adversarial learning

Author Name Disambiguation on Heterogeneous Information Network with Adversarial Representation Learning AAAI 2020 Bayesian Adversarial Human Motion Synthesis CVPR 2020 Bridging Maximum Likelihood and Adversarial Learning via α-Divergence AAAI 2020 Bursting the Filter Bubble: Fairness-Aware Network Link Prediction AAAI 2020 Calibrated Domain-Invariant Learning for Highly Generalizable Large Scale Re-Identification WACV 2020 ChromaGAN: Adversarial Picture Colorization with Semantic Class Distribution WACV 2020 Context-Dependent Domain Adversarial Neural Network for Multimodal Emotion Recognition Interspeech 2020 Control, Generate, Augment: A Scalable Framework for Multi-Attribute Text Generation EMNLP 2020 Conv-TasSAN: Separative Adversarial Network Based on Conv-TasNet Interspeech 2020 Counterfactual Off-Policy Training for Neural Dialogue Generation EMNLP 2020 Cross-domain Object Detection through Coarse-to-Fine Feature Adaptation CVPR 2020 Cross-Modality Person Re-Identification With Shared-Specific Feature Transfer CVPR 2020 Debiasing knowledge graph embeddings EMNLP 2020 Deception through Half-Truths AAAI 2020 Deep 3D Portrait From a Single Image CVPR 2020 Deep Adversarial Decomposition: A Unified Framework for Separating Superimposed Images CVPR 2020 Deep Domain-Adversarial Image Generation for Domain Generalisation AAAI 2020 Demystifying Inter-Class Disentanglement ICLR 2020 Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation CVPR 2020 DIRL: Domain-Invariant Representation Learning for Sim-to-Real Transfer CoRL 2020 Discriminative Adversarial Domain Adaptation AAAI 2020 Discriminative Adversarial Search for Abstractive Summarization ICML 2020 Disentangled and Controllable Face Image Generation via 3D Imitative-Contrastive Learning CVPR 2020 Distilling Portable Generative Adversarial Networks for Image Translation AAAI 2020 Do Adversarially Robust ImageNet Models Transfer Better? NeurIPS 2020