Application Areas

Adversarial Domain Adaptation with Domain Mixup AAAI 2020 Adversarial Filters of Dataset Biases ICML 2020 Adversarial Graph Embeddings for Fair Influence Maximization over Social Networks IJCAI 2020 Adversarial-Learned Loss for Domain Adaptation AAAI 2020 Adversarial Learning of Privacy-Preserving and Task-Oriented Representations AAAI 2020 Adversarially Robust Distillation AAAI 2020 Adversarially Robust Representations with Smooth Encoders ICLR 2020 Adversarially Robust Streaming Algorithms via Differential Privacy NeurIPS 2020 Adversarial Robustness for Code ICML 2020 Adversarial Separation and Adaptation Network for Far-Field Speaker Verification Interspeech 2020 Adversarial Style Mining for One-Shot Unsupervised Domain Adaptation NeurIPS 2020 Adversarial Training Based Multi-Source Unsupervised Domain Adaptation for Sentiment Analysis AAAI 2020 Adversarial Transformations for Semi-Supervised Learning AAAI 2020 Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization CVPR 2020 A Fair Classifier Using Kernel Density Estimation NeurIPS 2020 A Fair Comparison of Graph Neural Networks for Graph Classification ICLR 2020 Affective Event Classification with Discourse-enhanced Self-training EMNLP 2020 A First Principles Approach for Data-Efficient System Identification of Spring-Rod Systems via Differentiable Physics Engines L4DC 2020 A Flexible Selection Scheme for Minimum-Effort Transfer Learning WACV 2020 A Framework to Assist Chat Operators of Mental Healthcare Services EMNLP 2020 A Gamified Assessment Platform for Predicting the Risk of Dementia +Parkinson’s disease (DPD) Co-Morbidity IJCAI 2020 A General Approach to Fairness with Optimal Transport AAAI 2020 A General Framework for Implicit and Explicit Debiasing of Distributional Word Vector Spaces AAAI 2020 A Generative Framework for Zero Shot Learning with Adversarial Domain Adaptation WACV 2020 A Greedy Bit-flip Training Algorithm for Binarized Knowledge Graph Embeddings EMNLP 2020