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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
Efficient Tactile Simulation with Differentiability for Robotic Manipulation
CORL 2022
Concept Learning for Interpretable Multi-Agent Reinforcement Learning
CORL 2022
QuaDUE-CCM: Interpretable Distributional Reinforcement Learning using Uncertain Contraction Metrics for Precise Quadrotor Trajectory Tracking
CORL 2022
Logic Rule Guided Attribution with Dynamic Ablation
AAAI 2022
Backdoor Attacks on the DNN Interpretation System
AAAI 2022
Model Doctor: A Simple Gradient Aggregation Strategy for Diagnosing and Treating CNN Classifiers
AAAI 2022
Latent Space Explanation by Intervention
AAAI 2022
An Unsupervised Way to Understand Artifact Generating Internal Units in Generative Neural Networks
AAAI 2022
Interpretable Generative Adversarial Networks
AAAI 2022
Deconfounding Physical Dynamics with Global Causal Relation and Confounder Transmission for Counterfactual Prediction
AAAI 2022
Explainable Survival Analysis with Convolution-Involved Vision Transformer
AAAI 2022
Social Interpretable Tree for Pedestrian Trajectory Prediction
AAAI 2022
Privacy-Preserving Face Recognition in the Frequency Domain
AAAI 2022
Optimizing Binary Decision Diagrams with MaxSAT for Classification
AAAI 2022
Using MaxSAT for Efficient Explanations of Tree Ensembles
AAAI 2022
TextHoaxer: Budgeted Hard-Label Adversarial Attacks on Text
AAAI 2022
How to Find a Good Explanation for Clustering?
AAAI 2022
TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs
AAAI 2022
Discovering Interpretable Data-to-Sequence Generators
AAAI 2022
Deepfake Network Architecture Attribution
AAAI 2022
Explain, Edit, and Understand: Rethinking User Study Design for Evaluating Model Explanations
AAAI 2022
FOCUS: Flexible Optimizable Counterfactual Explanations for Tree Ensembles
AAAI 2022
DeepVisualInsight: Time-Travelling Visualization for Spatio-Temporal Causality of Deep Classification Training
AAAI 2022
Trading Complexity for Sparsity in Random Forest Explanations
AAAI 2022
Monotone Abstractions in Ontology-Based Data Management
AAAI 2022
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