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Robustness
529 directly classified papers
Papers per year
2006: 1
2010: 2
2011: 1
2012: 3
2013: 4
2014: 6
2015: 6
2016: 4
2017: 6
2018: 11
2019: 34
2020: 59
2021: 61
2022: 105
2023: 78
2024: 97
2025: 51
Papers
How Robust are the Estimated Effects of Nonpharmaceutical Interventions against COVID-19?
NIPS 2020
Reducing Adversarially Robust Learning to Non-Robust PAC Learning
NIPS 2020
Distributionally Robust Federated Averaging
NIPS 2020
Distributionally Robust Local Non-parametric Conditional Estimation
NIPS 2020
Robustness of Bayesian Neural Networks to Gradient-Based Attacks
NIPS 2020
Probably Approximately Correct Constrained Learning
NIPS 2020
Lipschitz-Certifiable Training with a Tight Outer Bound
NIPS 2020
Identifying Mislabeled Data using the Area Under the Margin Ranking
NIPS 2020
Task-Robust Model-Agnostic Meta-Learning
NIPS 2020
What’s in a Name? Are BERT Named Entity Representations just as Good for any other Name?
ACL 2020
Towards Robustifying NLI Models Against Lexical Dataset Biases
ACL 2020
End-to-End Bias Mitigation by Modelling Biases in Corpora
ACL 2020
Does Multi-Encoder Help? A Case Study on Context-Aware Neural Machine Translation
ACL 2020
On the Robustness of Language Encoders against Grammatical Errors
ACL 2020
Supervised Discovery of Unknown Unknowns through Test Sample Mining (Student Abstract)
AAAI 2020
Attribute Noise Robust Binary Classification (Student Abstract)
AAAI 2020
Recognizing Instagram Filtered Images with Feature De-Stylization
AAAI 2020
Identifying Model Weakness with Adversarial Examiner
AAAI 2020
Self-Supervised Learning for Generalizable Out-of-Distribution Detection
AAAI 2020
Robustness Certificates for Sparse Adversarial Attacks by Randomized Ablation
AAAI 2020
Stable Prediction with Model Misspecification and Agnostic Distribution Shift
AAAI 2020
Robust Federated Learning via Collaborative Machine Teaching
AAAI 2020
Regularized Training and Tight Certification for Randomized Smoothed Classifier with Provable Robustness
AAAI 2020
Seq2Sick: Evaluating the Robustness of Sequence-to-Sequence Models with Adversarial Examples
AAAI 2020
Efficient Verification of ReLU-Based Neural Networks via Dependency Analysis
AAAI 2020
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