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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

Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification NIPS 2022
Don’t Stop Fine-Tuning: On Training Regimes for Few-Shot Cross-Lingual Transfer with Multilingual Language Models EMNLP 2022
Self-training with Two-phase Self-augmentation for Few-shot Dialogue Generation EMNLP 2022
DynaMaR: Dynamic Prompt with Mask Token Representation EMNLP 2022
Few-shot Learning for Feature Selection with Hilbert-Schmidt Independence Criterion NIPS 2022
An Embarrassingly Simple Approach to Semi-Supervised Few-Shot Learning NIPS 2022
Snoopy: An Online Interface for Exploring the Effect of Pretraining Term Frequencies on Few-Shot LM Performance EMNLP 2022
SEAL: Interactive Tool for Systematic Error Analysis and Labeling EMNLP 2022
Few-shot Learning with Multilingual Generative Language Models EMNLP 2022
GPS: Genetic Prompt Search for Efficient Few-Shot Learning EMNLP 2022
Learning Inter-Entity-Interaction for Few-Shot Knowledge Graph Completion EMNLP 2022
Simple Questions Generate Named Entity Recognition Datasets EMNLP 2022
Retrieval-Augmented Generative Question Answering for Event Argument Extraction EMNLP 2022
Continued Pretraining for Better Zero- and Few-Shot Promptability EMNLP 2022
BBTv2: Towards a Gradient-Free Future with Large Language Models EMNLP 2022
Few-shot Query-Focused Summarization with Prefix-Merging EMNLP 2022
SpanProto: A Two-stage Span-based Prototypical Network for Few-shot Named Entity Recognition EMNLP 2022
KECP: Knowledge Enhanced Contrastive Prompting for Few-shot Extractive Question Answering EMNLP 2022
Prompt-and-Rerank: A Method for Zero-Shot and Few-Shot Arbitrary Textual Style Transfer with Small Language Models EMNLP 2022
Language Models of Code are Few-Shot Commonsense Learners EMNLP 2022
Prompting ELECTRA: Few-Shot Learning with Discriminative Pre-Trained Models EMNLP 2022
Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? EMNLP 2022
AMAL: Meta Knowledge-Driven Few-Shot Adapter Learning EMNLP 2022
Mutual information based Bayesian graph neural network for few-shot learning UAI 2022
ST-MAML : A stochastic-task based method for task-heterogeneous meta-learning UAI 2022