Learning Paradigms

Synthetic Data Generators -- Sequential and Private NeurIPS 2020 Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data CVPR 2020 Tackling the Objective Inconsistency Problem in Heterogeneous Federated Optimization NeurIPS 2020 Task-Robust Model-Agnostic Meta-Learning NeurIPS 2020 TextHide: Tackling Data Privacy in Language Understanding Tasks EMNLP 2020 Towards a Task-Agnostic Model of Difficulty Estimation for Supervised Learning Tasks AACL 2020 Towards Low-Resource Semi-Supervised Dialogue Generation with Meta-Learning EMNLP 2020 Tracking by Instance Detection: A Meta-Learning Approach CVPR 2020 Training Noise-Robust Deep Neural Networks via Meta-Learning CVPR 2020 UNAS: Differentiable Architecture Search Meets Reinforcement Learning CVPR 2020 Uncertainty-Aware Curriculum Learning for Neural Machine Translation ACL 2020 Understanding the Power and Limitations of Teaching with Imperfect Knowledge IJCAI 2020 Universal Speech Transformer Interspeech 2020 Unsupervised Model Personalization While Preserving Privacy and Scalability: An Open Problem CVPR 2020 Unsupervised Reinforcement Learning of Transferable Meta-Skills for Embodied Navigation CVPR 2020 Variational Metric Scaling for Metric-Based Meta-Learning AAAI 2020 What Can Learned Intrinsic Rewards Capture? ICML 2020 When Low Resource NLP Meets Unsupervised Language Model: Meta-Pretraining then Meta-Learning for Few-Shot Text Classification (Student Abstract) AAAI 2020 A Closer Look at Few-shot Classification ICLR 2019 Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations EMNLP 2019 Adaptive Gradient-Based Meta-Learning Methods NeurIPS 2019 Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search ICML 2019 A Generalized Algorithm for Multi-Objective Reinforcement Learning and Policy Adaptation NeurIPS 2019 Agnostic Federated Learning ICML 2019 A Meta-Learning Approach for Custom Model Training AAAI 2019