few-shot learning

Meta Distant Transfer Learning for Pre-trained Language Models EMNLP 2021 MetaHTR: Towards Writer-Adaptive Handwritten Text Recognition CVPR 2021 Meta Learning and Its Applications to Natural Language Processing ACL 2021 Meta-Learning Divergences for Variational Inference AISTATS 2021 Meta-learning for Classifying Previously Unseen Data Source into Previously Unseen Emotional Categories ACL 2021 Meta-Learning for Few-Shot Named Entity Recognition ACL 2021 Meta-Learning for Relative Density-Ratio Estimation NeurIPS 2021 Meta-learning with an Adaptive Task Scheduler NeurIPS 2021 Meta-Learning With Task-Adaptive Loss Function for Few-Shot Learning ICCV 2021 Meta-Learning with Variational Semantic Memory for Word Sense Disambiguation ACL 2021 Meta-LMTC: Meta-Learning for Large-Scale Multi-Label Text Classification EMNLP 2021 Meta Navigator: Search for a Good Adaptation Policy for Few-Shot Learning ICCV 2021 MetaNorm: Learning to Normalize Few-Shot Batches Across Domains ICLR 2021 Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data NeurIPS 2021 MFNP: A Meta-optimized Model for Few-shot Next POI Recommendation IJCAI 2021 Models and Datasets for Cross-Lingual Summarisation EMNLP 2021 Multi-Label Few-Shot Learning for Aspect Category Detection ACL 2021 Multi-label Few-shot Learning with Semantic Inference (Student Abstract) AAAI 2021 Multimodal Few-Shot Learning with Frozen Language Models NeurIPS 2021 Multimodal Prototypical Networks for Few-Shot Learning WACV 2021 Multi-Objective Meta Learning NeurIPS 2021 Multiple Heads Are Better Than One: Few-Shot Font Generation With Multiple Localized Experts ICCV 2021 Multi-Task Retrieval for Knowledge-Intensive Tasks ACL 2021 Mutual CRF-GNN for Few-Shot Learning CVPR 2021 Nearest Neighbour Few-Shot Learning for Cross-lingual Classification EMNLP 2021