conftrace_

model interpretability

519 papers

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Co-occurring keywords

feature attribution (280) text classification (6793) neural network (6616) large language model (13587) explainable ai (480) model explanation (155) language model (4599) attention mechanism (4001) shapley value (206) representation learning (6206)

Papers

The Good, the Bad, and the Explainer: A Tool for Contrastive Explanations of Text Classifiers IJCAI 2022
On the Symmetries of Deep Learning Models and their Internal Representations NIPS 2022
A Functional Information Perspective on Model Interpretation ICML 2022
Covered Information Disentanglement: Model Transparency via Unbiased Permutation Importance AAAI 2022
Double Trouble: How to not Explain a Text Classifier’s Decisions Using Counterfactuals Synthesized by Masked Language Models? AACL 2022
ProtGNN: Towards Self-Explaining Graph Neural Networks AAAI 2022
Interpretable Low-Resource Legal Decision Making AAAI 2022
ProtoTEx: Explaining Model Decisions with Prototype Tensors ACL 2022
Are Shortest Rationales the Best Explanations for Human Understanding? ACL 2022
Model Doctor: A Simple Gradient Aggregation Strategy for Diagnosing and Treating CNN Classifiers AAAI 2022
Scaling Up Influence Functions AAAI 2022
Unifying Model Explainability and Robustness for Joint Text Classification and Rationale Extraction AAAI 2022
Manipulating SHAP via Adversarial Data Perturbations (Student Abstract) AAAI 2022
B-Cos Networks: Alignment Is All We Need for Interpretability CVPR 2022
Transformer Feed-Forward Layers Build Predictions by Promoting Concepts in the Vocabulary Space EMNLP 2022
Evaluating the Faithfulness of Importance Measures in NLP by Recursively Masking Allegedly Important Tokens and Retraining EMNLP 2022
Interpreting Language Models with Contrastive Explanations EMNLP 2022
ER-Test: Evaluating Explanation Regularization Methods for Language Models EMNLP 2022
Explaining Classes through Stable Word Attributions ACL 2022
What You See is What You Classify: Black Box Attributions NIPS 2022
Lazy Estimation of Variable Importance for Large Neural Networks ICML 2022
Efficient Model-Driven Network for Shadow Removal AAAI 2022
Agree To Disagree: When Deep Learning Models With Identical Architectures Produce Distinct Explanations WACV 2022
Necessity and Sufficiency for Explaining Text Classifiers: A Case Study in Hate Speech Detection NAACL 2022
AbductionRules: Training Transformers to Explain Unexpected Inputs ACL 2022