Few-Shot Learning
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Benchmarks
MedConceptsQA
DTD
FGVC Aircraft
Stanford Cars
PubMedQA
CR
Caltech101
CaseHOLD
EuroSAT
Flowers-102
GLUE QQP
MR
MRPC
MedNLI
OxfordPets
SUN397
StanforCars
UCF101
food101
tieredImageNet - 5-shot
Most implemented
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Language Models are Few-Shot Learners
LLaMA: Open and Efficient Foundation Language Models
Prototypical Networks for Few-shot Learning
Matching Networks for One Shot Learning
Papers
Learning to Adapt and Calibrate: Score Distribution Alignment for Few-Shot Uncertainty Prediction in Medical VLMs
Uncertainty estimation for medical vision--language models (VLMs) using conformal prediction has gained increasing attention due to its distribution-free coverage guarantees. However, standard conformal prediction relies…
Few-Shot LearningDecoupled I/O-Dominant Pipelines for Large-Scale Whole-Slide Image Embedding Extraction
Whole-slide images (WSIs) are central to computational pathology but are prohibitively large, making patch-based processing the practical unit for foundation model inference. At scale, however, generating and handling ma…
Few-Shot LearningMetaCaster: Meta-Harness-Optimized Agent for End-to-End Few-Shot Learning of Lightweight Time Series Forecasters
Time series forecasting (TSF) is evolving toward multimodal and agentic settings, yet using foundation models remains uneconomical in resource-constrained scenarios, where compact, specialized forecasters are more desira…
Computational EfficiencyTime Series ForecastingFew-Shot LearningEvaluating and Explaining Prompt Sensitivity of LLMs Using Interactions
The remarkable capabilities of large language models (LLMs) are often undermined by their instability. Even subtle and semantically irrelevant changes in prompts can cause dramatic fluctuations in performance, a phenomen…
Few-Shot LearningCan Large Language Models Explain Flight Safety Events? A Prior-Guided Semantic LLM-based Approach
Improving flight safety with flight data requires not only accurate detection of risk events, but more importantly, clear interpretation of their underlying causes at the level of pilot control behavior. Existing explain…
Feature EngineeringFeature ImportanceFew-Shot LearningAnalysis of Types of Inquiries in Student-AI Interaction: A case study of two CS2 tasks
Background and Context: Question and inquiry are integral parts of knowledge seeking and learning. Despite their importance, students tend not to ask enough questions in the classroom. However, studies have shown that st…
Few-Shot Learning