based Interpretation Method for Explaining Structured Output Models
ICLR 2024
Survival Kernets: Scalable and Interpretable Deep Kernel Survival Analysis with an Accuracy Guarantee
JMLR 2024
Training Data Attribution via Approximate Unrolling
NeurIPS 2024
Transformer Doctor: Diagnosing and Treating Vision Transformers
NeurIPS 2024
A Protocol for Evaluating Model Interpretation Methods From Visual Explanations
WACV 2023
Cones: Concept Neurons in Diffusion Models for Customized Generation
ICML 2023
Do Machine Learning Models Learn Statistical Rules Inferred from Data?
ICML 2023
eForecaster: Unifying Electricity Forecasting with Robust, Flexible, and Explainable Machine Learning Algorithms
AAAI 2023