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few-shot learning

3398 papers

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Also known as

FSL FEW-SHOT

Co-occurring keywords

large language model (13587) zero-shot learning (3650) transfer learning (5449) in-context learning (1405) text classification (6793) domain adaptation (4595) prompt engineering (1135) representation learning (6206) language model (4599) contrastive learning (4032)

Papers

CONTaiNER: Few-Shot Named Entity Recognition via Contrastive Learning ACL 2022
LEVEN: A Large-Scale Chinese Legal Event Detection Dataset ACL 2022
Continual Few-shot Relation Learning via Embedding Space Regularization and Data Augmentation ACL 2022
Few-shot Named Entity Recognition with Self-describing Networks ACL 2022
MedSelect: Selective Labeling for Medical Image Classification Using Meta-Learning MIDL 2022
Non-Parametric Word Sense Disambiguation for Historical Languages AACL 2022
Few-Shot Cross-lingual Transfer for Coarse-grained De-identification of Code-Mixed Clinical Texts ACL 2022
OpenPrompt: An Open-source Framework for Prompt-learning ACL 2022
CSS: Combining Self-training and Self-supervised Learning for Few-shot Dialogue State Tracking AACL 2022
On the Episodic Difficulty of Few-shot Learning ACML 2022
POLITICS: Pretraining with Same-story Article Comparison for Ideology Prediction and Stance Detection NAACL 2022
Minimally-Supervised Relation Induction from Pre-trained Language Model NAACL 2022
CardiffNLP-Metaphor at SemEval-2022 Task 2: Targeted Fine-tuning of Transformer-based Language Models for Idiomaticity Detection NAACL 2022
Few-Shot Font Generation by Learning Fine-Grained Local Styles CVPR 2022
Learning To Memorize Feature Hallucination for One-Shot Image Generation CVPR 2022
MetaFSCIL: A Meta-Learning Approach for Few-Shot Class Incremental Learning CVPR 2022
Label, Verify, Correct: A Simple Few Shot Object Detection Method CVPR 2022
Modeling Image Composition for Complex Scene Generation CVPR 2022
Sharpness-Aware Minimization Improves Language Model Generalization ACL 2022
Leveraging QA Datasets to Improve Generative Data Augmentation EMNLP 2022
TAPE: Assessing Few-shot Russian Language Understanding EMNLP 2022
A Benchmark for Compositional Visual Reasoning NIPS 2022
Label-Driven Denoising Framework for Multi-Label Few-Shot Aspect Category Detection EMNLP 2022
HCL-TAT: A Hybrid Contrastive Learning Method for Few-shot Event Detection with Task-Adaptive Threshold EMNLP 2022
Reconciliation of Pre-trained Models and Prototypical Neural Networks in Few-shot Named Entity Recognition EMNLP 2022