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 376–400 of 2964 papers

Title	Date	Tasks	Status	Hype
Graph Information Aggregation Cross-Domain Few-Shot Learning for Hyperspectral Image Classification	Jun 30, 2022	Cross-Domain Few-Shotcross-domain few-shot learning	CodeCode Available	1
Graph Prototypical Networks for Few-shot Learning on Attributed Networks	Jun 23, 2020	ClassificationDrug Discovery	CodeCode Available	1
GraphQ IR: Unifying the Semantic Parsing of Graph Query Languages with One Intermediate Representation	May 24, 2022	Few-Shot LearningSemantic Parsing	CodeCode Available	1
Boosting on the shoulders of giants in quantum device calibration	May 13, 2020	BIG-bench Machine LearningFew-Shot Learning	CodeCode Available	1
Group Preference Optimization: Few-Shot Alignment of Large Language Models	Oct 17, 2023	Few-Shot LearningMeta-Learning	CodeCode Available	1
A Neural Network Solves, Explains, and Generates University Math Problems by Program Synthesis and Few-Shot Learning at Human Level	Dec 31, 2021	Few-Shot LearningLanguage Modelling	CodeCode Available	1
Hierarchical Attention Network for Few-Shot Object Detection via Meta-Contrastive Learning	Aug 15, 2022	Contrastive LearningFew-Shot Learning	CodeCode Available	1
DETA: Denoised Task Adaptation for Few-Shot Learning	Mar 11, 2023	DenoisingFew-Shot Learning	CodeCode Available	1
Design of a Graphical User Interface for Few-Shot Machine Learning Classification of Electron Microscopy Data	Jul 21, 2021	Few-Shot LearningImage Segmentation	CodeCode Available	1
ClinicalMamba: A Generative Clinical Language Model on Longitudinal Clinical Notes	Mar 9, 2024	Few-Shot LearningLanguage Modeling	CodeCode Available	1
Borrowing Knowledge From Pre-trained Language Model: A New Data-efficient Visual Learning Paradigm	Jan 1, 2023	Domain GeneralizationFew-Shot Learning	CodeCode Available	1
Detecting Hate Speech with GPT-3	Mar 23, 2021	Few-Shot LearningHate Speech Detection	CodeCode Available	1
Bridging Few-Shot Learning and Adaptation: New Challenges of Support-Query Shift	May 25, 2021	Domain AdaptationFew-Shot Learning	CodeCode Available	1
A Broader Study of Cross-Domain Few-Shot Learning	Dec 16, 2019	Cross-Domain Few-Shotcross-domain few-shot learning	CodeCode Available	1
Bridging Molecular Graphs and Large Language Models	Mar 5, 2025	Few-Shot Learning	CodeCode Available	1
CLIP2Point: Transfer CLIP to Point Cloud Classification with Image-Depth Pre-training	Oct 3, 2022	3D Point Cloud ClassificationContrastive Learning	CodeCode Available	1
CLIP2Scene: Towards Label-efficient 3D Scene Understanding by CLIP	Jan 12, 2023	3D Semantic SegmentationContrastive Learning	CodeCode Available	1
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning	Mar 9, 2020	Few-Shot LearningGeneral Classification	CodeCode Available	1
BSNet: Bi-Similarity Network for Few-shot Fine-grained Image Classification	Nov 29, 2020	Few-Shot LearningFine-Grained Image Classification	CodeCode Available	1
DenoiSeg: Joint Denoising and Segmentation	May 6, 2020	DenoisingFew-Shot Learning	CodeCode Available	1
ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection	Nov 26, 2023	Few-Shot LearningOut-of-Distribution Detection	CodeCode Available	1
Building a Role Specified Open-Domain Dialogue System Leveraging Large-Scale Language Models	Apr 30, 2022	Few-Shot Learning	CodeCode Available	1
An Explanation of In-context Learning as Implicit Bayesian Inference	Nov 3, 2021	Few-Shot LearningIn-Context Learning	CodeCode Available	1
CaesarNeRF: Calibrated Semantic Representation for Few-shot Generalizable Neural Rendering	Nov 27, 2023	Few-Shot LearningNeRF	CodeCode Available	1
DeIL: Direct-and-Inverse CLIP for Open-World Few-Shot Learning	Jan 1, 2024	DenoisingFew-Shot Learning	CodeCode Available	1

Show:10 25 50

← PrevPage 16 of 119Next →

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