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model interpretability

519 papers

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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

Contrastive Explanations for Model Interpretability EMNLP 2021
Influence Tuning: Demoting Spurious Correlations via Instance Attribution and Instance-Driven Updates EMNLP 2021
Discretized Integrated Gradients for Explaining Language Models EMNLP 2021
Rationales for Sequential Predictions EMNLP 2021
More Identifiable yet Equally Performant Transformers for Text Classification IJCNLP 2021
Efficient Explanations from Empirical Explainers EMNLP 2021
To what extent do human explanations of model behavior align with actual model behavior? EMNLP 2021
Designing Counterfactual Generators using Deep Model Inversion NIPS 2021
On Explainability of Graph Neural Networks via Subgraph Explorations ICML 2021
Counterfactual Explanations Can Be Manipulated NIPS 2021
Exploring Neural Language Models via Analysis of Local and Global Self-Attention Spaces EACL 2021
Good for Misconceived Reasons: An Empirical Revisiting on the Need for Visual Context in Multimodal Machine Translation IJCNLP 2021
Generative Causal Explanations for Graph Neural Networks ICML 2021
HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection AAAI 2021
Relevance-CAM: Your Model Already Knows Where To Look CVPR 2021
Alignment Rationale for Natural Language Inference ACL 2021
Learning to Explain: Generating Stable Explanations Fast ACL 2021
Syntactic Perturbations Reveal Representational Correlates of Hierarchical Phrase Structure in Pretrained Language Models ACL 2021
LQF: Linear Quadratic Fine-Tuning CVPR 2021
Human Rationales as Attribution Priors for Explainable Stance Detection EMNLP 2021
Does BERT Learn as Humans Perceive? Understanding Linguistic Styles through Lexica EMNLP 2021
Beyond the Tip of the Iceberg: Assessing Coherence of Text Classifiers EMNLP 2021
Exploratory Model Analysis Using Data-Driven Neuron Representations EMNLP 2021
“Something Something Hota Hai!” An Explainable Approach towards Sentiment Analysis on Indian Code-Mixed Data EMNLP 2021
Counterfactual Explanations for Oblique Decision Trees:Exact, Efficient Algorithms AAAI 2021