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Interpretability
7318 directly classified 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
Towards Trustworthy Multimodal AI Systems
AAAI 2026
A Fortiori Case-Based Reasoning: From Theory to Data (Abstract Reprint)
AAAI 2026
Life, Machine Learning, and the Search for Habitability: Predicting Biosignature Fluxes for the Habitable Worlds Observatory
AAAI 2026
Automated Unified Reasoning with Vision-Language Models for Multi-modal Burn Assessment
AAAI 2026
Test Time Adaptation Using Adaptive Quantile Recalibration
WACV 2026
ConsensusXAI: A Framework to Examine Class-wise Agreement in Medical Imaging
WACV 2026
LASOR: Towards Clinically Transparent and Explainable Ophthalmic Report Generation via Lesion-Aware Segmentation
WACV 2026
IMPACT: Interpretable Most Important Person Analysis and Classification using Transformer-based Models
WACV 2026
Towards Reliable Test-Time Adaptation: Style Invariance as a Correctness Likelihood
WACV 2026
VLMs Guided Interpretable Decision Making in Autonomous Driving
WACV 2026
CAAC: Confidence-Aware Attention Calibration to Reduce Hallucinations in Large Vision-Language Models
WACV 2026
SAVE: Sparse Autoencoder-Driven Visual Information Enhancement for Mitigating Object Hallucination
WACV 2026
Digital Forensic AI You Can Explain: A Case Study on Video Source Camera Identification
WACV 2026
TaxonRL: Reinforcement Learning with Intermediate Rewards for Interpretable Fine-Grained Visual Reasoning
WACV 2026
MUSE: Model-based Uncertainty-aware Similarity Estimation for zero-shot 2D Object Detection and Segmentation
WACV 2026
AD2: Analysis and Detection of Adversarial Threats in Visual Perception for End-to-End Autonomous Driving Systems
WACV 2026
Where is the Watermark? Interpretable Watermark Detection at the Block Level
WACV 2026
AuthGuard: Generalizable Deepfake Detection via Language Guidance
WACV 2026
SceneProp: Combining Neural Network and Markov Random Field for Scene-Graph Grounding
WACV 2026
SSplain: Sparse and Smooth Explainer for Retinopathy of Prematurity Classification
WACV 2026
Understanding the Visual Projection Space of Multimodal LLMs
WACV 2026
The Perceptual Observatory Characterizing Robustness and Grounding in MLLMs
WACV 2026
Safe Vision-Language Models via Unsafe Weights Manipulation
WACV 2026
Contrastive Integrated Gradients: A Feature Attribution-Based Method for Explaining Whole Slide Image Classification
WACV 2026
Trustworthy AI-Assisted Programming: Detection and Repair of Unreliable Code
AAAI 2026
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