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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

Quantifying Adaptability in Pre-trained Language Models with 500 Tasks NAACL 2022
Compositional Task-Oriented Parsing as Abstractive Question Answering NAACL 2022
Imagination-Augmented Natural Language Understanding NAACL 2022
Generation-Focused Table-Based Intermediate Pre-training for Free-Form Question Answering AAAI 2022
Generalizing to New Physical Systems via Context-Informed Dynamics Model ICML 2022
Subspace Learning for Effective Meta-Learning ICML 2022
Efficient Variance Reduction for Meta-learning ICML 2022
Transferability and Stability of Learning with Limited Labelled Data in Multilingual Text Document Classification IJCAI 2022
AISFG: Abundant Information Slot Filling Generator NAACL 2022
On the Effectiveness of Sentence Encoding for Intent Detection Meta-Learning NAACL 2022
Improving In-Context Few-Shot Learning via Self-Supervised Training NAACL 2022
MetaICL: Learning to Learn In Context NAACL 2022
Do Prompt-Based Models Really Understand the Meaning of Their Prompts? NAACL 2022
MGIMN: Multi-Grained Interactive Matching Network for Few-shot Text Classification NAACL 2022
On the Economics of Multilingual Few-shot Learning: Modeling the Cost-Performance Trade-offs of Machine Translated and Manual Data NAACL 2022
OmniTab: Pretraining with Natural and Synthetic Data for Few-shot Table-based Question Answering NAACL 2022
Meta Learning for Natural Language Processing: A Survey NAACL 2022
Improving Few-Shot Text-to-SQL with Meta Self-Training via Column Specificity IJCAI 2022
Curriculum-Based Self-Training Makes Better Few-Shot Learners for Data-to-Text Generation IJCAI 2022
Training Naturalized Semantic Parsers with Very Little Data IJCAI 2022
Black-Box Tuning for Language-Model-as-a-Service ICML 2022
PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular Mutual Information ICML 2022
Fine-tuning Pre-trained Language Models for Few-shot Intent Detection: Supervised Pre-training and Isotropization NAACL 2022
Knowledge-Grounded Dialogue Generation with a Unified Knowledge Representation NAACL 2022
LEA: Meta Knowledge-Driven Self-Attentive Document Embedding for Few-Shot Text Classification NAACL 2022