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
AgileNet: Lightweight Dictionary-based Few-shot Learning	May 21, 2018	Few-Shot Learning	—Unverified
Malicious Requests Detection with Improved Bidirectional Long Short-term Memory Neural Networks	Oct 26, 2020	Few-Shot LearningMetric Learning	—Unverified
A Minimalist Dataset for Systematic Generalization of Perception, Syntax, and Semantics	Mar 2, 2021	Few-Shot LearningProgram Synthesis	—Unverified
A Holistic Evaluation of Piano Sound Quality	Oct 7, 2023	DiversityFew-Shot Learning	—Unverified
A Hybrid Approach with Optimization and Metric-based Meta-Learner for Few-Shot Learning	Apr 4, 2019	Few-Shot LearningGeneral Classification	—Unverified
A Hybrid Model for Few-Shot Text Classification Using Transfer and Meta-Learning	Feb 13, 2025	Few-Shot LearningFew-Shot Text Classification	—Unverified
AI-Driven Road Maintenance Inspection v2: Reducing Data Dependency & Quantifying Road Damage	Oct 7, 2022	Few-Shot Learningobject-detection	—Unverified
AI for Climate Finance: Agentic Retrieval and Multi-Step Reasoning for Early Warning System Investments	Apr 7, 2025	Few-Shot LearningRAG	—Unverified
AimTS: Augmented Series and Image Contrastive Learning for Time Series Classification	Apr 14, 2025	Contrastive LearningFew-Shot Learning	—Unverified
AI of Brain and Cognitive Sciences: From the Perspective of First Principles	Jan 20, 2023	Few-Shot Learningimage-classification	—Unverified
AirFi: Empowering WiFi-based Passive Human Gesture Recognition to Unseen Environment via Domain Generalization	Sep 21, 2022	Domain AdaptationDomain Generalization	—Unverified
AISFG: Abundant Information Slot Filling Generator	Jul 1, 2022	Few-Shot Learningslot-filling	—Unverified
Towards Answering Open-ended Ethical Quandary Questions	May 12, 2022	Few-Shot LearningGenerative Question Answering	—Unverified
A Large Language Model for Feasible and Diverse Population Synthesis	May 7, 2025	DiversityFew-Shot Learning	—Unverified
A Lazy Approach to Long-Horizon Gradient-Based Meta-Learning	Jan 1, 2021	Few-Shot LearningMeta-Learning	—Unverified
ALERT: Adapting Language Models to Reasoning Tasks	Dec 16, 2022	Few-Shot LearningLanguage Modeling	—Unverified
Aligning MAGMA by Few-Shot Learning and Finetuning	Oct 18, 2022	Few-Shot LearningImage Captioning	—Unverified
Aligning Visual Prototypes with BERT Embeddings for Few-Shot Learning	May 21, 2021	Cross-Lingual Word EmbeddingsFew-Shot Learning	—Unverified
Alignment with human representations supports robust few-shot learning	Jan 27, 2023	Few-Shot Learning	—Unverified
A Little Leak Will Sink a Great Ship: Survey of Transparency for Large Language Models from Start to Finish	Mar 24, 2024	Few-Shot Learning	—Unverified
All About Knowledge Graphs for Actions	Aug 28, 2020	Action RecognitionAll	—Unverified
Alleviating the Incompatibility between Cross Entropy Loss and Episode Training for Few-shot Skin Disease Classification	Apr 21, 2020	Few-Shot LearningGeneral Classification	—Unverified
ALLSH: Active Learning Guided by Local Sensitivity and Hardness	May 10, 2022	Active LearningFew-Shot Learning	—Unverified
All You Need in Knowledge Distillation Is a Tailored Coordinate System	Dec 12, 2024	AllFew-Shot Learning	—Unverified
Learning Multi-level Weight-centric Features for Few-shot Learning	Nov 28, 2019	Few-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