| Reflash Dropout in Image Super-Resolution | Dec 22, 2021 | Common Sense ReasoningImage Super-Resolution | CodeCode Available | 1 | 5 |
| Attribution Preservation in Network Compression for Reliable Network Interpretation | Oct 28, 2020 | Edge-computingNetwork Interpretation | CodeCode Available | 1 | 5 |
| DeepEverest: Accelerating Declarative Top-K Queries for Deep Neural Network Interpretation | Apr 6, 2021 | Network Interpretation | CodeCode Available | 1 | 5 |
| Proper Network Interpretability Helps Adversarial Robustness in Classification | Jun 26, 2020 | Adversarial RobustnessClassification | CodeCode Available | 1 | 5 |
| Towards More Robust Interpretation via Local Gradient Alignment | Nov 29, 2022 | Computational EfficiencyNetwork Interpretation | CodeCode Available | 0 | 5 |
| An Empirical Study on the Relation between Network Interpretability and Adversarial Robustness | Dec 7, 2019 | Adversarial RobustnessImage Classification | CodeCode Available | 0 | 5 |
| Fooling Neural Network Interpretations via Adversarial Model Manipulation | Feb 6, 2019 | modelNetwork Interpretation | CodeCode Available | 0 | 5 |
| Perturbation on Feature Coalition: Towards Interpretable Deep Neural Networks | Aug 23, 2024 | Network Interpretation | CodeCode Available | 0 | 5 |
| Plug-and-Play VQA: Zero-shot VQA by Conjoining Large Pretrained Models with Zero Training | Oct 17, 2022 | Image CaptioningNetwork Interpretation | CodeCode Available | 0 | 5 |
| Interpretable Neural Network Decoupling | Jun 4, 2019 | Network Interpretation | —Unverified | 0 | 0 |
