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← Core AI
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
Shaping Noise for Robust Attributions in Neural Stochastic Differential Equations
AAAI 2022
Unsupervised Causal Binary Concepts Discovery with VAE for Black-Box Model Explanation
AAAI 2022
Do Feature Attribution Methods Correctly Attribute Features?
AAAI 2022
PlanVerb: Domain-Independent Verbalization and Summary of Task Plans
AAAI 2022
Training-Free Uncertainty Estimation for Dense Regression: Sensitivity as a Surrogate
AAAI 2022
Planning with Explanations for Finding Desired Meeting Points on Graphs
AAAI 2022
Pinpointing Fine-Grained Relationships between Hateful Tweets and Replies
AAAI 2022
Diagnostics-Guided Explanation Generation
AAAI 2022
Adversarial Training for Improving Model Robustness? Look at Both Prediction and Interpretation
AAAI 2022
LOREN: Logic-Regularized Reasoning for Interpretable Fact Verification
AAAI 2022
Probing Linguistic Information for Logical Inference in Pre-trained Language Models
AAAI 2022
Flexible Instance-Specific Rationalization of NLP Models
AAAI 2022
Nice Perfume. How Long Did You Marinate in It? Multimodal Sarcasm Explanation
AAAI 2022
Span-Based Semantic Role Labeling with Argument Pruning and Second-Order Inference
AAAI 2022
Unifying Model Explainability and Robustness for Joint Text Classification and Rationale Extraction
AAAI 2022
Transformer Uncertainty Estimation with Hierarchical Stochastic Attention
AAAI 2022
Are Vision-Language Transformers Learning Multimodal Representations? A Probing Perspective
AAAI 2022
Supervising Model Attention with Human Explanations for Robust Natural Language Inference
AAAI 2022
Probing Word Syntactic Representations in the Brain by a Feature Elimination Method
AAAI 2022
Interpretable Low-Resource Legal Decision Making
AAAI 2022
Interpreting Gender Bias in Neural Machine Translation: Multilingual Architecture Matters
AAAI 2022
Evaluating Explainable AI on a Multi-Modal Medical Imaging Task: Can Existing Algorithms Fulfill Clinical Requirements?
AAAI 2022
Optimal Local Explainer Aggregation for Interpretable Prediction
AAAI 2022
Fair Conformal Predictors for Applications in Medical Imaging
AAAI 2022
LIMREF: Local Interpretable Model Agnostic Rule-Based Explanations for Forecasting, with an Application to Electricity Smart Meter Data
AAAI 2022
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