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Artificial Intelligence
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Few-Shot Learning
2558 directly classified papers
Papers per year
2002: 1
2009: 1
2012: 1
2013: 6
2014: 2
2015: 3
2016: 6
2017: 19
2018: 48
2019: 127
2020: 167
2021: 323
2022: 394
2023: 448
2024: 528
2025: 401
2026: 83
Papers
ECKPN: Explicit Class Knowledge Propagation Network for Transductive Few-Shot Learning
CVPR 2021
Less Is More: Domain Adaptation with Lottery Ticket for Reading Comprehension
EMNLP 2021
Language Models are Few-shot Multilingual Learners
EMNLP 2021
Learning Zero-Shot Multifaceted Visually Grounded Word Embeddings via Multi-Task Training
EMNLP 2021
Few-Shot Novel Concept Learning for Semantic Parsing
EMNLP 2021
An Explicit-Joint and Supervised-Contrastive Learning Framework for Few-Shot Intent Classification and Slot Filling
EMNLP 2021
Learning from Language Description: Low-shot Named Entity Recognition via Decomposed Framework
EMNLP 2021
ProtoInfoMax: Prototypical Networks with Mutual Information Maximization for Out-of-Domain Detection
EMNLP 2021
A Closer Look at Few-Shot Crosslingual Transfer: The Choice of Shots Matters
ACL 2021
Exploring Transfer Learning For End-to-End Spoken Language Understanding
AAAI 2021
FL-MSRE: A Few-Shot Learning based Approach to Multimodal Social Relation Extraction
AAAI 2021
Looking Wider for Better Adaptive Representation in Few-Shot Learning
AAAI 2021
SagaNet: A Small Sample Gated Network for Pediatric Cancer Diagnosis
ICML 2021
Effectively Leveraging Attributes for Visual Similarity
ICCV 2021
Data Efficient Algorithms and Interpretability Requirements for Personalized Assessment of Taskable AI Systems
IJCAI 2021
MFNP: A Meta-optimized Model for Few-shot Next POI Recommendation
IJCAI 2021
Regularising Knowledge Transfer by Meta Functional Learning
IJCAI 2021
Learning to Learn Personalized Neural Network for Ventricular Arrhythmias Detection on Intracardiac EGMs
IJCAI 2021
Few-Shot Learning with Part Discovery and Augmentation from Unlabeled Images
IJCAI 2021
Conditional Self-Supervised Learning for Few-Shot Classification
IJCAI 2021
Learn from Concepts: Towards the Purified Memory for Few-shot Learning
IJCAI 2021
Understanding the Relationship between Interactions and Outcomes in Human-in-the-Loop Machine Learning
IJCAI 2021
Scaling Digital Screen Reading With One-Shot Learning and Re-Identification
WACV 2021
Weakly-Supervised Object Representation Learning for Few-Shot Semantic Segmentation
WACV 2021
Adaptive-Attentive Geolocalization From Few Queries: A Hybrid Approach
WACV 2021
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