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Adversarial Learning

4,854 papers

Papers per year

Papers

Continual Machine Reading Comprehension via Uncertainty-aware Fixed Memory and Adversarial Domain Adaptation NAACL 2022
Detect Rumors in Microblog Posts for Low-Resource Domains via Adversarial Contrastive Learning NAACL 2022
Resilience of Named Entity Recognition Models under Adversarial Attack NAACL 2022
Overconfidence in the Face of Ambiguity with Adversarial Data NAACL 2022
longhorns at DADC 2022: How many linguists does it take to fool a Question Answering model? A systematic approach to adversarial attacks. NAACL 2022
Collecting high-quality adversarial data for machine reading comprehension tasks with humans and models in the loop NAACL 2022
Adversarially Constructed Evaluation Sets Are More Challenging, but May Not Be Fair NAACL 2022
ZhichunRoad at SemEval-2022 Task 2: Adversarial Training and Contrastive Learning for Multiword Representations NAACL 2022
OCHADAI at SemEval-2022 Task 2: Adversarial Training for Multilingual Idiomaticity Detection NAACL 2022
GUTS at SemEval-2022 Task 4: Adversarial Training and Balancing Methods for Patronizing and Condescending Language Detection NAACL 2022
Amsqr at SemEval-2022 Task 4: Towards AutoNLP via Meta-Learning and Adversarial Data Augmentation for PCL Detection NAACL 2022
CASIA at SemEval-2022 Task 11: Chinese Named Entity Recognition for Complex and Ambiguous Entities NAACL 2022
How Does Data Corruption Affect Natural Language Understanding Models? A Study on GLUE datasets NAACL 2022
Separating Hate Speech and Offensive Language Classes via Adversarial Debiasing NAACL 2022
Evolutive Adversarially-Trained Bayesian Network Autoencoder for Interpretable Anomaly Detection PGM 2022
ZhichunRoad at SemEval-2022 Task 2: Adversarial Training and Contrastive Learning for Multiword Representations SEMEVAL 2022
OCHADAI at SemEval-2022 Task 2: Adversarial Training for Multilingual Idiomaticity Detection SEMEVAL 2022
GUTS at SemEval-2022 Task 4: Adversarial Training and Balancing Methods for Patronizing and Condescending Language Detection SEMEVAL 2022
Amsqr at SemEval-2022 Task 4: Towards AutoNLP via Meta-Learning and Adversarial Data Augmentation for PCL Detection SEMEVAL 2022
Efficient and transferable adversarial examples from bayesian neural networks UAI 2022
On the effectiveness of adversarial training against common corruptions UAI 2022
Perturbation type categorization for multiple adversarial perturbation robustness UAI 2022
CounteRGAN: Generating counterfactuals for real-time recourse and interpretability using residual GANs UAI 2022
Detecting textual adversarial examples through randomized substitution and vote UAI 2022
Robust textual embedding against word-level adversarial attacks UAI 2022