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Machine Learning
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Few-Shot Learning
1013 directly classified papers
Papers per year
2007: 1
2010: 1
2011: 1
2013: 7
2014: 1
2015: 2
2016: 3
2017: 12
2018: 15
2019: 34
2020: 81
2021: 145
2022: 197
2023: 178
2024: 161
2025: 169
2026: 5
Papers
Rethinking the Correlation in Few-Shot Segmentation: A Buoys View
CVPR 2023
LLM-powered Data Augmentation for Enhanced Cross-lingual Performance
EMNLP 2023
From Wrong To Right: A Recursive Approach Towards Vision-Language Explanation
EMNLP 2023
Enhancing Low-resource Fine-grained Named Entity Recognition by Leveraging Coarse-grained Datasets
EMNLP 2023
Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models
EMNLP 2023
Low-Resource Comparative Opinion Quintuple Extraction by Data Augmentation with Prompting
EMNLP 2023
APP: Adaptive Prototypical Pseudo-Labeling for Few-shot OOD Detection
EMNLP 2023
ClusterPrompt: Cluster Semantic Enhanced Prompt Learning for New Intent Discovery
EMNLP 2023
Improving Few-Shot Generalization by Exploring and Exploiting Auxiliary Data
NIPS 2023
Focus on Query: Adversarial Mining Transformer for Few-Shot Segmentation
NIPS 2023
ProtoDiff: Learning to Learn Prototypical Networks by Task-Guided Diffusion
NIPS 2023
DiffKendall: A Novel Approach for Few-Shot Learning with Differentiable Kendall's Rank Correlation
NIPS 2023
SIDLR: Slot and Intent Detection Models for Low-Resource Language Varieties
EACL 2023
Few-shot Named Entity Recognition with Entity-level Prototypical Network Enhanced by Dispersedly Distributed Prototypes
COLING 2022
Improving In-Context Few-Shot Learning via Self-Supervised Training
NAACL 2022
Learning To Retrieve Prompts for In-Context Learning
NAACL 2022
DEGREE: A Data-Efficient Generation-Based Event Extraction Model
NAACL 2022
Fine-tuning Pre-trained Language Models for Few-shot Intent Detection: Supervised Pre-training and Isotropization
NAACL 2022
Sentence-aware Adversarial Meta-Learning for Few-Shot Text Classification
COLING 2022
MaskSplit: Self-Supervised Meta-Learning for Few-Shot Semantic Segmentation
WACV 2022
PICA: Point-Wise Instance and Centroid Alignment Based Few-Shot Domain Adaptive Object Detection With Loose Annotations
WACV 2022
SEGA: Semantic Guided Attention on Visual Prototype for Few-Shot Learning
WACV 2022
Skeleton-DML: Deep Metric Learning for Skeleton-Based One-Shot Action Recognition
WACV 2022
Few-Shot Weakly-Supervised Object Detection via Directional Statistics
WACV 2022
What Makes for Effective Few-Shot Point Cloud Classification?
WACV 2022
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