Meta-Learning

Meta Learning Backpropagation And Improving It NeurIPS 2021 Meta-Learning Framework with Applications to Zero-Shot Time-Series Forecasting AAAI 2021 Meta-learning with negative learning rates ICLR 2021 Meta-Reinforcement Learning by Tracking Task Non-stationarity IJCAI 2021 MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition CVPR 2021 MetaSets: Meta-Learning on Point Sets for Generalizable Representations CVPR 2021 Multi-Objective Meta Learning NeurIPS 2021 Neural Descent for Visual 3D Human Pose and Shape CVPR 2021 On sensitivity of meta-learning to support data NeurIPS 2021 On the Influence of Masking Policies in Intermediate Pre-training EMNLP 2021 Optimizing Reusable Knowledge for Continual Learning via Metalearning NeurIPS 2021 Predicting Traffic Congestion Evolution: A Deep Meta Learning Approach IJCAI 2021 PROTAUGMENT: Unsupervised diverse short-texts paraphrasing for intent detection meta-learning ACL 2021 Prototype Completion With Primitive Knowledge for Few-Shot Learning CVPR 2021 Simulating Unknown Target Models for Query-Efficient Black-Box Attacks CVPR 2021 StyleMeUp: Towards Style-Agnostic Sketch-Based Image Retrieval CVPR 2021 Task-Adaptive Neural Network Search with Meta-Contrastive Learning NeurIPS 2021 Task Aligned Generative Meta-learning for Zero-shot Learning AAAI 2021 Test-Time Fast Adaptation for Dynamic Scene Deblurring via Meta-Auxiliary Learning CVPR 2021 Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning AAAI 2021 Transfer Graph Neural Networks for Pandemic Forecasting AAAI 2021 A meta-learning approach to (re)discover plasticity rules that carve a desired function into a neural network NeurIPS 2020 Constructing Multiple Tasks for Augmentation: Improving Neural Image Classification with K-Means Features AAAI 2020 Convergence of Meta-Learning with Task-Specific Adaptation over Partial Parameters NeurIPS 2020 Deep Metric Learning via Adaptive Learnable Assessment CVPR 2020