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Few-Shot Learning

1013 directly classified papers

Papers per year

Papers

Efficient Cross-Task Prompt Tuning for Few-Shot Conversational Emotion Recognition EMNLP 2023
On Task-personalized Multimodal Few-shot Learning for Visually-rich Document Entity Retrieval EMNLP 2023
Type-Aware Decomposed Framework for Few-Shot Named Entity Recognition EMNLP 2023
Few-shot Unified Question Answering: Tuning Models or Prompts? EMNLP 2023
Chain of Thought with Explicit Evidence Reasoning for Few-shot Relation Extraction EMNLP 2023
Automated Few-Shot Classification with Instruction-Finetuned Language Models EMNLP 2023
Good Meta-tasks Make A Better Cross-lingual Meta-transfer Learning for Low-resource Languages EMNLP 2023
TabPrompt: Graph-based Pre-training and Prompting for Few-shot Table Understanding EMNLP 2023
Density-Aware Prototypical Network for Few-Shot Relation Classification EMNLP 2023
One-Shot and Few-Shot Exemplification Modeling EMNLP 2023
PaRaDe: Passage Ranking using Demonstrations with LLMs EMNLP 2023
Few-shot Class-incremental Audio Classification Using Adaptively-refined Prototypes INTERSPEECH 2023
Making Pre-trained Language Models Better Learn Few-Shot Spoken Language Understanding in More Practical Scenarios ACL 2023
IntenDD: A Unified Contrastive Learning Approach for Intent Detection and Discovery EMNLP 2023
Dual Class Knowledge Propagation Network for Multi-label Few-shot Intent Detection ACL 2023
Towards Few-Annotation Learning for Object Detection: Are Transformer-Based Models More Efficient? WACV 2023
Boosting Prompt-Based Self-Training With Mapping-Free Automatic Verbalizer for Multi-Class Classification EMNLP 2023
DemoSG: Demonstration-enhanced Schema-guided Generation for Low-resource Event Extraction EMNLP 2023
LightClone: Speaker-guided Parallel Subnet Selection for Few-shot Voice Cloning INTERSPEECH 2023
Generalizing Few-Shot Named Entity Recognizers to Unseen Domains with Type-Related Features EMNLP 2023
impact of sample selection on in-context learning for entity extraction from scientific writing EMNLP 2023
Few-Shot Medical Image Segmentation With Cycle-Resemblance Attention WACV 2023
Adaptive Local-Component-Aware Graph Convolutional Network for One-Shot Skeleton-Based Action Recognition WACV 2023
CellTranspose: Few-Shot Domain Adaptation for Cellular Instance Segmentation WACV 2023
Towards Discriminative and Transferable One-Stage Few-Shot Object Detectors WACV 2023