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 226–250 of 2964 papers

Title	Date	Tasks	Status	Hype
How Can LLMs and Knowledge Graphs Contribute to Robot Safety? A Few-Shot Learning Approach	Dec 16, 2024	Few-Shot LearningKnowledge Graphs	—Unverified	0
SAMIC: Segment Anything with In-Context Spatial Prompt Engineering	Dec 16, 2024	Few-Shot LearningPrompt Engineering	—Unverified	0
Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP	Dec 16, 2024	Few-Shot Learning	CodeCode Available	1
Do Tutors Learn from Equity Training and Can Generative AI Assess It?	Dec 15, 2024	Few-Shot Learning	CodeCode Available	0
SAM-IF: Leveraging SAM for Incremental Few-Shot Instance Segmentation	Dec 15, 2024	DecoderFew-shot Instance Segmentation	—Unverified	0
LLM Distillation for Efficient Few-Shot Multiple Choice Question Answering	Dec 13, 2024	Few-Shot LearningKnowledge Distillation	—Unverified	0
SVasP: Self-Versatility Adversarial Style Perturbation for Cross-Domain Few-Shot Learning	Dec 12, 2024	Cross-Domain Few-Shotcross-domain few-shot learning	CodeCode Available	0
First Train to Generate, then Generate to Train: UnitedSynT5 for Few-Shot NLI	Dec 12, 2024	Data AugmentationDiversity	—Unverified	0
Kajal: Extracting Grammar of a Source Code Using Large Language Models	Dec 12, 2024	Few-Shot LearningPrompt Engineering	CodeCode Available	0
All You Need in Knowledge Distillation Is a Tailored Coordinate System	Dec 12, 2024	AllFew-Shot Learning	—Unverified	0
DiffCLIP: Few-shot Language-driven Multimodal Classifier	Dec 10, 2024	Few-Shot Learning	CodeCode Available	1
IntellectSeeker: A Personalized Literature Management System with the Probabilistic Model and Large Language Model	Dec 10, 2024	ArticlesFew-Shot Learning	CodeCode Available	0
ConceptSearch: Towards Efficient Program Search Using LLMs for Abstraction and Reasoning Corpus (ARC)	Dec 10, 2024	ARCFew-Shot Learning	CodeCode Available	0
Flexible and Scalable Deep Dendritic Spiking Neural Networks with Multiple Nonlinear Branching	Dec 9, 2024	Few-Shot LearningGPU	—Unverified	0
SGIA: Enhancing Fine-Grained Visual Classification with Sequence Generative Image Augmentation	Dec 9, 2024	Data AugmentationFew-Shot Learning	—Unverified	0
PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from Related Example Banks	Dec 7, 2024	Cross-Lingual Question AnsweringDiversity	—Unverified	0
Diversity Over Quantity: A Lesson From Few Shot Relation Classification	Dec 6, 2024	DiversityFew-Shot Learning	—Unverified	0
PETapter: Leveraging PET-style classification heads for modular few-shot parameter-efficient fine-tuning	Dec 6, 2024	Few-Shot LearningLanguage Modeling	—Unverified	0
A Federated Approach to Few-Shot Hate Speech Detection for Marginalized Communities	Dec 6, 2024	Federated LearningFew-Shot Learning	—Unverified	0
KNN-MMD: Cross Domain Wireless Sensing via Local Distribution Alignment	Dec 6, 2024	Action ClassificationAction Classification (1-shot)	CodeCode Available	1
Evolutionary Pre-Prompt Optimization for Mathematical Reasoning	Dec 5, 2024	Few-Shot LearningGSM8K	—Unverified	0
The broader spectrum of in-context learning	Dec 5, 2024	Few-Shot LearningIn-Context Learning	—Unverified	0
ALMA: Alignment with Minimal Annotation	Dec 5, 2024	Few-Shot LearningLanguage Modeling	—Unverified	0
Few-Shot Learning with Adaptive Weight Masking in Conditional GANs	Dec 4, 2024	Data AugmentationDiversity	—Unverified	0
Expanding Event Modality Applications through a Robust CLIP-Based Encoder	Dec 4, 2024	Few-Shot LearningObject Recognition	CodeCode Available	1

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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