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Adversarial Learning

4854 directly classified papers

Papers per year

Papers

DAL: Dual Adversarial Learning for Dialogue Generation NAACL 2019
Structure-Preserving Stereoscopic View Synthesis With Multi-Scale Adversarial Correlation Matching CVPR 2019
Open Event Extraction from Online Text using a Generative Adversarial Network IJCNLP 2019
Completely Unsupervised Phoneme Recognition by a Generative Adversarial Network Harmonized with Iteratively Refined Hidden Markov Models INTERSPEECH 2019
Image Aesthetic Assessment Assisted by Attributes through Adversarial Learning AAAI 2019
Adversarial Learning for Weakly-Supervised Social Network Alignment AAAI 2019
Distributionally Adversarial Attack AAAI 2019
Adversarial Defense Through Network Profiling Based Path Extraction CVPR 2019
SketchGAN: Joint Sketch Completion and Recognition With Generative Adversarial Network CVPR 2019
Barrage of Random Transforms for Adversarially Robust Defense CVPR 2019
Knockoff Nets: Stealing Functionality of Black-Box Models CVPR 2019
On-Line Adaptative Curriculum Learning for GANs AAAI 2019
Adversarial Learning of Semantic Relevance in Text to Image Synthesis AAAI 2019
ClusterGAN: Latent Space Clustering in Generative Adversarial Networks AAAI 2019
Transferable Attention for Domain Adaptation AAAI 2019
Consensus Adversarial Domain Adaptation AAAI 2019
Energy Confused Adversarial Metric Learning for Zero-Shot Image Retrieval and Clustering AAAI 2019
BiHMP-GAN: Bidirectional 3D Human Motion Prediction GAN AAAI 2019
Semantic Adversarial Network with Multi-Scale Pyramid Attention for Video Classification AAAI 2019
Towards Better Accuracy and Robustness with Localized Adversarial Training AAAI 2019
Evaluating adversarial attacks against multiple fact verification systems IJCNLP 2019
Lower Bounds on Adversarial Robustness from Optimal Transport NIPS 2019
Capacity Bounded Differential Privacy NIPS 2019
Learning to Confuse: Generating Training Time Adversarial Data with Auto-Encoder NIPS 2019
Invariance-inducing regularization using worst-case transformations suffices to boost accuracy and spatial robustness NIPS 2019