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Adversarial Learning

4854 directly classified papers

Papers per year

Papers

Unsupervised Text Style Transfer using Language Models as Discriminators NIPS 2018
Symmetric Variational Autoencoder and Connections to Adversarial Learning AISTATS 2018
Invariant Representations without Adversarial Training NIPS 2018
Formal Guarantees on the Robustness of a Classifier against Adversarial Manipulation NIPS 2017
Adversarial Ranking for Language Generation NIPS 2017
Adversarial Discriminative Domain Adaptation CVPR 2017
Trainable Greedy Decoding for Neural Machine Translation EMNLP 2017
Gradient descent GAN optimization is locally stable NIPS 2017
Learning From Simulated and Unsupervised Images Through Adversarial Training CVPR 2017
Adversarially Tuned Scene Generation CVPR 2017
Stabilizing Training of Generative Adversarial Networks through Regularization NIPS 2017
Adversarial Symmetric Variational Autoencoder NIPS 2017
Reconstructing perceived faces from brain activations with deep adversarial neural decoding NIPS 2017
Online Prediction with Selfish Experts NIPS 2017
Safety-Aware Algorithms for Adversarial Contextual Bandit ICML 2017
Open Category Classification by Adversarial Sample Generation IJCAI 2017
Efficient Label Contamination Attacks Against Black-Box Learning Models IJCAI 2017
Robust Training under Linguistic Adversity EACL 2017
Adversarial Learning for Neural Dialogue Generation EMNLP 2017
Conditional Generative Adversarial Networks for Commonsense Machine Comprehension IJCAI 2017
TUCH: Turning Cross-view Hashing into Single-view Hashing via Generative Adversarial Nets IJCAI 2017
Adversarial Multi-task Learning for Text Classification ACL 2017
Dualing GANs NIPS 2017
Unsupervised Video Summarization With Adversarial LSTM Networks CVPR 2017
Temporal Coherency based Criteria for Predicting Video Frames using Deep Multi-stage Generative Adversarial Networks NIPS 2017