Few-Shot Learning

Few-Shot Learning is an example of meta-learning, where a learner is trained on several related tasks, during the meta-training phase, so that it can generalize well to unseen (but related) tasks with just few examples, during the meta-testing phase. An effective approach to the Few-Shot Learning problem is to learn a common representation for various tasks and train task specific classifiers on top of this representation.

Source: Penalty Method for Inversion-Free Deep Bilevel Optimization

Papers

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Showing 1876–1900 of 2964 papers

Title	Date	Tasks	Status
Auto-view contrastive learning for few-shot image recognition	Jan 1, 2021	Contrastive LearningFew-Shot Learning	—Unverified
AutoWS: Automated Weak Supervision Framework for Text Classification	Feb 7, 2023	Active LearningClassification	—Unverified
A Versatile Framework for Analyzing Galaxy Image Data by Implanting Human-in-the-loop on a Large Vision Model	May 17, 2024	AstronomyFew-Shot Learning	—Unverified
A Weakly Supervised Segmentation Network Embedding Cross-scale Attention Guidance and Noise-sensitive Constraint for Detecting Tertiary Lymphoid Structures of Pancreatic Tumors	Jul 27, 2023	Few-Shot LearningNetwork Embedding	—Unverified
A Weak Supervision Approach for Few-Shot Aspect Based Sentiment	May 19, 2023	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	—Unverified
Baby steps towards few-shot learning with multiple semantics	Jun 5, 2019	Few-Shot Image ClassificationFew-Shot Learning	—Unverified
Bad Form: Comparing Context-Based and Form-Based Few-Shot Learning in Distributional Semantic Models	Oct 1, 2019	Few-Shot LearningForm	—Unverified
Batch Group Normalization	Dec 4, 2020	Domain AdaptationFew-Shot Learning	—Unverified
Bayesian Embeddings for Few-Shot Open World Recognition	Jul 29, 2021	Decision MakingFew-Shot Learning	—Unverified
BEAN: Interpretable Representation Learning with Biologically-Enhanced Artificial Neuronal Assembly Regularization	Sep 27, 2019	Few-Shot LearningRepresentation Learning	—Unverified
LAraBench: Benchmarking Arabic AI with Large Language Models	May 24, 2023	BenchmarkingFew-Shot Learning	—Unverified
Benchmarking Large Language Model Capabilities for Conditional Generation	Jun 29, 2023	BenchmarkingFew-Shot Learning	—Unverified
Benchmarking Toxic Molecule Classification using Graph Neural Networks and Few Shot Learning	Nov 22, 2023	BenchmarkingDrug Discovery	—Unverified
Better (pseudo-)labels for semi-supervised instance segmentation	Mar 18, 2024	Few-Shot Learningimage-classification	—Unverified
Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models	May 12, 2025	Continual LearningFew-Shot Learning	—Unverified
Beyond Data Scarcity: A Frequency-Driven Framework for Zero-Shot Forecasting	Nov 24, 2024	Few-Shot LearningSynthetic Data Generation	—Unverified
Beyond Deepfake Images: Detecting AI-Generated Videos	Apr 24, 2024	Face SwappingFew-Shot Learning	—Unverified
Beyond English: Evaluating LLMs for Arabic Grammatical Error Correction	Dec 13, 2023	Few-Shot LearningGrammatical Error Correction	—Unverified
Beyond Few-shot Object Detection: A Detailed Survey	Aug 26, 2024	Few-Shot LearningFew-Shot Object Detection	—Unverified
Beyond Linearity: Squeeze-and-Recalibrate Blocks for Few-Shot Whole Slide Image Classification	May 21, 2025	Few-Shot Learningimage-classification	—Unverified
Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning	Jan 13, 2022	Active Learningcontinual few-shot learning	—Unverified
Bias Testing and Mitigation in LLM-based Code Generation	Sep 3, 2023	Code GenerationFairness	—Unverified
Bidirectional RNN-based Few Shot Learning for 3D Medical Image Segmentation	Nov 19, 2020	Few-Shot LearningImage Segmentation	—Unverified
Bi-Level Meta-Learning for Few-Shot Domain Generalization	Jan 1, 2023	Domain GeneralizationFew-Shot Learning	—Unverified
Bilevel Programming for Hyperparameter Optimization and Meta-Learning	Jun 13, 2018	Few-Shot LearningHyperparameter Optimization	—Unverified

