input perturbation

Tackling covariate shift with node-based Bayesian neural networks ICML 2022 Addressing the Vulnerability of NMT in Input Perturbations NAACL 2021 Evaluating the Robustness of Neural Language Models to Input Perturbations EMNLP 2021 Influence Decompositions For Neural Network Attribution AISTATS 2021 Overcoming the Convex Barrier for Simplex Inputs NeurIPS 2021 Perturbing Inputs for Fragile Interpretations in Deep Natural Language Processing EMNLP 2021 Evaluating Robustness to Input Perturbations for Neural Machine Translation ACL 2020 Towards Verifying Robustness of Neural Networks Against A Family of Semantic Perturbations CVPR 2020 Explanations can be manipulated and geometry is to blame NeurIPS 2019 Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks ICLR 2018 Pathologies of Neural Models Make Interpretations Difficult EMNLP 2018 Sensitivity and Generalization in Neural Networks: an Empirical Study ICLR 2018 Towards Robust Neural Machine Translation ACL 2018