Interpretability
512 papers
Papers per year
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Papers
Measuring Context-Word Biases in Lexical Semantic Datasets
EMNLP 2022
Model Distillation for Faithful Explanations of Medical Code Predictions
ACL 2022
Model Doctor: A Simple Gradient Aggregation Strategy for Diagnosing and Treating CNN Classifiers
AAAI 2022
Neural Basis Models for Interpretability
NeurIPS 2022
No Free Lunch from Deep Learning in Neuroscience: A Case Study through Models of the Entorhinal-Hippocampal Circuit
NeurIPS 2022
On the data requirements of probing
ACL 2022
On the Interpretability of Regularisation for Neural Networks Through Model Gradient Similarity
NeurIPS 2022
On the Sensitivity and Stability of Model Interpretations in NLP
ACL 2022
On the Symmetries of Deep Learning Models and their Internal Representations
NeurIPS 2022
Optimal Local Explainer Aggregation for Interpretable Prediction
AAAI 2022
Optimizing Binary Decision Diagrams with MaxSAT for Classification
AAAI 2022
Pre-activation Distributions Expose Backdoor Neurons
NeurIPS 2022
Probing for Constituency Structure in Neural Language Models
EMNLP 2022
ProtGNN: Towards Self-Explaining Graph Neural Networks
AAAI 2022
RankFeat: Rank-1 Feature Removal for Out-of-distribution Detection
NeurIPS 2022
RES: An Interpretable Replicability Estimation System for Research Publications
AAAI 2022
Rethinking Influence Functions of Neural Networks in the Over-Parameterized Regime
AAAI 2022
Right for the Right Reason: Evidence Extraction for Trustworthy Tabular Reasoning
ACL 2022
RKHS-SHAP: Shapley Values for Kernel Methods
NeurIPS 2022
Scalable Interpretability via Polynomials
NeurIPS 2022
Scaling Up Influence Functions
AAAI 2022
SkinCon: A skin disease dataset densely annotated by domain experts for fine-grained debugging and analysis
NeurIPS 2022
Sparse Interaction Additive Networks via Feature Interaction Detection and Sparse Selection
NeurIPS 2022
Sufficient Reasons for Classifier Decisions in the Presence of Domain Constraints
AAAI 2022
Supervising Model Attention with Human Explanations for Robust Natural Language Inference
AAAI 2022