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 1126–1150 of 2964 papers

Title	Date	Tasks	Status
Distilling Large Language Models for Network Active Queue Management	Jan 28, 2025	Few-Shot LearningManagement	—Unverified
Distillation of encoder-decoder transformers for sequence labelling	Feb 10, 2023	DecoderFew-Shot Learning	—Unverified
Disentangling Questions from Query Generation for Task-Adaptive Retrieval	Sep 25, 2024	Few-Shot LearningInformation Retrieval	—Unverified
Bioacoustic Event Detection with prototypical networks and data augmentation	Dec 16, 2021	Data AugmentationEvent Detection	—Unverified
An Analysis of LLM Fine-Tuning and Few-Shot Learning for Flaky Test Detection and Classification	Feb 4, 2025	Few-Shot Learning	—Unverified
Additive Angular Margin for Few Shot Learning to Classify Clinical Endoscopy Images	Mar 23, 2020	Few-Shot Learning	—Unverified
Disentangled Generation with Information Bottleneck for Few-Shot Learning	Nov 29, 2022	DisentanglementDiversity	—Unverified
AdBERT: An Effective Few Shot Learning Framework for Aligning Tweets to Superbowl Advertisements	Oct 1, 2022	Few-Shot LearningMarketing	—Unverified
From Human Days to Machine Seconds: Automatically Answering and Generating Machine Learning Final Exams	Jun 11, 2022	BIG-bench Machine LearningFew-Shot Learning	—Unverified
Discriminative Few-Shot Learning Based on Directional Statistics	Jun 5, 2019	Few-Shot LearningGeneral Classification	—Unverified
Bilingual Sexism Classification: Fine-Tuned XLM-RoBERTa and GPT-3.5 Few-Shot Learning	Jun 11, 2024	Few-Shot LearningTask 2	—Unverified
Discrete Few-Shot Learning for Pan Privacy	Jun 23, 2020	Few-Shot Learning	—Unverified
Bilevel Programming for Hyperparameter Optimization and Meta-Learning	Jun 13, 2018	Few-Shot LearningHyperparameter Optimization	—Unverified
Analyzing Text Representations by Measuring Task Alignment	May 31, 2023	ClassificationClustering	—Unverified
Incremental Few-Shot Learning for Pedestrian Attribute Recognition	Jun 2, 2019	AttributeFew-Shot Learning	—Unverified
DiSa: Directional Saliency-Aware Prompt Learning for Generalizable Vision-Language Models	May 26, 2025	cross-modal alignmentDomain Generalization	—Unverified
Bi-Level Meta-Learning for Few-Shot Domain Generalization	Jan 1, 2023	Domain GeneralizationFew-Shot Learning	—Unverified
Bidirectional RNN-based Few Shot Learning for 3D Medical Image Segmentation	Nov 19, 2020	Few-Shot LearningImage Segmentation	—Unverified
Directed Variational Cross-encoder Network for Few-shot Multi-image Co-segmentation	Oct 17, 2020	DecoderFew-Shot Learning	—Unverified
Identifying and Analyzing Task-Encoding Tokens in Large Language Models	Jan 20, 2024	Computational EfficiencyFew-Shot Learning	—Unverified
Gaussian Process Conditional Density Estimation	Oct 30, 2018	Density EstimationFew-Shot Learning	—Unverified
A Survey of Diffusion Models in Natural Language Processing	May 24, 2023	Few-Shot LearningMachine Translation	—Unverified
Differentially Private Meta-Learning	Sep 12, 2019	Federated LearningFew-Shot Learning	—Unverified
Analyzing and Adapting Large Language Models for Few-Shot Multilingual NLU: Are We There Yet?	Mar 4, 2024	Few-Shot LearningIn-Context Learning	—Unverified
GCCN: Global Context Convolutional Network	Oct 22, 2021	Few-Shot Image 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