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 1376–1400 of 2964 papers

Title	Date	Tasks	Status
Adapting Language-Audio Models as Few-Shot Audio Learners	May 28, 2023	Audio ClassificationClassification	—Unverified
Few-shot acoustic event detection via meta-learning	Feb 21, 2020	Event DetectionFew-Shot Learning	—Unverified
Few-Shot Abstract Visual Reasoning With Spectral Features	Oct 4, 2019	Few-Shot LearningVisual Reasoning	—Unverified
Few-Shot 3D Point Cloud Semantic Segmentation via Stratified Class-Specific Attention Based Transformer Network	Mar 28, 2023	Few-shot 3D Point Cloud Semantic SegmentationFew-Shot Learning	—Unverified
COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation	Dec 23, 2024	DiversityFew-Shot Learning	—Unverified
Few-shot 3D LiDAR Semantic Segmentation for Autonomous Driving	Feb 17, 2023	Autonomous DrivingFew-Shot Learning	—Unverified
FewSense, Towards a Scalable and Cross-Domain Wi-Fi Sensing System Using Few-Shot Learning	Mar 3, 2022	Domain AdaptationFew-Shot Learning	—Unverified
Few-Round Learning for Federated Learning	Jan 1, 2021	Federated LearningFew-Shot Learning	—Unverified
Towards Cross-Granularity Few-Shot Learning: Coarse-to-Fine Pseudo-Labeling with Visual-Semantic Meta-Embedding	Jul 11, 2020	ClassificationFew-Shot Learning	—Unverified
A Similarity Paradigm Through Textual Regularization Without Forgetting	Feb 20, 2025	Domain GeneralizationFew-Shot Learning	—Unverified
Fewmatch: Dynamic Prototype Refinement for Semi-Supervised Few-Shot Learning	Jan 1, 2021	Few-Shot LearningPseudo Label	—Unverified
CO3: Low-resource Contrastive Co-training for Generative Conversational Query Rewrite	Mar 18, 2024	Contrastive LearningData Augmentation	—Unverified
FewFedWeight: Few-shot Federated Learning Framework across Multiple NLP Tasks	Dec 16, 2022	Federated LearningFew-Shot Learning	—Unverified
Few Edges Are Enough: Few-Shot Network Attack Detection with Graph Neural Networks	Jan 28, 2025	Few-Shot LearningSelf-Supervised Learning	—Unverified
A Self-Adaptive Learning Rate and Curriculum Learning Based Framework for Few-Shot Text Classification	Nov 16, 2021	Few-Shot LearningFew-Shot Text Classification	—Unverified
A Framework of Meta Functional Learning for Regularising Knowledge Transfer	Mar 28, 2022	Cross-Domain Few-Shotcross-domain few-shot learning	—Unverified
FewFedPIT: Towards Privacy-preserving and Few-shot Federated Instruction Tuning	Mar 10, 2024	Federated LearningFew-Shot Learning	—Unverified
Federated Learning with MMD-based Early Stopping for Adaptive GNSS Interference Classification	Oct 21, 2024	Federated LearningFew-Shot Learning	—Unverified
Federated Large Language Models: Feasibility, Robustness, Security and Future Directions	May 13, 2025	Federated LearningFew-Shot Learning	—Unverified
Federated Few-Shot Learning with Adversarial Learning	Apr 1, 2021	Federated LearningFew-Shot Learning	—Unverified
Clustering Algorithms and RAG Enhancing Semi-Supervised Text Classification with Large LLMs	Nov 9, 2024	ClassificationClustering	—Unverified
Feature Transformation Ensemble Model with Batch Spectral Regularization for Cross-Domain Few-Shot Classification	May 18, 2020	Cross-Domain Few-Shotcross-domain few-shot learning	—Unverified
CLR-GAM: Contrastive Point Cloud Learning with Guided Augmentation and Feature Mapping	Feb 28, 2023	3D Point Cloud ClassificationContrastive Learning	—Unverified
Feature Aligning Few shot Learning Method Using Local Descriptors Weighted Rules	Aug 26, 2024	ClassificationFew-Shot Image Classification	—Unverified
Feature Activation Map: Visual Explanation of Deep Learning Models for Image Classification	Jul 11, 2023	ClassificationContrastive Learning	—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