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Artificial Intelligence
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Interpretability
7,318 papers
Papers per year
2003: 1
2006: 1
2007: 1
2008: 1
2009: 1
2010: 5
2012: 2
2013: 10
2014: 7
2015: 14
2016: 27
2017: 84
2018: 196
2019: 395
2020: 488
2021: 771
2022: 823
2023: 954
2024: 1360
2025: 1713
2026: 464
Papers
i3Deep: Efficient 3D interactive segmentation with the nnU-Net
MIDL 2022
Orientation Estimation of Abdominal Ultrasound Images with Multi-Hypotheses Networks
MIDL 2022
Improving Explainability of Disentangled Representations using Multipath-Attribution Mappings
MIDL 2022
Interpretable Prediction of Lung Squamous Cell Carcinoma Recurrence With Self-supervised Learning
MIDL 2022
Unified Auto Clinical Scoring (Uni-ACS) with Interpretable ML models
MLHC 2022
A Multi Instance Learning Approach for Critical View of Safety Detection in Laparoscopic Cholecystectomy
MLHC 2022
Learning Optimal Summaries of Clinical Time-series with Concept Bottleneck Models
MLHC 2022
Evaluating Uncertainty-Based Deep Learning Explanations for Prostate Lesion Detection
MLHC 2022
Do Deep Neural Nets Display Human-like Attention in Short Answer Scoring?
NAACL 2022
GlobEnc: Quantifying Global Token Attribution by Incorporating the Whole Encoder Layer in Transformers
NAACL 2022
Deconstructing NLG Evaluation: Evaluation Practices, Assumptions, and Their Implications
NAACL 2022
Explaining Toxic Text via Knowledge Enhanced Text Generation
NAACL 2022
Probing via Prompting
NAACL 2022
Same Neurons, Different Languages: Probing Morphosyntax in Multilingual Pre-trained Models
NAACL 2022
Implicit n-grams Induced by Recurrence
NAACL 2022
RSTGen: Imbuing Fine-Grained Interpretable Control into Long-FormText Generators
NAACL 2022
On the Diversity and Limits of Human Explanations
NAACL 2022
Locally Aggregated Feature Attribution on Natural Language Model Understanding
NAACL 2022
Towards Understanding Large-Scale Discourse Structures in Pre-Trained and Fine-Tuned Language Models
NAACL 2022
SAIS: Supervising and Augmenting Intermediate Steps for Document-Level Relation Extraction
NAACL 2022
Necessity and Sufficiency for Explaining Text Classifiers: A Case Study in Hate Speech Detection
NAACL 2022
Interpretable Proof Generation via Iterative Backward Reasoning
NAACL 2022
Incorporating Centering Theory into Neural Coreference Resolution
NAACL 2022
Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis
NAACL 2022
Analyzing Encoded Concepts in Transformer Language Models
NAACL 2022
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