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Few-Shot Learning

2,681 papers

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Papers

RNNP: A Robust Few-Shot Learning Approach WACV 2021 SagaNet: A Small Sample Gated Network for Pediatric Cancer Diagnosis ICML 2021 Sample-efficient Linguistic Generalizations through Program Synthesis: Experiments with Phonology Problems ACL 2021 Scalable Few-Shot Learning of Robust Biomedical Name Representations NAACL 2021 Scale-Aware Graph Neural Network for Few-Shot Semantic Segmentation CVPR 2021 Scaling Digital Screen Reading With One-Shot Learning and Re-Identification WACV 2021 Self-Guided and Cross-Guided Learning for Few-Shot Segmentation CVPR 2021 Self-supervised Network Evolution for Few-shot Classification IJCAI 2021 Self-Supervised Test-Time Learning for Reading Comprehension NAACL 2021 Self-training For Few-shot Transfer Across Extreme Task Differences ICLR 2021 Self-training Improves Pre-training for Few-shot Learning in Task-oriented Dialog Systems EMNLP 2021 Semantic Transportation Prototypical Network for Few-Shot Intent Detection Interspeech 2021 Semi-Supervised Exaggeration Detection of Health Science Press Releases EMNLP 2021 Semi-supervised Meta-learning for Cross-domain Few-shot Intent Classification ACL 2021 Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition ICCV 2021 Sparse-Shot Learning With Exclusive Cross-Entropy for Extremely Many Localisations ICCV 2021 Spoken ObjectNet: A Bias-Controlled Spoken Caption Dataset Interspeech 2021 StarNet: towards Weakly Supervised Few-Shot Object Detection AAAI 2021 Statistically and Computationally Efficient Linear Meta-representation Learning NeurIPS 2021 Story Centaur: Large Language Model Few Shot Learning as a Creative Writing Tool EACL 2021 STraTA: Self-Training with Task Augmentation for Better Few-shot Learning EMNLP 2021 Structural Pre-training for Dialogue Comprehension ACL 2021 Subsequence Based Deep Active Learning for Named Entity Recognition ACL 2021 Tailoring Embedding Function to Heterogeneous Few-Shot Tasks by Global and Local Feature Adaptors AAAI 2021 Task-Aware Part Mining Network for Few-Shot Learning ICCV 2021