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 1751–1775 of 2964 papers

Title	Date	Tasks	Status
Mixture of Prompt Learning for Vision Language Models	Sep 18, 2024	Domain GeneralizationFew-Shot Learning	—Unverified
MODA: Motion-Drift Augmentation for Inertial Human Motion Analysis	Jan 1, 2025	Action RecognitionData Augmentation	—Unverified
Model-Agnostic Graph Regularization for Few-Shot Learning	Feb 14, 2021	Few-Shot Image ClassificationFew-Shot Learning	—Unverified
Human-like Few-Shot Learning via Bayesian Reasoning over Natural Language	Jun 5, 2023	Few-Shot LearningInductive Learning	—Unverified
Unleashing the Power of Shared Label Structures for Human Activity Recognition	Jan 1, 2023	Activity RecognitionDecoder	—Unverified
Modeling Political Orientation of Social Media Posts: An Extended Analysis	Nov 21, 2023	Few-Shot Learning	—Unverified
Modelling Latent Skills for Multitask Language Generation	Feb 21, 2020	Few-Shot LearningText Generation	—Unverified
Model Tuning or Prompt Tuning? A Study of Large Language Models for Clinical Concept and Relation Extraction	Oct 10, 2023	Few-Shot LearningRelation Extraction	—Unverified
Model X-Ray: Detection of Hidden Malware in AI Model Weights using Few Shot Learning	Sep 28, 2024	Few-Shot Learningmodel	—Unverified
mOSCAR: A Large-scale Multilingual and Multimodal Document-level Corpus	Jun 13, 2024	Few-Shot LearningIn-Context Learning	—Unverified
MultiADS: Defect-aware Supervision for Multi-type Anomaly Detection and Segmentation in Zero-Shot Learning	Apr 9, 2025	Anomaly DetectionAnomaly Segmentation	—Unverified
Multi-Agent RL-Based Industrial AIGC Service Offloading over Wireless Edge Networks	May 5, 2024	Few-Shot LearningMulti-agent Reinforcement Learning	—Unverified
Multi-Class Few Shot Learning Task and Controllable Environment	Mar 24, 2019	ClassificationFew-Shot Learning	—Unverified
Multi-Distillation from Speech and Music Representation Models	Jun 8, 2025	Few-Shot Learning	—Unverified
Multi-Domain Few-Shot Learning and Dataset for Agricultural Applications	Sep 21, 2021	Few-Shot Image ClassificationFew-Shot Learning	—Unverified
Multi-Label Few-Shot Learning for Aspect Category Detection	May 29, 2021	Aspect Category DetectionFew-Shot Learning	—Unverified
Multi-Level Contrastive Learning for Few-Shot Problems	Jul 15, 2021	Contrastive LearningFew-Shot Learning	—Unverified
Multi-Level Fine-Tuning, Data Augmentation, and Few-Shot Learning for Specialized Cyber Threat Intelligence	Jul 22, 2022	Data AugmentationFew-Shot Learning	—Unverified
Multilingual and Cross-Lingual Intent Detection from Spoken Data	Apr 17, 2021	Few-Shot LearningIntent Detection	—Unverified
Multilingual Few-Shot Learning via Language Model Retrieval	Jun 19, 2023	Few-Shot LearningIn-Context Learning	—Unverified
Multimodal Cross-Domain Few-Shot Learning for Egocentric Action Recognition	May 30, 2024	Action RecognitionCross-Domain Few-Shot	—Unverified
Multimodal Few-Shot Learning with Frozen Language Models	Jun 25, 2021	Few-Shot LearningLanguage Modeling	—Unverified
Multi-Modal Few-Shot Object Detection with Meta-Learning-Based Cross-Modal Prompting	Apr 16, 2022	Few-Shot LearningFew-Shot Object Detection	—Unverified
Multimodality in Meta-Learning: A Comprehensive Survey	Sep 28, 2021	Few-Shot LearningMeta-Learning	—Unverified
Multimodal Prototypical Networks for Few-shot Learning	Nov 17, 2020	ClassificationFew-Shot 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