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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
Robust Code Summarization
EMNLP 2023
Legal Judgment Prediction: If You Are Going to Do It, Do It Right
EMNLP 2023
Using Captum to Explain Generative Language Models
EMNLP 2023
Towards Explainable and Accessible AI
EMNLP 2023
Towards Effective Disambiguation for Machine Translation with Large Language Models
EMNLP 2023
Automating Behavioral Testing in Machine Translation
EMNLP 2023
CAME: Contrastive Automated Model Evaluation
ICCV 2023
Studying How to Efficiently and Effectively Guide Models with Explanations
ICCV 2023
Adaptive Testing of Computer Vision Models
ICCV 2023
LEA2: A Lightweight Ensemble Adversarial Attack via Non-overlapping Vulnerable Frequency Regions
ICCV 2023
Adaptive Calibrator Ensemble: Navigating Test Set Difficulty in Out-of-Distribution Scenarios
ICCV 2023
Visual Explanations via Iterated Integrated Attributions
ICCV 2023
Surface Extraction from Neural Unsigned Distance Fields
ICCV 2023
Distilled Reverse Attention Network for Open-world Compositional Zero-Shot Learning
ICCV 2023
Toward Multi-Granularity Decision-Making: Explicit Visual Reasoning with Hierarchical Knowledge
ICCV 2023
Beyond Single Path Integrated Gradients for Reliable Input Attribution via Randomized Path Sampling
ICCV 2023
Corrupting Neuron Explanations of Deep Visual Features
ICCV 2023
ModelGiF: Gradient Fields for Model Functional Distance
ICCV 2023
TIFA: Accurate and Interpretable Text-to-Image Faithfulness Evaluation with Question Answering
ICCV 2023
Towards Improved Input Masking for Convolutional Neural Networks
ICCV 2023
ICICLE: Interpretable Class Incremental Continual Learning
ICCV 2023
MoreauGrad: Sparse and Robust Interpretation of Neural Networks via Moreau Envelope
ICCV 2023
Learning to Identify Critical States for Reinforcement Learning from Videos
ICCV 2023
Towards Realistic Evaluation of Industrial Continual Learning Scenarios with an Emphasis on Energy Consumption and Computational Footprint
ICCV 2023
VLSlice: Interactive Vision-and-Language Slice Discovery
ICCV 2023
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