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 176–200 of 2964 papers

Title	Date	Tasks	Status	Hype
Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs	Jan 23, 2025	DiagnosticFew-Shot Learning	—Unverified	0
Towards Safer Social Media Platforms: Scalable and Performant Few-Shot Harmful Content Moderation Using Large Language Models	Jan 23, 2025	Few-Shot LearningIn-Context Learning	—Unverified	0
Text-driven Online Action Detection	Jan 23, 2025	Action DetectionAutonomous Driving	CodeCode Available	0
Adaptive Few-Shot Learning (AFSL): Tackling Data Scarcity with Stability, Robustness, and Versatility	Jan 23, 2025	Data AugmentationDomain Adaptation	—Unverified	0
Rethinking the Sample Relations for Few-Shot Classification	Jan 23, 2025	ClassificationContrastive Learning	CodeCode Available	7
Adapting OpenAI's CLIP Model for Few-Shot Image Inspection in Manufacturing Quality Control: An Expository Case Study with Multiple Application Examples	Jan 22, 2025	Few-Shot Learningimage-classification	—Unverified	0
Patent Figure Classification using Large Vision-language Models	Jan 22, 2025	ClassificationFew-Shot Learning	CodeCode Available	0
MEDFORM: A Foundation Model for Contrastive Learning of CT Imaging and Clinical Numeric Data in Multi-Cancer Analysis	Jan 22, 2025	Cancer ClassificationComputed Tomography (CT)	CodeCode Available	0
Zero-shot and Few-shot Learning with Instruction-following LLMs for Claim Matching in Automated Fact-checking	Jan 18, 2025	Binary ClassificationFact Checking	—Unverified	0
ACE: Anatomically Consistent Embeddings in Composition and Decomposition	Jan 17, 2025	Few-Shot LearningImage Cropping	CodeCode Available	0
Efficient Few-Shot Medical Image Analysis via Hierarchical Contrastive Vision-Language Learning	Jan 16, 2025	Contrastive LearningFew-Shot Learning	—Unverified	0
I Can Find You in Seconds! Leveraging Large Language Models for Code Authorship Attribution	Jan 14, 2025	Adversarial RobustnessAttribute	—Unverified	0
LeapVAD: A Leap in Autonomous Driving via Cognitive Perception and Dual-Process Thinking	Jan 14, 2025	Autonomous DrivingDecision Making	CodeCode Available	2
An efficient approach to represent enterprise web application structure using Large Language Model in the service of Intelligent Quality Engineering	Jan 12, 2025	Few-Shot LearningIn-Context Learning	—Unverified	0
A Comprehensive Evaluation of Large Language Models on Mental Illnesses in Arabic Context	Jan 12, 2025	Binary ClassificationDiagnostic	—Unverified	0
Enhancing Unsupervised Graph Few-shot Learning via Set Functions and Optimal Transport	Jan 10, 2025	Few-Shot Learning	CodeCode Available	0
ActPC-Geom: Towards Scalable Online Neural-Symbolic Learning via Accelerating Active Predictive Coding with Information Geometry & Diverse Cognitive Mechanisms	Jan 8, 2025	Few-Shot Learning	—Unverified	0
Hidden Entity Detection from GitHub Leveraging Large Language Models	Jan 8, 2025	Few-Shot Learningnamed-entity-recognition	CodeCode Available	0
RW-Net: Enhancing Few-Shot Point Cloud Classification with a Wavelet Transform Projection-based Network	Jan 6, 2025	3D Object ClassificationFew-Shot Learning	—Unverified	0
Holistic Semantic Representation for Navigational Trajectory Generation	Jan 6, 2025	Few-Shot LearningZero-Shot Learning	CodeCode Available	1
Generalization-Enhanced Few-Shot Object Detection in Remote Sensing	Jan 5, 2025	Few-Shot LearningFew-Shot Object Detection	CodeCode Available	1
Integrating Domain Knowledge into Large Language Models for Enhanced Fashion Recommendations	Jan 3, 2025	Few-Shot LearningLanguage Modeling	—Unverified	0
Online Meta-Learning Channel Autoencoder for Dynamic End-to-end Physical Layer Optimization	Jan 3, 2025	Few-Shot LearningMeta-Learning	—Unverified	0
ValuesRAG: Enhancing Cultural Alignment Through Retrieval-Augmented Contextual Learning	Jan 2, 2025	FairnessFew-Shot Learning	—Unverified	0
State-of-the-art AI-based Learning Approaches for Deepfake Generation and Detection, Analyzing Opportunities, Threading through Pros, Cons, and Future Prospects	Jan 2, 2025	BenchmarkingFace Swapping	—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