few-shot learning

Low-resource Neural Machine Translation with Cross-modal Alignment EMNLP 2022 MAML and ANIL Provably Learn Representations ICML 2022 Mapping Language Models to Grounded Conceptual Spaces ICLR 2022 Margin-Based Few-Shot Class-Incremental Learning with Class-Level Overfitting Mitigation NeurIPS 2022 MaskSplit: Self-Supervised Meta-Learning for Few-Shot Semantic Segmentation WACV 2022 Matching Feature Sets for Few-Shot Image Classification CVPR 2022 Matryoshka Representation Learning NeurIPS 2022 Medical Coding with Biomedical Transformer Ensembles and Zero/Few-shot Learning NAACL 2022 MedSelect: Selective Labeling for Medical Image Classification Using Meta-Learning MIDL 2022 Meet Your Favorite Character: Open-domain Chatbot Mimicking Fictional Characters with only a Few Utterances NAACL 2022 Memorisation versus Generalisation in Pre-trained Language Models ACL 2022 Memory-assisted prompt editing to improve GPT-3 after deployment EMNLP 2022 MemREIN: Rein the Domain Shift for Cross-Domain Few-Shot Learning IJCAI 2022 Meta-Adapters: Parameter Efficient Few-shot Fine-tuning through Meta-Learning AutoML 2022 Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classification NeurIPS 2022 Meta Discovery: Learning to Discover Novel Classes given Very Limited Data ICLR 2022 MetaFSCIL: A Meta-Learning Approach for Few-Shot Class Incremental Learning CVPR 2022 MetaICL: Learning to Learn In Context NAACL 2022 Meta-Learning for Fast Cross-Lingual Adaptation in Dependency Parsing ACL 2022 Meta-Learning for Multi-Label Few-Shot Classification WACV 2022 Meta Learning for Natural Language Processing: A Survey NAACL 2022 Meta-learning Pathologies from Radiology Reports using Variance Aware Prototypical Networks EMNLP 2022 Meta-learning via Language Model In-context Tuning ACL 2022 Meta-Learning with Fewer Tasks through Task Interpolation ICLR 2022 Meta-Learning with Self-Improving Momentum Target NeurIPS 2022