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 1276–1300 of 2964 papers

Title	Date	Tasks	Status
MENTOR: Multilingual tExt detectioN TOward leaRning by analogy	Mar 12, 2024	Few-Shot LearningScene Text Detection	—Unverified
Evaluating the Energy Efficiency of Few-Shot Learning for Object Detection in Industrial Settings	Mar 11, 2024	Few-Shot Learningobject-detection	—Unverified
FewFedPIT: Towards Privacy-preserving and Few-shot Federated Instruction Tuning	Mar 10, 2024	Federated LearningFew-Shot Learning	—Unverified
Few-shot Learning on Heterogeneous Graphs: Challenges, Progress, and Prospects	Mar 10, 2024	Few-Shot Learning	—Unverified
Uncertainty-Aware Relational Graph Neural Network for Few-Shot Knowledge Graph Completion	Mar 7, 2024	Few-Shot LearningGraph Neural Network	—Unverified
TEGEE: Task dEfinition Guided Expert Ensembling for Generalizable and Few-shot Learning	Mar 7, 2024	Continual LearningDefinition Extraction	—Unverified
Contrastive Augmented Graph2Graph Memory Interaction for Few Shot Continual Learning	Mar 7, 2024	class-incremental learningClass Incremental Learning	—Unverified
On Transfer in Classification: How Well do Subsets of Classes Generalize?	Mar 6, 2024	Few-Shot LearningTransfer Learning	—Unverified
Boosting Meta-Training with Base Class Information for Few-Shot Learning	Mar 6, 2024	Few-Shot LearningMeta-Learning	—Unverified
Japanese-English Sentence Translation Exercises Dataset for Automatic Grading	Mar 6, 2024	Few-Shot LearningIn-Context Learning	—Unverified
Designing Informative Metrics for Few-Shot Example Selection	Mar 6, 2024	Few-Shot Learningfew-shot-ner	—Unverified
Zero-Shot Cross-Lingual Document-Level Event Causality Identification with Heterogeneous Graph Contrastive Transfer Learning	Mar 5, 2024	Event Causality IdentificationFew-Shot Learning	—Unverified
TPLLM: A Traffic Prediction Framework Based on Pretrained Large Language Models	Mar 4, 2024	Few-Shot LearningGraph Embedding	—Unverified
How does Architecture Influence the Base Capabilities of Pre-trained Language Models? A Case Study Based on FFN-Wider and MoE Transformers	Mar 4, 2024	Few-Shot LearningLanguage Modeling	—Unverified
Leveraging Weakly Annotated Data for Hate Speech Detection in Code-Mixed Hinglish: A Feasibility-Driven Transfer Learning Approach with Large Language Models	Mar 4, 2024	Few-Shot LearningHate Speech Detection	—Unverified
Analyzing and Adapting Large Language Models for Few-Shot Multilingual NLU: Are We There Yet?	Mar 4, 2024	Few-Shot LearningIn-Context Learning	—Unverified
Transformers for Supervised Online Continual Learning	Mar 3, 2024	Continual LearningFew-Shot Learning	—Unverified
STAR: Constraint LoRA with Dynamic Active Learning for Data-Efficient Fine-Tuning of Large Language Models	Mar 2, 2024	Active LearningFew-Shot Learning	CodeCode Available
FSL-Rectifier: Rectify Outliers in Few-Shot Learning via Test-Time Augmentation	Feb 28, 2024	Data AugmentationFew-Shot Learning	CodeCode Available
FORML: A Riemannian Hessian-free Method for Meta-learning on Stiefel Manifolds	Feb 28, 2024	Few-Shot LearningMeta-Learning	—Unverified
Meta-Tasks: An alternative view on Meta-Learning Regularization	Feb 27, 2024	Few-Shot LearningMeta-Learning	—Unverified
Surgment: Segmentation-enabled Semantic Search and Creation of Visual Question and Feedback to Support Video-Based Surgery Learning	Feb 27, 2024	Few-Shot Learning	—Unverified
Intelligent Known and Novel Aircraft Recognition -- A Shift from Classification to Similarity Learning for Combat Identification	Feb 26, 2024	ClassificationFew-Shot Learning	—Unverified
Few-Shot Learning for Annotation-Efficient Nucleus Instance Segmentation	Feb 26, 2024	Few-shot Instance SegmentationFew-Shot Learning	—Unverified
Dental Severity Assessment through Few-shot Learning and SBERT Fine-tuning	Feb 24, 2024	DiagnosticFew-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