Adversarial Learning

Learn, Imagine and Create: Text-to-Image Generation from Prior Knowledge NeurIPS 2019 Learning a Generative Model for Fusing Infrared and Visible Images via Conditional Generative Adversarial Network with Dual Discriminators IJCAI 2019 Learning Belief Representations for Imitation Learning in POMDPs UAI 2019 Learning Cross-Modal Embeddings With Adversarial Networks for Cooking Recipes and Food Images CVPR 2019 Learning from Bad Data via Generation NeurIPS 2019 Learning from brains how to regularize machines NeurIPS 2019 Learning from Label Proportions with Generative Adversarial Networks NeurIPS 2019 Learning from Web Data Using Adversarial Discriminative Neural Networks for Fine-Grained Classification AAAI 2019 Learning in Non-convex Games with an Optimization Oracle COLT 2019 Learning Not to Learn: Training Deep Neural Networks With Biased Data CVPR 2019 Learning Optimal Strategies to Commit To AAAI 2019 Learning Rhyming Constraints using Structured Adversaries EMNLP 2019 Learning to Confuse: Generating Training Time Adversarial Data with Auto-Encoder NeurIPS 2019 Learning to Discriminate Perturbations for Blocking Adversarial Attacks in Text Classification EMNLP 2019 Learning to Jointly Generate and Separate Reflections ICCV 2019 Learning to Speak Fluently in a Foreign Language: Multilingual Speech Synthesis and Cross-Language Voice Cloning Interspeech 2019 Learning Transferable Feature Representations Using Neural Networks ACL 2019 Learning with Bad Training Data via Iterative Trimmed Loss Minimization ICML 2019 Leveraging the Invariant Side of Generative Zero-Shot Learning CVPR 2019 LexicalAT: Lexical-Based Adversarial Reinforcement Training for Robust Sentiment Classification EMNLP 2019 Lipschitz Generative Adversarial Nets ICML 2019 Live Face De-Identification in Video ICCV 2019 Lower Bounds on Adversarial Robustness from Optimal Transport NeurIPS 2019 Low Frequency Adversarial Perturbation UAI 2019 Low-Resource Response Generation with Template Prior EMNLP 2019