| Attribution Preservation in Network Compression for Reliable Network Interpretation | Oct 28, 2020 | Edge-computingNetwork Interpretation | CodeCode Available | 1 |
| DeepEverest: Accelerating Declarative Top-K Queries for Deep Neural Network Interpretation | Apr 6, 2021 | Network Interpretation | CodeCode Available | 1 |
| Proper Network Interpretability Helps Adversarial Robustness in Classification | Jun 26, 2020 | Adversarial RobustnessClassification | CodeCode Available | 1 |
| Reflash Dropout in Image Super-Resolution | Dec 22, 2021 | Common Sense ReasoningImage Super-Resolution | CodeCode Available | 1 |
| Evaluation, Tuning and Interpretation of Neural Networks for Meteorological Applications | May 6, 2020 | General Classificationimage-classification | —Unverified | 0 |
| Latent Map Gaussian Processes for Mixed Variable Metamodeling | Feb 7, 2021 | Bayesian OptimizationGaussian Processes | —Unverified | 0 |
| Neural network interpretation using descrambler groups | Dec 2, 2019 | Network Interpretation | —Unverified | 0 |
| Semantic Network Interpretation | May 23, 2018 | Network InterpretationSentence | —Unverified | 0 |
| Towards Faithful and Consistent Explanations for Graph Neural Networks | May 27, 2022 | Inductive BiasNetwork Interpretation | —Unverified | 0 |
| On Interpretability of Deep Learning based Skin Lesion Classifiers using Concept Activation Vectors | May 5, 2020 | Decision Makingimage-classification | —Unverified | 0 |
| YASENN: Explaining Neural Networks via Partitioning Activation Sequences | Nov 7, 2018 | Interpretable Machine LearningNetwork Interpretation | —Unverified | 0 |
| A Trainable Multiplication Layer for Auto-correlation and Co-occurrence Extraction | May 30, 2019 | Network Interpretation | —Unverified | 0 |
| Bloch Equation Enables Physics-informed Neural Network in Parametric Magnetic Resonance Imaging | Sep 21, 2023 | Network Interpretationparameter estimation | —Unverified | 0 |
| Interpretable Neural Network Decoupling | Jun 4, 2019 | Network Interpretation | —Unverified | 0 |
| Seeing Convolution Through the Eyes of Finite Transformation Semigroup Theory: An Abstract Algebraic Interpretation of Convolutional Neural Networks | May 26, 2019 | Network Interpretation | —Unverified | 0 |
| Fooling Network Interpretation in Image Classification | Dec 6, 2018 | Adversarial AttackClassification | —Unverified | 0 |
| Unsupervised Graph Attention Autoencoder for Attributed Networks using K-means Loss | Nov 21, 2023 | AttributeClustering | —Unverified | 0 |
| VisGraphNet: a complex network interpretation of convolutional neural features | Aug 27, 2021 | ClassificationNetwork Interpretation | —Unverified | 0 |
| A brain-inspired generative model for EEG-based cognitive state identification | May 3, 2025 | EEGNetwork Interpretation | —Unverified | 0 |
| Physically Interpretable Neural Networks for the Geosciences: Applications to Earth System Variability | Dec 4, 2019 | Network Interpretation | —Unverified | 0 |
| Rank Projection Trees for Multilevel Neural Network Interpretation | Dec 1, 2018 | Network Interpretation | —Unverified | 0 |
| Perturbation on Feature Coalition: Towards Interpretable Deep Neural Networks | Aug 23, 2024 | Network Interpretation | CodeCode Available | 0 |
| An Empirical Study on the Relation between Network Interpretability and Adversarial Robustness | Dec 7, 2019 | Adversarial RobustnessImage Classification | CodeCode Available | 0 |
| Plug-and-Play VQA: Zero-shot VQA by Conjoining Large Pretrained Models with Zero Training | Oct 17, 2022 | Image CaptioningNetwork Interpretation | CodeCode Available | 0 |
| Fooling Neural Network Interpretations via Adversarial Model Manipulation | Feb 6, 2019 | modelNetwork Interpretation | CodeCode Available | 0 |
