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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
PINA: Learning a Personalized Implicit Neural Avatar From a Single RGB-D Video Sequence
CVPR 2022
OccAM's Laser: Occlusion-Based Attribution Maps for 3D Object Detectors on LiDAR Data
CVPR 2022
Frequency-Driven Imperceptible Adversarial Attack on Semantic Similarity
CVPR 2022
Cycle-Consistent Counterfactuals by Latent Transformations
CVPR 2022
Attributable Visual Similarity Learning
CVPR 2022
Texture-Based Error Analysis for Image Super-Resolution
CVPR 2022
Adversarial Parametric Pose Prior
CVPR 2022
Exposure Normalization and Compensation for Multiple-Exposure Correction
CVPR 2022
Complex Video Action Reasoning via Learnable Markov Logic Network
CVPR 2022
3D Common Corruptions and Data Augmentation
CVPR 2022
VL-InterpreT: An Interactive Visualization Tool for Interpreting Vision-Language Transformers
CVPR 2022
Protecting Celebrities From DeepFake With Identity Consistency Transformer
CVPR 2022
Transformer Feed-Forward Layers Build Predictions by Promoting Concepts in the Vocabulary Space
EMNLP 2022
Interpreting Language Models with Contrastive Explanations
EMNLP 2022
Robustness of Fusion-based Multimodal Classifiers to Cross-Modal Content Dilutions
EMNLP 2022
“Will You Find These Shortcuts?” A Protocol for Evaluating the Faithfulness of Input Salience Methods for Text Classification
EMNLP 2022
Deconfounding Legal Judgment Prediction for European Court of Human Rights Cases Towards Better Alignment with Experts
EMNLP 2022
Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations
EMNLP 2022
On the Transformation of Latent Space in Fine-Tuned NLP Models
EMNLP 2022
A Multilingual Perspective Towards the Evaluation of Attribution Methods in Natural Language Inference
EMNLP 2022
Enhancing Self-Consistency and Performance of Pre-Trained Language Models through Natural Language Inference
EMNLP 2022
Stop Measuring Calibration When Humans Disagree
EMNLP 2022
Are Hard Examples also Harder to Explain? A Study with Human and Model-Generated Explanations
EMNLP 2022
Gendered Mental Health Stigma in Masked Language Models
EMNLP 2022
Rich Knowledge Sources Bring Complex Knowledge Conflicts: Recalibrating Models to Reflect Conflicting Evidence
EMNLP 2022
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