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Interpretability

8,292 papers

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Papers

On Learning Deep O(n)-Equivariant Hyperspheres ICML 2024 Observable Propagation: Uncovering Feature Vectors in Transformers ICML 2024 Occam’s Razor and Bender and Koller’s Octopus ACL 2024 Occlusion Sensitivity Analysis With Augmentation Subspace Perturbation in Deep Feature Space WACV 2024 ODE Discovery for Longitudinal Heterogeneous Treatment Effects Inference ICLR 2024 ODIM: Outlier Detection via Likelihood of Under-Fitted Generative Models ICML 2024 OffsetBias: Leveraging Debiased Data for Tuning Evaluators EMNLP 2024 Of Models and Men: Probing Neural Networks for Agreement Attraction with Psycholinguistic Data CoNLL 2024 OlympicArena: Benchmarking Multi-discipline Cognitive Reasoning for Superintelligent AI NeurIPS 2024 On Evaluating Explanation Utility for Human-AI Decision Making in NLP EMNLP 2024 On Gradient-like Explanation under a Black-box Setting: When Black-box Explanations Become as Good as White-box ICML 2024 On Large Language Models’ Hallucination with Regard to Known Facts NAACL 2024 On Measuring Faithfulness or Self-consistency of Natural Language Explanations ACL 2024 On Mechanistic Knowledge Localization in Text-to-Image Generative Models ICML 2024 On Spectral Properties of Gradient-based Explanation Methods ECCV 2024 On the Calibration of Human Pose Estimation ICML 2024 On the Concept Trustworthiness in Concept Bottleneck Models AAAI 2024 On the Faithfulness of Vision Transformer Explanations CVPR 2024 On the generalization capacity of neural networks during generic multimodal reasoning ICLR 2024 On the Humanity of Conversational AI: Evaluating the Psychological Portrayal of LLMs ICLR 2024 On the Impact of Neighbourhood Sampling to Satisfy Sufficiency and Necessity Criteria in Explainable AI CLeaR 2024 On the Importance of Application-Grounded Experimental Design for Evaluating Explainable ML Methods AAAI 2024 On the Interplay between Fairness and Explainability NAACL 2024 On the Interpretability of Deep Learning Models for Collaborative Argumentation Analysis in Classrooms ACL 2024 On the Maximal Local Disparity of Fairness-Aware Classifiers ICML 2024