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Artificial Intelligence
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Core AI
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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
Where and What? Examining Interpretable Disentangled Representations
CVPR 2021
Quantifying Explainers of Graph Neural Networks in Computational Pathology
CVPR 2021
Discovering Interpretable Latent Space Directions of GANs Beyond Binary Attributes
CVPR 2021
Convolutional Dynamic Alignment Networks for Interpretable Classifications
CVPR 2021
Neural Prototype Trees for Interpretable Fine-Grained Image Recognition
CVPR 2021
Learning Decision Trees Recurrently Through Communication
CVPR 2021
Understanding Failures of Deep Networks via Robust Feature Extraction
CVPR 2021
Physics-Based Iterative Projection Complex Neural Network for Phase Retrieval in Lensless Microscopy Imaging
CVPR 2021
Black-Box Explanation of Object Detectors via Saliency Maps
CVPR 2021
Explaining Classifiers Using Adversarial Perturbations on the Perceptual Ball
CVPR 2021
Telling BERT’s Full Story: from Local Attention to Global Aggregation
EACL 2021
On the Calibration and Uncertainty of Neural Learning to Rank Models for Conversational Search
EACL 2021
Does She Wink or Does She Nod? A Challenging Benchmark for Evaluating Word Understanding of Language Models
EACL 2021
Exploring Transitivity in Neural NLI Models through Veridicality
EACL 2021
Towards a Decomposable Metric for Explainable Evaluation of Text Generation from AMR
EACL 2021
Cross-Topic Rumor Detection using Topic-Mixtures
EACL 2021
Understanding Pre-Editing for Black-Box Neural Machine Translation
EACL 2021
What Sounds “Right” to Me? Experiential Factors in the Perception of Political Ideology
EACL 2021
How Certain is Your Transformer?
EACL 2021
Error Analysis and the Role of Morphology
EACL 2021
“Laughing at you or with you”: The Role of Sarcasm in Shaping the Disagreement Space
EACL 2021
Language Modelling as a Multi-Task Problem
EACL 2021
L2C: Describing Visual Differences Needs Semantic Understanding of Individuals
EACL 2021
A Study of Automatic Metrics for the Evaluation of Natural Language Explanations
EACL 2021
Exploiting Definitions for Frame Identification
EACL 2021
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