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Adversarial Learning

4854 directly classified papers

Papers per year

Papers

Evaluating adversarial attacks against multiple fact verification systems EMNLP 2019
Adversarial Pseudo Healthy Synthesis Needs Pathology Factorization MIDL 2019
DUT-NLP at MEDIQA 2019: An Adversarial Multi-Task Network to Jointly Model Recognizing Question Entailment and Question Answering ACL 2019
Improving Mongolian-Chinese Neural Machine Translation with Morphological Noise ACL 2019
Combating Adversarial Misspellings with Robust Word Recognition ACL 2019
R3 Adversarial Network for Cross Model Face Recognition CVPR 2019
Inserting Videos Into Videos CVPR 2019
Adversarial Semantic Alignment for Improved Image Captions CVPR 2019
A Generative Adversarial Density Estimator CVPR 2019
Generating Fluent Adversarial Examples for Natural Languages ACL 2019
Robust Neural Machine Translation with Doubly Adversarial Inputs ACL 2019
Open-Domain Why-Question Answering with Adversarial Learning to Encode Answer Texts ACL 2019
Retrieval-Enhanced Adversarial Training for Neural Response Generation ACL 2019
Multi-Source Cross-Lingual Model Transfer: Learning What to Share ACL 2019
Avoiding Reasoning Shortcuts: Adversarial Evaluation, Training, and Model Development for Multi-Hop QA ACL 2019
Effective Adversarial Regularization for Neural Machine Translation ACL 2019
Multi-turn Dialogue Response Generation in an Adversarial Learning Framework ACL 2019
Differentiable Game Mechanics JMLR 2019
WarpGAN: Automatic Caricature Generation CVPR 2019
Pay Attention! - Robustifying a Deep Visuomotor Policy Through Task-Focused Visual Attention CVPR 2019
Knowing When to Stop: Evaluation and Verification of Conformity to Output-Size Specifications CVPR 2019
R2GAN: Cross-Modal Recipe Retrieval With Generative Adversarial Network CVPR 2019
Learning Not to Learn: Training Deep Neural Networks With Biased Data CVPR 2019
DS at SemEval-2019 Task 9: From Suggestion Mining with neural networks to adversarial cross-domain classification SEMEVAL 2019
VERI-Wild: A Large Dataset and a New Method for Vehicle Re-Identification in the Wild CVPR 2019