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All datasets MedConceptsQA DTD FGVC-Aircraft Mini-ImageNet - 5-Shot Learning Mini-Imagenet 5-way (1-shot)Stanford Cars Mini-ImageNet - 1-Shot Learning PubMedQA Caltech101 CaseHOLD EuroSAT Flowers-102

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	gpt-4-0125-preview	Accuracy	61.91	—	Unverified
2	gpt-4-0125-preview	Accuracy	52.49	—	Unverified
3	gpt-3.5-turbo	Accuracy	41.48	—	Unverified
4	gpt-3.5-turbo	Accuracy	37.06	—	Unverified
5	johnsnowlabs/JSL-MedMNX-7B	Accuracy	25.63	—	Unverified
6	yikuan8/Clinical-Longformer	Accuracy	25.55	—	Unverified
7	BioMistral/BioMistral-7B-DARE	Accuracy	25.06	—	Unverified
8	yikuan8/Clinical-Longformer	Accuracy	25.04	—	Unverified
9	PharMolix/BioMedGPT-LM-7B	Accuracy	24.92	—	Unverified
10	PharMolix/BioMedGPT-LM-7B	Accuracy	24.75	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Variational Prompt Tuning	Harmonic mean	67.27	—	Unverified
2	SaSPA + CAL	4-shot Accuracy	48.3	—	Unverified
3	Real-Guidance + CAL	4-shot Accuracy	41.5	—	Unverified
4	CAL	4-shot Accuracy	40.9	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SaSPA + CAL	Harmonic mean	52.2	—	Unverified
2	CAL	Harmonic mean	35.2	—	Unverified
3	Variational Prompt Tuning	Harmonic mean	34.69	—	Unverified
4	Real-Guidance + CAL	Harmonic mean	34.5	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	BGNN	Accuracy	92.7	—	Unverified
2	TIM-GD	Accuracy	87.4	—	Unverified
3	UNEM-Gaussian	Accuracy	66.4	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	EASY (transductive)	Accuracy	82.75	—	Unverified
2	HCTransformers	5 way 1~2 shot	74.74	—	Unverified
3	HyperShot	Accuracy	53.18	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SaSPA + CAL	4-shot Accuracy	66.7	—	Unverified
2	Real-Guidance + CAL	4-shot Accuracy	44.3	—	Unverified
3	CAL	4-shot Accuracy	42.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	HCTransformers	Acc	74.74	—	Unverified
2	DPGN	Acc	67.6	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MetaGen Blended RAG (zero-shot)	Accuracy	77.9	—	Unverified
2	CoT-T5-11B (1024 Shot)	Accuracy	73.42	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Variational Prompt Tuning	Harmonic mean	96.44	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CoT-T5-11B (1024 Shot)	Accuracy	68.3	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Variational Prompt Tuning	Harmonic mean	77.71	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Variational Prompt Tuning	Harmonic mean	81.12	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Variational Prompt Tuning	Harmonic mean	91.57	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CovidExpert	AUC-ROC	1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CoT-T5-11B (1024 Shot)	Accuracy	78.02	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	UNEM-Gaussian	Accuracy	65.7	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	UNEM-Gaussian	Accuracy	73.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Variational Prompt Tuning	Harmonic mean	96.82	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Variational Prompt Tuning	Harmonic mean	73.07	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Variational Prompt Tuning	Harmonic mean	78.51	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	UNEM-Gaussian	Accuracy	52.3	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Variational Prompt Tuning	Harmonic mean	79	—	Unverified