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 951–975 of 2964 papers

Title	Date	Tasks	Status
Few-Round Learning for Federated Learning	Jan 1, 2021	Federated LearningFew-Shot Learning	—Unverified
CancerGPT: Few-shot Drug Pair Synergy Prediction using Large Pre-trained Language Models	Apr 18, 2023	Few-Shot LearningPrediction	—Unverified
FewSense, Towards a Scalable and Cross-Domain Wi-Fi Sensing System Using Few-Shot Learning	Mar 3, 2022	Domain AdaptationFew-Shot Learning	—Unverified
Few-shot 3D LiDAR Semantic Segmentation for Autonomous Driving	Feb 17, 2023	Autonomous DrivingFew-Shot Learning	—Unverified
Few-Shot 3D Point Cloud Semantic Segmentation via Stratified Class-Specific Attention Based Transformer Network	Mar 28, 2023	Few-shot 3D Point Cloud Semantic SegmentationFew-Shot Learning	—Unverified
Few-Shot Abstract Visual Reasoning With Spectral Features	Oct 4, 2019	Few-Shot LearningVisual Reasoning	—Unverified
Few-shot acoustic event detection via meta-learning	Feb 21, 2020	Event DetectionFew-Shot Learning	—Unverified
A Framework of Meta Functional Learning for Regularising Knowledge Transfer	Mar 28, 2022	Cross-Domain Few-Shotcross-domain few-shot learning	—Unverified
CANAL -- Cyber Activity News Alerting Language Model: Empirical Approach vs. Expensive LLM	May 10, 2024	ArticlesFew-Shot Learning	—Unverified
Enabling the Network to Surf the Internet	Feb 24, 2021	Few-Shot LearningSelf-Supervised Learning	—Unverified
Few-shot Action Recognition with Implicit Temporal Alignment and Pair Similarity Optimization	Oct 13, 2020	Action RecognitionFew-Shot action recognition	—Unverified
Few Shot Activity Recognition Using Variational Inference	Aug 20, 2021	Action RecognitionActivity Recognition	—Unverified
Enabling ISP-less Low-Power Computer Vision	Oct 11, 2022	DemosaickingFew-Shot Learning	—Unverified
Few-Shot Adaptation of Grounding DINO for Agricultural Domain	Apr 9, 2025	Few-Shot Learningobject-detection	—Unverified
Few-shot Learning with Meta Metric Learners	Jan 26, 2019	Few-Shot LearningMeta-Learning	—Unverified
Few-Shot Learning with Metric-Agnostic Conditional Embeddings	Feb 12, 2018	Few-Shot LearningGeneral Classification	—Unverified
Improving Few-shot Learning by Spatially-aware Matching and CrossTransformer	Jan 6, 2020	DeblurringFew-Shot Learning	—Unverified
Enabling hand gesture customization on wrist-worn devices	Mar 29, 2022	Few-Shot LearningTransfer Learning	—Unverified
Few-shot Anomaly Detection in Text with Deviation Learning	Aug 22, 2023	Anomaly DetectionFew-Shot Learning	—Unverified
Few-Shot Authorship Attribution in English Reddit Posts	Jan 16, 2022	ArticlesAuthorship Attribution	—Unverified
Enabling Classifiers to Make Judgements Explicitly Aligned with Human Values	Oct 14, 2022	ClassificationFew-Shot Learning	—Unverified
Few-Shot Bayesian Optimization with Deep Kernel Surrogates	Jan 19, 2021	Bayesian OptimizationFew-Shot Learning	—Unverified
Few-Shot Bearing Fault Diagnosis Based on Model-Agnostic Meta-Learning	Jul 25, 2020	Anomaly DetectionFault Diagnosis	—Unverified
EMR Coding with Semi-Parametric Multi-Head Matching Networks	Jun 1, 2018	Few-Shot LearningGeneral Classification	—Unverified
CAM/CAD Point Cloud Part Segmentation via Few-Shot Learning	Jul 4, 2022	3D Part SegmentationFew-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