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 626–650 of 2964 papers

Title	Date	Tasks	Status	Hype
Small Language Models Learn Enhanced Reasoning Skills from Medical Textbooks	Mar 30, 2024	Few-Shot LearningInstruction Following	—Unverified	0
MFORT-QA: Multi-hop Few-shot Open Rich Table Question Answering	Mar 28, 2024	Few-Shot LearningQuestion Answering	—Unverified	0
PLOT-TAL -- Prompt Learning with Optimal Transport for Few-Shot Temporal Action Localization	Mar 27, 2024	Action LocalizationDiversity	—Unverified	0
Cross-System Categorization of Abnormal Traces in Microservice-Based Systems via Meta-Learning	Mar 27, 2024	Anomaly DetectionClassification	—Unverified	0
Real Acoustic Fields: An Audio-Visual Room Acoustics Dataset and Benchmark	Mar 27, 2024	Few-Shot LearningPose Tracking	—Unverified	0
Using Domain Knowledge to Guide Dialog Structure Induction via Neural Probabilistic Soft Logic	Mar 26, 2024	Domain GeneralizationFew-Shot Learning	—Unverified	0
PCToolkit: A Unified Plug-and-Play Prompt Compression Toolkit of Large Language Models	Mar 26, 2024	Code CompletionFew-Shot Learning	CodeCode Available	3
Boosting Few-Shot Learning with Disentangled Self-Supervised Learning and Meta-Learning for Medical Image Classification	Mar 26, 2024	Few-Shot Learningimage-classification	—Unverified	0
Automate Knowledge Concept Tagging on Math Questions with LLMs	Mar 26, 2024	Few-Shot LearningMath	—Unverified	0
Few-Shot Bearing Fault Diagnosis Via Ensembling Transformer-Based Model With Mahalanobis Distance Metric Learning From Multiscale Features	Mar 25, 2024	ClassificationFault Diagnosis	CodeCode Available	2
Exploring the Generalization of Cancer Clinical Trial Eligibility Classifiers Across Diseases	Mar 25, 2024	Few-Shot Learning	—Unverified	0
SegICL: A Multimodal In-context Learning Framework for Enhanced Segmentation in Medical Imaging	Mar 25, 2024	Few-Shot LearningImage Segmentation	—Unverified	0
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	0
Cross-domain Multi-modal Few-shot Object Detection via Rich Text	Mar 24, 2024	Cross-Domain Few-ShotDomain Adaptation	CodeCode Available	0
Boosting Few-Shot Learning via Attentive Feature Regularization	Mar 23, 2024	Few-Shot Learning	—Unverified	0
MatchSeg: Towards Better Segmentation via Reference Image Matching	Mar 23, 2024	Domain GeneralizationFew-Shot Learning	CodeCode Available	1
Comprehensive Evaluation and Insights into the Use of Large Language Models in the Automation of Behavior-Driven Development Acceptance Test Formulation	Mar 22, 2024	Few-Shot LearningIn-Context Learning	CodeCode Available	0
Learning-to-Learn the Wave Angle Estimation	Mar 21, 2024	Few-Shot LearningMeta-Learning	—Unverified	0
Clinical information extraction for Low-resource languages with Few-shot learning using Pre-trained language models and Prompting	Mar 20, 2024	Domain AdaptationFew-Shot Learning	—Unverified	0
LUWA Dataset: Learning Lithic Use-Wear Analysis on Microscopic Images	Mar 19, 2024	Few-Shot Learningimage-classification	—Unverified	0
Enhancing Vision-Language Few-Shot Adaptation with Negative Learning	Mar 19, 2024	Computational EfficiencyDomain Generalization	CodeCode Available	1
Pretraining Codomain Attention Neural Operators for Solving Multiphysics PDEs	Mar 19, 2024	Few-Shot LearningSelf-Supervised Learning	CodeCode Available	2
Pragmatic Competence Evaluation of Large Language Models for the Korean Language	Mar 19, 2024	Few-Shot LearningMultiple-choice	CodeCode Available	0
CO3: Low-resource Contrastive Co-training for Generative Conversational Query Rewrite	Mar 18, 2024	Contrastive LearningData Augmentation	—Unverified	0
Towards Understanding the Relationship between In-context Learning and Compositional Generalization	Mar 18, 2024	Few-Shot LearningIn-Context Learning	—Unverified	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