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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 2051–2075 of 2964 papers

Title	Date	Tasks	Status
Semi-Supervised Few-Shot Learning for Dual Question-Answer Extraction	Apr 8, 2019	ClusteringFew-Shot Learning	—Unverified
Semi-supervised few-shot learning for medical image segmentation	Mar 18, 2020	Few-Shot LearningImage Segmentation	—Unverified
Semi-Supervised Few-Shot Learning with a Controlled Degree of Task-Adaptive Conditioning	Sep 25, 2019	ClusteringFew-Shot Learning	—Unverified
Semi Supervised Learning For Few-shot Audio Classification By Episodic Triplet Mining	Feb 16, 2021	Audio ClassificationEvent Detection	—Unverified
Semi-supervised Meta-learning for Cross-domain Few-shot Intent Classification	Aug 1, 2021	Cross-Domain Few-ShotFew-Shot Learning	—Unverified
Semi-Supervised One-Shot Imitation Learning	Aug 9, 2024	Few-Shot LearningImitation Learning	—Unverified
Semi-Supervised SAR ATR Framework with Transductive Auxiliary Segmentation	Aug 31, 2023	Few-Shot LearningInductive Bias	—Unverified
SEN: A Novel Feature Normalization Dissimilarity Measure for Prototypical Few-Shot Learning Networks	Aug 1, 2020	Few-Shot Learning	—Unverified
Sense and Learn: Self-Supervision for Omnipresent Sensors	Sep 28, 2020	Continual LearningFew-Shot Learning	—Unverified
SGIA: Enhancing Fine-Grained Visual Classification with Sequence Generative Image Augmentation	Dec 9, 2024	Data AugmentationFew-Shot Learning	—Unverified
Shoestring: Graph-Based Semi-Supervised Classification With Severely Limited Labeled Data	Jun 1, 2020	ClassificationClustering	—Unverified
Shot in the Dark: Few-Shot Learning with No Base-Class Labels	Oct 6, 2020	Few-Shot LearningInductive Bias	—Unverified
Show or Tell? Effectively prompting Vision-Language Models for semantic segmentation	Mar 25, 2025	Few-Shot LearningSegmentation	—Unverified
ShufaNet: Classification method for calligraphers who have reached the professional level	Nov 22, 2021	ClassificationFew-Shot Learning	—Unverified
Siamese Capsule Networks	May 18, 2018	Face VerificationFew-Shot Learning	—Unverified
Distance Metric-Based Learning with Interpolated Latent Features for Location Classification in Endoscopy Image and Video	Mar 15, 2021	Anomaly DetectionFew-Shot Learning	—Unverified
Siamese Network with Dual Attention for EEG-Driven Social Learning: Bridging the Human-Robot Gap in Long-Tail Autonomous Driving	Apr 14, 2025	Autonomous DrivingBrain Computer Interface	—Unverified
SigNet: A Novel Deep Learning Framework for Radio Signal Classification	Oct 28, 2020	ClassificationDeep Learning	—Unverified
SILCO: Show a Few Images, Localize the Common Object	Oct 1, 2019	Few-Shot Learning	—Unverified
Similarity of Pre-trained and Fine-tuned Representations	Jul 19, 2022	Domain AdaptationFew-Shot Learning	—Unverified
Simultaneous Perturbation Stochastic Approximation for Few-Shot Learning	Jun 9, 2020	Few-Shot Learning	—Unverified
Single Morphing Attack Detection using Siamese Network and Few-shot Learning	Jun 22, 2022	Face Morphing Attack DetectionFace Verification	—Unverified
Sketch-Plan-Generalize: Learning and Planning with Neuro-Symbolic Programmatic Representations for Inductive Spatial Concepts	Apr 11, 2024	Code Generationcontinual few-shot learning	—Unverified
SMAE: Few-shot Learning for HDR Deghosting with Saturation-Aware Masked Autoencoders	Apr 14, 2023	Few-Shot LearningPseudo Label	—Unverified
Small Language Models as Effective Guides for Large Language Models in Chinese Relation Extraction	Feb 22, 2024	Few-Shot LearningLanguage Modelling	—Unverified

Show:10 25 50

← PrevPage 83 of 119Next →

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