Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing
NAACL 2022 paper on Analyzing Modality Robustness in Multimodal Sentiment Analysis
Potential of 2D Priors for Improving Robustness of Ill-Posed 3D Reconstruction
[Elsevier Image and Vision Computing] How robust are discriminatively trained zero-shot learning models?
Official repository for the paper: "On Adversarial Training without Perturbing all Examples", Accepted at ICLR 2024
Analyzing and Improving the Robustness of Tabular Classifiers using Counterfactual Explanations
To verify and analyze classification properties of the neural networks when a small perturbation is applied to the image from MNIST, CIFAR-10 (and both with prepared Blured-Image) dataset.
Demonstration of robustness analysis for (multistage) adaptive optimization problems
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