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Methodology
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Machine Learning
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Few-Shot Learning
1062 directly classified papers
Papers per year
2006: 1
2011: 1
2013: 2
2014: 1
2015: 1
2017: 6
2018: 13
2019: 30
2020: 47
2021: 104
2022: 151
2023: 184
2024: 243
2025: 251
2026: 27
Papers
On task-relevant loss functions in meta-reinforcement learning
L4DC 2024
Semantic Generative Augmentations for Few-Shot Counting
WACV 2024
Homology Consistency Constrained Efficient Tuning for Vision-Language Models
NIPS 2024
InstructEval: Systematic Evaluation of Instruction Selection Methods
NAACL 2024
DKEC: Domain Knowledge Enhanced Multi-Label Classification for Diagnosis Prediction
EMNLP 2024
Dendritic Integration Inspired Artificial Neural Networks Capture Data Correlation
NIPS 2024
Boosting Generalization in Parametric PDE Neural Solvers through Adaptive Conditioning
NIPS 2024
Hyperbolic vs Euclidean Embeddings in Few-Shot Learning: Two Sides of the Same Coin
WACV 2024
DomainGallery: Few-shot Domain-driven Image Generation by Attribute-centric Finetuning
NIPS 2024
Action Imitation in Common Action Space for Customized Action Image Synthesis
NIPS 2024
CableInspect-AD: An Expert-Annotated Anomaly Detection Dataset
NIPS 2024
UniAudio 1.5: Large Language Model-Driven Audio Codec is A Few-Shot Audio Task Learner
NIPS 2024
Is Programming by Example Solved by LLMs?
NIPS 2024
Multimodal Task Vectors Enable Many-Shot Multimodal In-Context Learning
NIPS 2024
Make-An-Agent: A Generalizable Policy Network Generator with Behavior-Prompted Diffusion
NIPS 2024
Few-Shot Relation Extraction with Hybrid Visual Evidence
COLING 2024
Preserving Generalization of Language models in Few-shot Continual Relation Extraction
EMNLP 2024
How does Architecture Influence the Base Capabilities of Pre-trained Language Models? A Case Study Based on FFN-Wider and MoE Transformers
NIPS 2024
Detecting Temporal Ambiguity in Questions
EMNLP 2024
Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting
NIPS 2024
Selecting Shots for Demographic Fairness in Few-Shot Learning with Large Language Models
EMNLP 2024
Does Continual Learning Meet Compositionality? New Benchmarks and An Evaluation Framework
NIPS 2023
DecoMT: Decomposed Prompting for Machine Translation Between Related Languages using Large Language Models
EMNLP 2023
POE: Process of Elimination for Multiple Choice Reasoning
EMNLP 2023
Noisy Exemplars Make Large Language Models More Robust: A Domain-Agnostic Behavioral Analysis
EMNLP 2023
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