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 126–150 of 2964 papers

Title	Date	Tasks	Status	Hype
Network Traffic Classification Using Machine Learning, Transformer, and Large Language Models	Mar 4, 2025	Few-Shot LearningModel Selection	—Unverified	0
Diversity Covariance-Aware Prompt Learning for Vision-Language Models	Mar 3, 2025	DiversityFew-Shot Learning	—Unverified	0
Enhancing Multi-hop Reasoning in Vision-Language Models via Self-Distillation with Multi-Prompt Ensembling	Mar 3, 2025	Answer GenerationComputational Efficiency	—Unverified	0
Transformer Based Self-Context Aware Prediction for Few-Shot Anomaly Detection in Videos	Mar 2, 2025	Anomaly DetectionFew-Shot Learning	—Unverified	0
Learning to Animate Images from A Few Videos to Portray Delicate Human Actions	Mar 1, 2025	DecoderFew-Shot Learning	—Unverified	0
LADs: Leveraging LLMs for AI-Driven DevOps	Feb 28, 2025	Few-Shot LearningRetrieval-augmented Generation	—Unverified	0
Mixmamba-fewshot: mamba and attention mixer-based method with few-shot learning for bearing fault diagnosis	Feb 27, 2025	ClassificationDiagnostic	CodeCode Available	1
Large Language Models as Attribution Regularizers for Efficient Model Training	Feb 27, 2025	Few-Shot Learning	CodeCode Available	0
Few-Shot Multilingual Open-Domain QA from 5 Examples	Feb 27, 2025	Few-Shot LearningOpen-Domain Question Answering	CodeCode Available	0
Code Summarization Beyond Function Level	Feb 23, 2025	Code SummarizationFew-Shot Learning	CodeCode Available	1
Cross-domain Few-shot Object Detection with Multi-modal Textual Enrichment	Feb 23, 2025	Cross-Domain Few-ShotCross-Domain Few-Shot Object Detection	CodeCode Available	1
An Autonomous Network Orchestration Framework Integrating Large Language Models with Continual Reinforcement Learning	Feb 22, 2025	ARCContinual Learning	—Unverified	0
TimePFN: Effective Multivariate Time Series Forecasting with Synthetic Data	Feb 22, 2025	Bayesian InferenceFew-Shot Learning	CodeCode Available	1
A Similarity Paradigm Through Textual Regularization Without Forgetting	Feb 20, 2025	Domain GeneralizationFew-Shot Learning	—Unverified	0
Retrieving Versus Understanding Extractive Evidence in Few-Shot Learning	Feb 19, 2025	Few-Shot LearningLanguage Modeling	—Unverified	0
Dual-level Mixup for Graph Few-shot Learning with Fewer Tasks	Feb 19, 2025	Few-Shot LearningGraph Learning	CodeCode Available	0
RM-PoT: Reformulating Mathematical Problems and Solving via Program of Thoughts	Feb 18, 2025	Few-Shot Learning	—Unverified	0
Do we still need Human Annotators? Prompting Large Language Models for Aspect Sentiment Quad Prediction	Feb 18, 2025	Aspect-Based Sentiment Analysis (ABSA)Few-Shot Learning	CodeCode Available	0
UniMatch: Universal Matching from Atom to Task for Few-Shot Drug Discovery	Feb 18, 2025	Drug DiscoveryFew-Shot Learning	CodeCode Available	0
RIDE: Enhancing Large Language Model Alignment through Restyled In-Context Learning Demonstration Exemplars	Feb 17, 2025	Few-Shot LearningIn-Context Learning	CodeCode Available	0
SQL-o1: A Self-Reward Heuristic Dynamic Search Method for Text-to-SQL	Feb 17, 2025	Few-Shot LearningHeuristic Search	CodeCode Available	2
SEM-CLIP: Precise Few-Shot Learning for Nanoscale Defect Detection in Scanning Electron Microscope Image	Feb 15, 2025	Defect DetectionFeature Engineering	—Unverified	0
A Hybrid Model for Few-Shot Text Classification Using Transfer and Meta-Learning	Feb 13, 2025	Few-Shot LearningFew-Shot Text Classification	—Unverified	0
Cancer Vaccine Adjuvant Name Recognition from Biomedical Literature using Large Language Models	Feb 12, 2025	Few-Shot LearningLarge Language Model	CodeCode Available	0
A Flag Decomposition for Hierarchical Datasets	Feb 11, 2025	ClusteringDenoising	CodeCode Available	0

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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