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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
ASCENT-ViT: Attention-based Scale-aware Concept Learning Framework for Enhanced Alignment in Vision Transformers
IJCAI 2025
Explainable Graph Neural Networks via Structural Externalities
IJCAI 2025
GraphProt: Certified Black-Box Shielding Against Backdoored Graph Models
IJCAI 2025
Why the Agent Made that Decision: Contrastive Explanation Learning for Reinforcement Learning
IJCAI 2025
Self-calibration Enhanced Whole Slide Pathology Image Analysis
IJCAI 2025
TP-Eval: Tap Multimodal LLMs' Potential in Evaluation by Customizing Prompts
IJCAI 2025
RPMIL: Rethinking Uncertainty-Aware Probabilistic Multiple Instance Learning for Whole Slide Pathology Diagnosis
IJCAI 2025
CorrDetail: Visual Detail Enhanced Self-Correction for Face Forgery Detection
IJCAI 2025
DGExplainer: Explaining Dynamic Graph Neural Networks via Relevance Back-propagation
IJCAI 2025
Explainable Graph Representation Learning via Graph Pattern Analysis
IJCAI 2025
A Logic of General Attention Using Edge-Conditioned Event Models
IJCAI 2025
Circuit-Aware d-DNNF Compilation
IJCAI 2025
Rewarding Explainability in Drug Repurposing with Knowledge Graphs
IJCAI 2025
Verifying Quantized Graph Neural Networks is PSPACE-complete
IJCAI 2025
Witnesses for Answer Sets of Basic Logic Programs
IJCAI 2025
FGeo-HyperGNet: Geometric Problem Solving Integrating FormalGeo Symbolic System and Hypergraph Neural Network
IJCAI 2025
Grounding Methods for Neural-Symbolic AI
IJCAI 2025
Counterfactual Explanations for Continuous Action Reinforcement Learning
IJCAI 2025
Identifying Drivers of Predictive Aleatoric Uncertainty
IJCAI 2025
Learning to Explain: Towards Human-Aligned Explainability in Deep Reinforcement Learning via Attention Guidance
IJCAI 2025
A-I-RAVEN and I-RAVEN-Mesh: Two New Benchmarks for Abstract Visual Reasoning
IJCAI 2025
Rule-Guided Reinforcement Learning Policy Evaluation and Improvement
IJCAI 2025
Curriculum Abductive Learning for Mitigating Reasoning Shortcuts
IJCAI 2025
Run Like a Neural Network, Explain Like k-Nearest Neighbor
IJCAI 2025
Deduction with Induction: Combining Knowledge Discovery and Reasoning for Interpretable Deep Reinforcement Learning
IJCAI 2025
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