Few-Shot Learning
1,840 papers
Papers per year
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Papers
Few-shot Unified Question Answering: Tuning Models or Prompts?
EMNLP 2023
Flatness-Aware Prompt Selection Improves Accuracy and Sample Efficiency
EMNLP 2023
Focusing, Bridging and Prompting for Few-shot Nested Named Entity Recognition
ACL 2023
Focus on Query: Adversarial Mining Transformer for Few-Shot Segmentation
NeurIPS 2023
Focus Your Attention when Few-Shot Classification
NeurIPS 2023
FoPro: Few-Shot Guided Robust Webly-Supervised Prototypical Learning
AAAI 2023
From Ultra-Fine to Fine: Fine-tuning Ultra-Fine Entity Typing Models to Fine-grained
ACL 2023
From Wrong To Right: A Recursive Approach Towards Vision-Language Explanation
EMNLP 2023
GeCoNeRF: Few-shot Neural Radiance Fields via Geometric Consistency
ICML 2023
Generalizing Few-Shot Named Entity Recognizers to Unseen Domains with Type-Related Features
EMNLP 2023
Generating Features With Increased Crop-Related Diversity for Few-Shot Object Detection
CVPR 2023
Genetic Prompt Search via Exploiting Language Model Probabilities
IJCAI 2023
Good Meta-tasks Make A Better Cross-lingual Meta-transfer Learning for Low-resource Languages
EMNLP 2023
GraphPrompt: Graph-Based Prompt Templates for Biomedical Synonym Prediction
AAAI 2023
GROVE: A Retrieval-augmented Complex Story Generation Framework with A Forest of Evidence
EMNLP 2023
GSAP-NER: A Novel Task, Corpus, and Baseline for Scholarly Entity Extraction Focused on Machine Learning Models and Datasets
EMNLP 2023
Guideline Learning for In-Context Information Extraction
EMNLP 2023
Hierarchical Dense Correlation Distillation for Few-Shot Segmentation
CVPR 2023
Hierarchical Verbalizer for Few-Shot Hierarchical Text Classification
ACL 2023
Hint-Aug: Drawing Hints From Foundation Vision Transformers Towards Boosted Few-Shot Parameter-Efficient Tuning
CVPR 2023
HINT: Hypernetwork Instruction Tuning for Efficient Zero- and Few-Shot Generalisation
ACL 2023
How Do In-Context Examples Affect Compositional Generalization?
ACL 2023
How Many Demonstrations Do You Need for In-context Learning?
EMNLP 2023
Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few-Shot Learning With Hyperspherical Embeddings
CVPR 2023
Hyperbolic Graph Neural Networks at Scale: A Meta Learning Approach
NeurIPS 2023