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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
CPopQA: Ranking Cultural Concept Popularity by LLMs
NAACL 2024
How does Multi-Task Training Affect Transformer In-Context Capabilities? Investigations with Function Classes
NAACL 2024
EM_Mixers at MEDIQA-CORR 2024: Knowledge-Enhanced Few-Shot In-Context Learning for Medical Error Detection and Correction
NAACL 2024
UNcommonsense Reasoning: Abductive Reasoning about Uncommon Situations
NAACL 2024
Adaptive Cross-lingual Text Classification through In-Context One-Shot Demonstrations
NAACL 2024
A Closer Look at the CLS Token for Cross-Domain Few-Shot Learning
NIPS 2024
Hard Prompts Made Interpretable: Sparse Entropy Regularization for Prompt Tuning with RL
ACL 2024
Many-Shot In-Context Learning
NIPS 2024
OpenSep: Leveraging Large Language Models with Textual Inversion for Open World Audio Separation
EMNLP 2024
Traffic Light or Light Traffic? Investigating Phrasal Semantics in Large Language Models
EMNLP 2024
Efficient Algorithms for Learning Monophonic Halfspaces in Graphs
COLT 2024
RankPrompt: Step-by-Step Comparisons Make Language Models Better Reasoners
COLING 2024
PDAMeta: Meta-Learning Framework with Progressive Data Augmentation for Few-Shot Text Classification
COLING 2024
MKeCL: Medical Knowledge-Enhanced Contrastive Learning for Few-shot Disease Diagnosis
COLING 2024
3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations
RSS 2024
Locally Differentially Private In-Context Learning
COLING 2024
Dendritic Integration Inspired Artificial Neural Networks Capture Data Correlation
NIPS 2024
LA-UCL: LLM-Augmented Unsupervised Contrastive Learning Framework for Few-Shot Text Classification
COLING 2024
LANID: LLM-assisted New Intent Discovery
COLING 2024
KnowVrDU: A Unified Knowledge-aware Prompt-Tuning Framework for Visually-rich Document Understanding
COLING 2024
Knowledge-Guided Cross-Topic Visual Question Generation
COLING 2024
The Impact of Geometric Complexity on Neural Collapse in Transfer Learning
NIPS 2024
ACES: Generating a Diversity of Challenging Programming Puzzles with Autotelic Generative Models
NIPS 2024
Know-Adapter: Towards Knowledge-Aware Parameter-Efficient Transfer Learning for Few-shot Named Entity Recognition
COLING 2024
Investigating the Robustness of Modelling Decisions for Few-Shot Cross-Topic Stance Detection: A Preregistered Study
COLING 2024
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