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Adversarial Learning

4854 directly classified papers

Papers per year

Papers

GAIN: Missing Data Imputation using Generative Adversarial Nets ICML 2018
Generate to Adapt: Aligning Domains Using Generative Adversarial Networks CVPR 2018
TextureGAN: Controlling Deep Image Synthesis With Texture Patches CVPR 2018
Video Prediction via Selective Sampling NIPS 2018
PAC-learning in the presence of adversaries NIPS 2018
Importance Weighted Adversarial Nets for Partial Domain Adaptation CVPR 2018
Re-Weighted Adversarial Adaptation Network for Unsupervised Domain Adaptation CVPR 2018
UV-GAN: Adversarial Facial UV Map Completion for Pose-Invariant Face Recognition CVPR 2018
Crowd Counting via Adversarial Cross-Scale Consistency Pursuit CVPR 2018
Scaling provable adversarial defenses NIPS 2018
Adversarial Risk and Robustness: General Definitions and Implications for the Uniform Distribution NIPS 2018
Generating Informative and Diverse Conversational Responses via Adversarial Information Maximization NIPS 2018
On gradient regularizers for MMD GANs NIPS 2018
KDGAN: Knowledge Distillation with Generative Adversarial Networks NIPS 2018
MetaGAN: An Adversarial Approach to Few-Shot Learning NIPS 2018
Towards Fast Computation of Certified Robustness for ReLU Networks ICML 2018
Is Generator Conditioning Causally Related to GAN Performance? ICML 2018
Maximum Classifier Discrepancy for Unsupervised Domain Adaptation CVPR 2018
Adversarially Regularized Autoencoders ICML 2018
Adversarial Data Programming: Using GANs to Relax the Bottleneck of Curated Labeled Data CVPR 2018
Neural Adversarial Training for Semi-supervised Japanese Predicate-argument Structure Analysis ACL 2018
Trick Me If You Can: Adversarial Writing of Trivia Challenge Questions ACL 2018
With Friends Like These, Who Needs Adversaries? NIPS 2018
Deep Defense: Training DNNs with Improved Adversarial Robustness NIPS 2018
NAG: Network for Adversary Generation CVPR 2018