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Interpretability

7,318 papers

Papers per year

Papers

Interpretability and Fairness in Machine Learning: A Formal Methods Approach IJCAI 2023
Sample Efficient Paradigms for Personalized Assessment of Taskable AI Systems IJCAI 2023
Practical Model Reductions for Verification of Multi-Agent Systems IJCAI 2023
Delving into Evaluation Metrics for Generation: A Thorough Assessment of How Metrics Generalize to Rephrasing Across Languages IJCNLP 2023
Summary Cycles: Exploring the Impact of Prompt Engineering on Large Language Models’ Interaction with Interaction Log Information IJCNLP 2023
Exploring Prompting Large Language Models as Explainable Metrics IJCNLP 2023
DeePMOS: Deep Posterior Mean-Opinion-Score of Speech INTERSPEECH 2023
Automatic speaker recognition with variation across vocal conditions: a controlled experiment with implications for forensics INTERSPEECH 2023
Pragmatic Pertinence: A Learnable Confidence Metric to Assess the Subjective Quality of LM-Generated Text INTERSPEECH 2023
Towards Supporting an Early Diagnosis of Multiple Sclerosis using Vocal Features INTERSPEECH 2023
How ChatGPT is Robust for Spoken Language Understanding? INTERSPEECH 2023
Towards Reference Speech Characterization for Health Applications INTERSPEECH 2023
Acoustic cues to stress perception in Spanish – a mismatch negativity study INTERSPEECH 2023
Describing the phonetics in the underlying speech attributes for deep and interpretable speaker recognition INTERSPEECH 2023
A Novel Interpretable and Generalizable Re-synchronization Model for Cued Speech based on a Multi-Cuer Corpus INTERSPEECH 2023
Utility-Preserving Privacy-Enabled Speech Embeddings for Emotion Detection INTERSPEECH 2023
Node-weighted Graph Convolutional Network for Depression Detection in Transcribed Clinical Interviews INTERSPEECH 2023
Measuring Phonological Precision in Children with Cleft Lip and Palate INTERSPEECH 2023
Pardon my disfluency: The impact of disfluency effects on the perception of speaker competence and confidence INTERSPEECH 2023
Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural Network Explanations and Beyond JMLR 2023
On Batch Teaching Without Collusion JMLR 2023
On the Complexity of SHAP-Score-Based Explanations: Tractability via Knowledge Compilation and Non-Approximability Results JMLR 2023
Faith-Shap: The Faithful Shapley Interaction Index JMLR 2023
Interpretable and Fair Boolean Rule Sets via Column Generation JMLR 2023
ProtoryNet - Interpretable Text Classification Via Prototype Trajectories JMLR 2023