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 251–275 of 2964 papers

Title	Date	Tasks	Status	Hype
Does Few-Shot Learning Help LLM Performance in Code Synthesis?	Dec 3, 2024	Code GenerationFew-Shot Learning	—Unverified	0
A Novel Compact LLM Framework for Local, High-Privacy EHR Data Applications	Dec 3, 2024	Few-Shot Learning	—Unverified	0
Concept Replacer: Replacing Sensitive Concepts in Diffusion Models via Precision Localization	Dec 2, 2024	DenoisingFew-Shot Learning	CodeCode Available	0
Unleashing In-context Learning of Autoregressive Models for Few-shot Image Manipulation	Dec 2, 2024	DiversityFew-Shot Learning	—Unverified	0
Towards Cross-Lingual Audio Abuse Detection in Low-Resource Settings with Few-Shot Learning	Dec 2, 2024	Abuse DetectionAbusive Language	CodeCode Available	0
Prompt as Free Lunch: Enhancing Diversity in Source-Free Cross-domain Few-shot Learning through Semantic-Guided Prompting	Dec 1, 2024	Cross-Domain Few-Shotcross-domain few-shot learning	—Unverified	0
Enhancing AI microscopy for foodborne bacterial classification via adversarial domain adaptation across optical and biological variability	Nov 29, 2024	Domain Adaptationdomain classification	—Unverified	0
APT: Architectural Planning and Text-to-Blueprint Construction Using Large Language Models for Open-World Agents	Nov 26, 2024	Few-Shot LearningLarge Language Model	CodeCode Available	0
SAM-MPA: Applying SAM to Few-shot Medical Image Segmentation using Mask Propagation and Auto-prompting	Nov 26, 2024	Few-Shot LearningImage Segmentation	—Unverified	0
ASSERTIFY: Utilizing Large Language Models to Generate Assertions for Production Code	Nov 25, 2024	Few-Shot LearningPrompt Engineering	CodeCode Available	0
Enhancing Few-Shot Learning with Integrated Data and GAN Model Approaches	Nov 25, 2024	Data AugmentationDrug Discovery	—Unverified	0
Low-Data Classification of Historical Music Manuscripts: A Few-Shot Learning Approach	Nov 25, 2024	ClassificationFew-Shot Learning	—Unverified	0
Beyond Data Scarcity: A Frequency-Driven Framework for Zero-Shot Forecasting	Nov 24, 2024	Few-Shot LearningSynthetic Data Generation	—Unverified	0
Comparative Analysis of Resource-Efficient CNN Architectures for Brain Tumor Classification	Nov 23, 2024	Binary ClassificationBrain Tumor Classification	—Unverified	0
Exploring Foundation Models Fine-Tuning for Cytology Classification	Nov 22, 2024	ClassificationFew-Shot Learning	CodeCode Available	1
FOCUS: Knowledge-enhanced Adaptive Visual Compression for Few-shot Whole Slide Image Classification	Nov 22, 2024	DiagnosticFew-Shot Learning	CodeCode Available	1
Point Cloud Understanding via Attention-Driven Contrastive Learning	Nov 22, 2024	Contrastive LearningFew-Shot Learning	—Unverified	0
AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations	Nov 20, 2024	Few-Shot LearningMeta-Learning	—Unverified	0
Prototype Optimization with Neural ODE for Few-Shot Learning	Nov 19, 2024	Few-Shot Learning	—Unverified	0
Efficient Transfer Learning for Video-language Foundation Models	Nov 18, 2024	Action RecognitionFew-Shot Learning	CodeCode Available	0
Hyperspectral Imaging-Based Grain Quality Assessment With Limited Labelled Data	Nov 17, 2024	Classification Of Hyperspectral ImagesFew-Shot Learning	—Unverified	0
Step-wise Distribution Alignment Guided Style Prompt Tuning for Source-free Cross-domain Few-shot Learning	Nov 15, 2024	Cross-Domain Few-Shotcross-domain few-shot learning	CodeCode Available	1
A Practical Guide to Fine-tuning Language Models with Limited Data	Nov 14, 2024	Few-Shot LearningTransfer Learning	—Unverified	0
Embedding Space Allocation with Angle-Norm Joint Classifiers for Few-Shot Class-Incremental Learning	Nov 14, 2024	class-incremental learningClass Incremental Learning	—Unverified	0
Assessing the Performance of the DINOv2 Self-supervised Learning Vision Transformer Model for the Segmentation of the Left Atrium from MRI Images	Nov 14, 2024	AnatomyFew-Shot 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