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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

DGPN: A Dual Graph Prototypical Network for Few-Shot Speech Spoofing Algorithm Recognition INTERSPEECH 2024
Fully Few-shot Class-incremental Audio Classification Using Expandable Dual-embedding Extractor INTERSPEECH 2024
Conjoin after Decompose: Improving Few-Shot Performance of Named Entity Recognition COLING 2024
ELF-UA: Efficient Label-Free User Adaptation in Gaze Estimation IJCAI 2024
Few-Shot Multimodal Named Entity Recognition Based on Mutlimodal Causal Intervention Graph COLING 2024
Evaluation of Really Good Grammatical Error Correction COLING 2024
Enhancing Low-Resource LLMs Classification with PEFT and Synthetic Data COLING 2024
Domain-aware and Co-adaptive Feature Transformation for Domain Adaption Few-shot Relation Extraction COLING 2024
BERTbek: A Pretrained Language Model for Uzbek COLING 2024
Towards Understanding the Relationship between In-context Learning and Compositional Generalization COLING 2024
Towards Few-shot Entity Recognition in Document Images: A Graph Neural Network Approach Robust to Image Manipulation COLING 2024
Prototype-based Prompt-Instance Interaction with Causal Intervention for Few-shot Event Detection COLING 2024
Wearable Sensor-Based Few-Shot Continual Learning on Hand Gestures for Motor-Impaired Individuals via Latent Embedding Exploitation IJCAI 2024
Exploring Cross-Domain Few-Shot Classification via Frequency-Aware Prompting IJCAI 2024
LeRet: Language-Empowered Retentive Network for Time Series Forecasting IJCAI 2024
KCL: Few-shot Named Entity Recognition with Knowledge Graph and Contrastive Learning COLING 2024
Aggregation and Purification: Dual Enhancement Network for Point Cloud Few-shot Segmentation IJCAI 2024
Few-Shot Learning for Cold-Start Recommendation COLING 2024
Exploring the Generalization of Cancer Clinical Trial Eligibility Classifiers across Diseases COLING 2024
LLM-based Multi-Level Knowledge Generation for Few-shot Knowledge Graph Completion IJCAI 2024
Evaluating the Potential of Language-family-specific Generative Models for Low-resource Data Augmentation: A Faroese Case Study COLING 2024
CO3: Low-resource Contrastive Co-training for Generative Conversational Query Rewrite COLING 2024
Depth-Wise Attention (DWAtt): A Layer Fusion Method for Data-Efficient Classification COLING 2024
Deconstructing In-Context Learning: Understanding Prompts via Corruption COLING 2024
CLIP-FSAC: Boosting CLIP for Few-Shot Anomaly Classification with Synthetic Anomalies IJCAI 2024