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Adversarial Learning

4854 directly classified papers

Papers per year

Papers

Assessing the Tolerance of Neural Machine Translation Systems Against Speech Recognition Errors INTERSPEECH 2017
Part-of-Speech Tagging for Twitter with Adversarial Neural Networks EMNLP 2017
Scribbler: Controlling Deep Image Synthesis With Sketch and Color CVPR 2017
Multimodal Storytelling via Generative Adversarial Imitation Learning IJCAI 2017
Universal Adversarial Perturbations CVPR 2017
Trainable Greedy Decoding for Neural Machine Translation EMNLP 2017
Adversarial Auto-Encoders for Speech Based Emotion Recognition INTERSPEECH 2017
Adversarial Symmetric Variational Autoencoder NIPS 2017
Adversarial Training for Unsupervised Bilingual Lexicon Induction ACL 2017
A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection CVPR 2017
Expecting the Unexpected: Training Detectors for Unusual Pedestrians With Adversarial Imposters CVPR 2017
Gradient descent GAN optimization is locally stable NIPS 2017
GibbsNet: Iterative Adversarial Inference for Deep Graphical Models NIPS 2017
Identifying Unreliable and Adversarial Workers in Crowdsourced Labeling Tasks JMLR 2017
Tactics of Adversarial Attack on Deep Reinforcement Learning Agents IJCAI 2017
Measuring Neural Net Robustness with Constraints NIPS 2016
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets NIPS 2016
Blind Attacks on Machine Learners NIPS 2016
Efficient Algorithms for Adversarial Contextual Learning ICML 2016
Refined Lower Bounds for Adversarial Bandits NIPS 2016
Professor Forcing: A New Algorithm for Training Recurrent Networks NIPS 2016
Adversarial Multi-Task Learning of Deep Neural Networks for Robust Speech Recognition INTERSPEECH 2016
Domain-Adversarial Training of Neural Networks JMLR 2016
Minimizing the Maximal Loss: How and Why ICML 2016
Avoiding Imposters and Delinquents: Adversarial Crowdsourcing and Peer Prediction NIPS 2016