Meta-Learning

Residual Neural Processes AAAI 2020 Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition From a Domain Adaptation Perspective CVPR 2020 Rethinking Performance Estimation in Neural Architecture Search CVPR 2020 ROAM: Recurrently Optimizing Tracking Model CVPR 2020 Robust Meta-learning for Mixed Linear Regression with Small Batches NeurIPS 2020 Scene-Adaptive Video Frame Interpolation via Meta-Learning CVPR 2020 Self-Supervised Meta-Learning for Few-Shot Natural Language Classification Tasks EMNLP 2020 Self-Supervised Tuning for Few-Shot Segmentation IJCAI 2020 Stochastic Loss Function AAAI 2020 Task-Robust Model-Agnostic Meta-Learning NeurIPS 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 Understanding the Power and Limitations of Teaching with Imperfect Knowledge IJCAI 2020 Universal Speech Transformer Interspeech 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