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Interpretability

7,318 papers

Papers per year

Papers

Preventing Arbitrarily High Confidence on Far-Away Data in Point-Estimated Discriminative Neural Networks AISTATS 2024
Fixed-kinetic Neural Hamiltonian Flows for enhanced interpretability and reduced complexity AISTATS 2024
How does GPT-2 Predict Acronyms? Extracting and Understanding a Circuit via Mechanistic Interpretability AISTATS 2024
Interpretable Causal Inference for Analyzing Wearable, Sensor, and Distributional Data AISTATS 2024
SVARM-IQ: Efficient Approximation of Any-order Shapley Interactions through Stratification AISTATS 2024
Shape Arithmetic Expressions: Advancing Scientific Discovery Beyond Closed-Form Equations AISTATS 2024
Manifold-Aligned Counterfactual Explanations for Neural Networks AISTATS 2024
Towards a Complete Benchmark on Video Moment Localization AISTATS 2024
The Effective Number of Shared Dimensions Between Paired Datasets AISTATS 2024
Two Birds with One Stone: Enhancing Uncertainty Quantification and Interpretability with Graph Functional Neural Process AISTATS 2024
Pathwise Explanation of ReLU Neural Networks AISTATS 2024
Towards Generalizable and Interpretable Motion Prediction: A Deep Variational Bayes Approach AISTATS 2024
Partially Interpretable Models with Guarantees on Coverage and Accuracy ALT 2024
Causal State Distillation for Explainable Reinforcement Learning CLEAR 2024
Finding Alignments Between Interpretable Causal Variables and Distributed Neural Representations CLEAR 2024
On the Impact of Neighbourhood Sampling to Satisfy Sufficiency and Necessity Criteria in Explainable AI CLEAR 2024
DiConStruct: Causal Concept-based Explanations through Black-Box Distillation CLEAR 2024
The PetShop Dataset — Finding Causes of Performance Issues across Microservices CLEAR 2024
A Construction Grammar Corpus of Varying Schematicity: A Dataset for the Evaluation of Abstractions in Language Models COLING 2024
A Differentiable Integer Linear Programming Solver for Explanation-Based Natural Language Inference COLING 2024
Analyzing Chain-of-thought Prompting in Black-Box Large Language Models via Estimated V-information COLING 2024
Analyzing Interpretability of Summarization Model with Eye-gaze Information COLING 2024
Annotation and Classification of Relevant Clauses in Terms-and-Conditions Contracts COLING 2024
A Self-verified Method for Exploring Simile Knowledge from Pre-trained Language Models COLING 2024
A Study on How Attention Scores in the BERT Model Are Aware of Lexical Categories in Syntactic and Semantic Tasks on the GLUE Benchmark COLING 2024