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Adversarial Learning

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Adversarial Semantic Decoupling for Recognizing Open-Vocabulary Slots EMNLP 2020
Paraphrase Generation via Adversarial Penalizations EMNLP 2020
Adversarial Grammatical Error Correction EMNLP 2020
A Reinforced Generation of Adversarial Examples for Neural Machine Translation ACL 2020
Counterfactual Vision-and-Language Navigation: Unravelling the Unseen NIPS 2020
Sampling-Decomposable Generative Adversarial Recommender NIPS 2020
Lipschitz Bounds and Provably Robust Training by Laplacian Smoothing NIPS 2020
Adversarially Robust Streaming Algorithms via Differential Privacy NIPS 2020
Provably Efficient Neural Estimation of Structural Equation Models: An Adversarial Approach NIPS 2020
Attentive Adversarial Network for Large-Scale Sleep Staging MLHC 2020
ColdGANs: Taming Language GANs with Cautious Sampling Strategies NIPS 2020
f-GAIL: Learning f-Divergence for Generative Adversarial Imitation Learning NIPS 2020
TBT: Targeted Neural Network Attack With Bit Trojan CVPR 2020
Adversarial Soft Advantage Fitting: Imitation Learning without Policy Optimization NIPS 2020
Model-based Adversarial Meta-Reinforcement Learning NIPS 2020
Robust Reinforcement Learning via Adversarial training with Langevin Dynamics NIPS 2020
FEVER Breaker’s Run of Team NbAuzDrLqg EMNLP 2019
Learning Rhyming Constraints using Structured Adversaries EMNLP 2019
Generalized No Free Lunch Theorem for Adversarial Robustness ICML 2019
UM-Adapt: Unsupervised Multi-Task Adaptation Using Adversarial Cross-Task Distillation ICCV 2019
Self-supervised GAN: Analysis and Improvement with Multi-class Minimax Game NIPS 2019
Cross-Modal Learning with Adversarial Samples NIPS 2019
Learning to Jointly Generate and Separate Reflections ICCV 2019
MarginGAN: Adversarial Training in Semi-Supervised Learning NIPS 2019
A Fourier Perspective on Model Robustness in Computer Vision NIPS 2019