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 2426–2450 of 2964 papers

Title	Date	Tasks	Status
f-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning	Mar 25, 2019	Data AugmentationFew-Shot Learning	—Unverified
Gaussian Process Conditional Density Estimation	Oct 30, 2018	Density EstimationFew-Shot Learning	—Unverified
GCCN: Global Context Convolutional Network	Oct 22, 2021	Few-Shot Image ClassificationFew-Shot Learning	—Unverified
GDC- Generalized Distribution Calibration for Few-Shot Learning	Apr 11, 2022	Few-Shot Learning	—Unverified
GeMQuAD : Generating Multilingual Question Answering Datasets from Large Language Models using Few Shot Learning	Apr 14, 2024	Extractive Question-AnsweringFew-Shot Learning	—Unverified
GenCo: An Auxiliary Generator from Contrastive Learning for Enhanced Few-Shot Learning in Remote Sensing	Jul 27, 2023	Contrastive LearningEarth Observation	—Unverified
Generalization Bounds for Few-Shot Transfer Learning with Pretrained Classifiers	Dec 23, 2022	Few-Shot LearningGeneralization Bounds	—Unverified
Generalization of Fitness Exercise Recognition from Doppler Measurements by Domain-adaption and Few-Shot Learning	Nov 20, 2023	Domain AdaptationFew-Shot Learning	—Unverified
Generalized Cross-domain Multi-label Few-shot Learning for Chest X-rays	Sep 8, 2023	Few-Shot LearningMeta-Learning	—Unverified
Generalized Reinforcement Meta Learning for Few-Shot Optimization	May 4, 2020	DecoderFew-Shot Learning	—Unverified
Generalized Sampling Method for Few Shot Learning	Sep 29, 2021	Few-Shot Learning	—Unverified
Generalized Zero and Few-Shot Transfer for Facial Forgery Detection	Jun 21, 2020	Domain AdaptationFew-Shot Learning	—Unverified
Generalized Zero-Shot Learning using Multimodal Variational Auto-Encoder with Semantic Concepts	Jun 26, 2021	DecoderFew-Shot Learning	—Unverified
Generate, Annotate, and Learn: Generative Models Advance Self-Training and Knowledge Distillation	Sep 29, 2021	Few-Shot LearningKnowledge Distillation	—Unverified
Generating Pseudo-labels Adaptively for Few-shot Model-Agnostic Meta-Learning	Jul 9, 2022	Few-Shot LearningMeta-Learning	—Unverified
Generating Synthetic Datasets for Few-shot Prompt Tuning	Oct 8, 2024	Few-Shot LearningMRPC	—Unverified
Generative Adversarial Networks Based on Transformer Encoder and Convolution Block for Hyperspectral Image Classification	Jul 16, 2022	ClassificationClassification Of Hyperspectral Images	—Unverified
Generative AI Is Not Ready for Clinical Use in Patient Education for Lower Back Pain Patients, Even With Retrieval-Augmented Generation	Sep 23, 2024	Few-Shot LearningRAG	—Unverified
Generative Pre-trained Autoregressive Diffusion Transformer	May 12, 2025	Few-Shot LearningVideo Generation	—Unverified
Geometric Mean Improves Loss For Few-Shot Learning	Jan 24, 2025	Few-Shot Image ClassificationFew-Shot Learning	—Unverified
Give It a Shot: Few-shot Learning to Normalize ADR Mentions in Social Media Posts	Aug 1, 2019	Entity LinkingFew-Shot Learning	—Unverified
GKEAL: Gaussian Kernel Embedded Analytic Learning for Few-Shot Class Incremental Task	Jan 1, 2023	class-incremental learningClass Incremental Learning	—Unverified
GLAD: Generalizable Tuning for Vision-Language Models	Jul 17, 2025	Domain GeneralizationFew-Shot Learning	—Unverified
Global in Local: A Convolutional Transformer for SAR ATR FSL	Aug 10, 2023	Few-Shot Learning	—Unverified
Gpachov at CheckThat! 2023: A Diverse Multi-Approach Ensemble for Subjectivity Detection in News Articles	Sep 13, 2023	ArticlesDimensionality Reduction	—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