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Adversarial Learning

4854 directly classified papers

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Papers

Assessing the Tolerance of Neural Machine Translation Systems Against Speech Recognition Errors INTERSPEECH 2017
Multimodal Storytelling via Generative Adversarial Imitation Learning IJCAI 2017
Domain Adaptation for Relation Extraction with Domain Adversarial Neural Network IJCNLP 2017
Triangle Generative Adversarial Networks NIPS 2017
Learning From Simulated and Unsupervised Images Through Adversarial Training CVPR 2017
Adversarial Discriminative Domain Adaptation CVPR 2017
Identifying Unreliable and Adversarial Workers in Crowdsourced Labeling Tasks JMLR 2017
Generating steganographic images via adversarial training NIPS 2017
Trainable Greedy Decoding for Neural Machine Translation EMNLP 2017
Part-of-Speech Tagging for Twitter with Adversarial Neural Networks EMNLP 2017
Tactics of Adversarial Attack on Deep Reinforcement Learning Agents IJCAI 2017
Generating the Future With Adversarial Transformers CVPR 2017
Adversarially Tuned Scene Generation CVPR 2017
Expecting the Unexpected: Training Detectors for Unusual Pedestrians With Adversarial Imposters CVPR 2017
Reconstructing perceived faces from brain activations with deep adversarial neural decoding NIPS 2017
McGan: Mean and Covariance Feature Matching GAN ICML 2017
Best of Both Worlds: Transferring Knowledge from Discriminative Learning to a Generative Visual Dialog Model NIPS 2017
Robust Optimization for Non-Convex Objectives NIPS 2017
Reconstruct & Crush Network NIPS 2017
Formal Guarantees on the Robustness of a Classifier against Adversarial Manipulation NIPS 2017
Backstitch: Counteracting Finite-Sample Bias via Negative Steps INTERSPEECH 2017
GibbsNet: Iterative Adversarial Inference for Deep Graphical Models NIPS 2017
Adversarial Training for Relation Extraction EMNLP 2017
AdaGAN: Boosting Generative Models NIPS 2017
Controllable Invariance through Adversarial Feature Learning NIPS 2017