conftrace_
← Learning Types
Deep Learning › Learning Types ›

Adversarial Learning

2,112 papers

Papers per year

2
2
310
256
'10
'15
'20
'25

Papers

Generative Adversarial Network-Based Glottal Waveform Model for Statistical Parametric Speech Synthesis INTERSPEECH 2017
Professor Forcing: A New Algorithm for Training Recurrent Networks NIPS 2016
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling NIPS 2016
DeepFool: A Simple and Accurate Method to Fool Deep Neural Networks CVPR 2016
Generative Adversarial Text to Image Synthesis ICML 2016
Autoencoding beyond pixels using a learned similarity metric ICML 2016
Adversarial Multi-Task Learning of Deep Neural Networks for Robust Speech Recognition INTERSPEECH 2016
Adversarial Prediction Games for Multivariate Losses NIPS 2015
Deep Neural Networks Are Easily Fooled: High Confidence Predictions for Unrecognizable Images CVPR 2015
Generative Adversarial Nets NIPS 2014
Boosting Classifier Cascades NIPS 2010
Joint Cascade Optimization Using A Product Of Boosted Classifiers NIPS 2010