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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
Learning Concise and Descriptive Attributes for Visual Recognition
ICCV 2023
Hierarchical Visual Categories Modeling: A Joint Representation Learning and Density Estimation Framework for Out-of-Distribution Detection
ICCV 2023
Tree-Structured Shading Decomposition
ICCV 2023
Householder Projector for Unsupervised Latent Semantics Discovery
ICCV 2023
Thinking Image Color Aesthetics Assessment: Models, Datasets and Benchmarks
ICCV 2023
Evaluation and Improvement of Interpretability for Self-Explainable Part-Prototype Networks
ICCV 2023
FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI Methods
ICCV 2023
Counterfactual-based Saliency Map: Towards Visual Contrastive Explanations for Neural Networks
ICCV 2023
IIEU: Rethinking Neural Feature Activation from Decision-Making
ICCV 2023
ViperGPT: Visual Inference via Python Execution for Reasoning
ICCV 2023
Probabilistic Modeling of Inter- and Intra-observer Variability in Medical Image Segmentation
ICCV 2023
Reinforced Disentanglement for Face Swapping without Skip Connection
ICCV 2023
X-VoE: Measuring eXplanatory Violation of Expectation in Physical Events
ICCV 2023
MAGI: Multi-Annotated Explanation-Guided Learning
ICCV 2023
SAFARI: Versatile and Efficient Evaluations for Robustness of Interpretability
ICCV 2023
VQA-GNN: Reasoning with Multimodal Knowledge via Graph Neural Networks for Visual Question Answering
ICCV 2023
BNN-DP: Robustness Certification of Bayesian Neural Networks via Dynamic Programming
ICML 2023
Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and Detection
ICML 2023
On the Functional Similarity of Robust and Non-Robust Neural Representations
ICML 2023
Interpretable Neural-Symbolic Concept Reasoning
ICML 2023
Explaining Reinforcement Learning with Shapley Values
ICML 2023
Robust One-Class Classification with Signed Distance Function using 1-Lipschitz Neural Networks
ICML 2023
Beyond the Universal Law of Robustness: Sharper Laws for Random Features and Neural Tangent Kernels
ICML 2023
HarsanyiNet: Computing Accurate Shapley Values in a Single Forward Propagation
ICML 2023
Identification of the Adversary from a Single Adversarial Example
ICML 2023
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