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Interpretability

499 papers

Papers per year

3
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64
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Papers

Neuro-Symbolic Sentiment Analysis with Dynamic Word Sense Disambiguation EMNLP 2023
On General Language Understanding EMNLP 2023
IAEval: A Comprehensive Evaluation of Instance Attribution on Natural Language Understanding EMNLP 2023
Probing Representations for Document-level Event Extraction EMNLP 2023
Rethinking the Construction of Effective Metrics for Understanding the Mechanisms of Pretrained Language Models EMNLP 2023
Emptying the Ocean with a Spoon: Should We Edit Models? EMNLP 2023
AttCAT: Explaining Transformers via Attentive Class Activation Tokens NIPS 2022
Debugging and Explaining Metric Learning Approaches: An Influence Function Based Perspective NIPS 2022
Consistent Sufficient Explanations and Minimal Local Rules for explaining the decision of any classifier or regressor NIPS 2022
Neural Basis Models for Interpretability NIPS 2022
Towards Disentangling Information Paths with Coded ResNeXt NIPS 2022
On the Symmetries of Deep Learning Models and their Internal Representations NIPS 2022
Task-Agnostic Graph Explanations NIPS 2022
Introspective Learning : A Two-Stage approach for Inference in Neural Networks NIPS 2022
Benchmarking Heterogeneous Treatment Effect Models through the Lens of Interpretability NIPS 2022
RKHS-SHAP: Shapley Values for Kernel Methods NIPS 2022
Sparse Interaction Additive Networks via Feature Interaction Detection and Sparse Selection NIPS 2022
Where do Models go Wrong? Parameter-Space Saliency Maps for Explainability NIPS 2022
No Free Lunch from Deep Learning in Neuroscience: A Case Study through Models of the Entorhinal-Hippocampal Circuit NIPS 2022
On the Interpretability of Regularisation for Neural Networks Through Model Gradient Similarity NIPS 2022
RankFeat: Rank-1 Feature Removal for Out-of-distribution Detection NIPS 2022
If Influence Functions are the Answer, Then What is the Question? NIPS 2022
SkinCon: A skin disease dataset densely annotated by domain experts for fine-grained debugging and analysis NIPS 2022
Pre-activation Distributions Expose Backdoor Neurons NIPS 2022
Additive MIL: Intrinsically Interpretable Multiple Instance Learning for Pathology NIPS 2022