Meta-Learning

Learning to Selectively Learn for Weakly-supervised Paraphrase Generation EMNLP 2021 Learning where to learn: Gradient sparsity in meta and continual learning NeurIPS 2021 Leveraging the Inductive Bias of Large Language Models for Abstract Textual Reasoning NeurIPS 2021 Low-Rank Generalized Linear Bandit Problems AISTATS 2021 LRSC: Learning Representations for Subspace Clustering AAAI 2021 MELR: Meta-Learning via Modeling Episode-Level Relationships for Few-Shot Learning ICLR 2021 Memory Efficient Meta-Learning with Large Images NeurIPS 2021 Meta-Adaptive Nonlinear Control: Theory and Algorithms NeurIPS 2021 Meta-Aggregator: Learning To Aggregate for 1-Bit Graph Neural Networks ICCV 2021 MetaAlign: Coordinating Domain Alignment and Classification for Unsupervised Domain Adaptation CVPR 2021 Meta-Attack: Class-Agnostic and Model-Agnostic Physical Adversarial Attack ICCV 2021 MetaAvatar: Learning Animatable Clothed Human Models from Few Depth Images NeurIPS 2021 Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning ICCV 2021 Meta-Curriculum Learning for Domain Adaptation in Neural Machine Translation AAAI 2021 Meta Distant Transfer Learning for Pre-trained Language Models EMNLP 2021 Meta-GMVAE: Mixture of Gaussian VAE for Unsupervised Meta-Learning ICLR 2021 MetaHTR: Towards Writer-Adaptive Handwritten Text Recognition CVPR 2021 Meta Internal Learning NeurIPS 2021 Meta Label Correction for Noisy Label Learning AAAI 2021 Meta Learning and Its Applications to Natural Language Processing ACL 2021 Meta-Learning Effective Exploration Strategies for Contextual Bandits AAAI 2021 Meta Learning for Causal Direction AAAI 2021 Meta-Learning for Domain Generalization in Semantic Parsing NAACL 2021 Meta-Learning for Effective Multi-task and Multilingual Modelling EACL 2021 Meta-Learning for Relative Density-Ratio Estimation NeurIPS 2021