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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
Interpretable3D: An Ad-Hoc Interpretable Classifier for 3D Point Clouds
AAAI 2024
Knowledge-Aware Neuron Interpretation for Scene Classification
AAAI 2024
PICNN: A Pathway towards Interpretable Convolutional Neural Networks
AAAI 2024
Rethinking Robustness of Model Attributions
AAAI 2024
Towards More Faithful Natural Language Explanation Using Multi-Level Contrastive Learning in VQA
AAAI 2024
ViTree: Single-Path Neural Tree for Step-Wise Interpretable Fine-Grained Visual Categorization
AAAI 2024
Uncertainty-Aware GAN for Single Image Super Resolution
AAAI 2024
TETRIS: Towards Exploring the Robustness of Interactive Segmentation
AAAI 2024
Adversarial Attacks on the Interpretation of Neuron Activation Maximization
AAAI 2024
NeSyFOLD: A Framework for Interpretable Image Classification
AAAI 2024
Empowering CAM-Based Methods with Capability to Generate Fine-Grained and High-Faithfulness Explanations
AAAI 2024
Integrated Decision Gradients: Compute Your Attributions Where the Model Makes Its Decision
AAAI 2024
Keep the Faith: Faithful Explanations in Convolutional Neural Networks for Case-Based Reasoning
AAAI 2024
A Convolutional Neural Network Interpretable Framework for Human Ventral Visual Pathway Representation
AAAI 2024
Enhance Sketch Recognition’s Explainability via Semantic Component-Level Parsing
AAAI 2024
Parallel Empirical Evaluations: Resilience despite Concurrency
AAAI 2024
End-to-End Verification for Subgraph Solving
AAAI 2024
Unveiling Implicit Deceptive Patterns in Multi-Modal Fake News via Neuro-Symbolic Reasoning
AAAI 2024
Knowledge-Aware Explainable Reciprocal Recommendation
AAAI 2024
Full Bayesian Significance Testing for Neural Networks
AAAI 2024
Finding Interpretable Class-Specific Patterns through Efficient Neural Search
AAAI 2024
Explainable Origin-Destination Crowd Flow Interpolation via Variational Multi-Modal Recurrent Graph Auto-Encoder
AAAI 2024
Explaining Reinforcement Learning Agents through Counterfactual Action Outcomes
AAAI 2024
Decoding AI’s Nudge: A Unified Framework to Predict Human Behavior in AI-Assisted Decision Making
AAAI 2024
‘Why Didn’t You Allocate This Task to Them?’ Negotiation-Aware Task Allocation and Contrastive Explanation Generation
AAAI 2024
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