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 1351–1375 of 2964 papers

Title	Date	Tasks	Status
Incremental few-shot learning via vector quantization in deep embedded space	Jan 1, 2021	class-incremental learningClass Incremental Learning	—Unverified
Head2HeadFS: Video-based Head Reenactment with Few-shot Learning	Mar 30, 2021	Few-Shot LearningPose Transfer	—Unverified
HetMAML: Task-Heterogeneous Model-Agnostic Meta-Learning for Few-Shot Learning Across Modalities	May 17, 2021	Few-Shot LearningMeta-Learning	—Unverified
HFBRI-MAE: Handcrafted Feature Based Rotation-Invariant Masked Autoencoder for 3D Point Cloud Analysis	Apr 19, 2025	Few-Shot LearningSelf-Supervised Learning	—Unverified
Information Symmetry Matters: A Modal-Alternating Propagation Network for Few-Shot Learning	Sep 3, 2021	AttributeFew-Shot Learning	—Unverified
Demystifying Prompts in Language Models via Perplexity Estimation	Dec 8, 2022	Few-Shot Learning	—Unverified
FSL-HDnn: A 5.7 TOPS/W End-to-end Few-shot Learning Classifier Accelerator with Feature Extraction and Hyperdimensional Computing	Sep 17, 2024	ClusteringFew-Shot Learning	—Unverified
FS-HGR: Few-shot Learning for Hand Gesture Recognition via ElectroMyography	Nov 11, 2020	Domain AdaptationFew-Shot Learning	—Unverified
Curvature Generation in Curved Spaces for Few-Shot Learning	Jan 1, 2021	Few-Shot Learning	—Unverified
Curvature: A signature for Action Recognition in Video Sequences	Apr 30, 2019	Action RecognitionFew-Shot Learning	—Unverified
Hierarchical Knowledge Distillation on Text Graph for Data-limited Attribute Inference	Jan 10, 2024	AttributeFew-Shot Learning	—Unverified
Hierarchical Local-Global Feature Learning for Few-shot Malicious Traffic Detection	Apr 1, 2025	Few-Shot LearningTraffic Classification	—Unverified
Hierarchical Material Recognition from Local Appearance	May 28, 2025	Few-Shot LearningGraph Attention	—Unverified
Hierarchical Meta Learning	Apr 19, 2019	Few-Shot LearningMeta-Learning	—Unverified
Automatic Identification of Coal and Rock/Gangue Based on DenseNet and Gaussian Process	Aug 31, 2022	Few-Shot Learning	—Unverified
Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models	May 12, 2025	Continual LearningFew-Shot Learning	—Unverified
A Systematic Evaluation and Benchmark for Embedding-Aware Generative Models: Features, Models, and Any-shot Scenarios	Feb 8, 2023	Few-Shot LearningZero-Shot Learning	—Unverified
High-level semantic feature matters few-shot unsupervised domain adaptation	Jan 5, 2023	Domain AdaptationFew-Shot Learning	—Unverified
Derm-T2IM: Harnessing Synthetic Skin Lesion Data via Stable Diffusion Models for Enhanced Skin Disease Classification using ViT and CNN	Jan 10, 2024	DiversityFew-Shot Learning	—Unverified
HMAE: Self-Supervised Few-Shot Learning for Quantum Spin Systems	May 6, 2025	Few-Shot LearningQuantum Machine Learning	—Unverified
HMSN: Hyperbolic Self-Supervised Learning by Clustering with Ideal Prototypes	May 18, 2023	ClusteringFew-Shot Learning	—Unverified
From User Preferences to Optimization Constraints Using Large Language Models	Mar 27, 2025	Few-Shot Learning	—Unverified
CS/NLP at SemEval-2022 Task 4: Effective Data Augmentation Methods for Patronizing Language Detection and Multi-label Classification with RoBERTa and GPT3	Jul 1, 2022	Data AugmentationFew-Shot Learning	—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
From Random to Informed Data Selection: A Diversity-Based Approach to Optimize Human Annotation and Few-Shot Learning	Jan 24, 2024	DiversityFew-Shot Learning	—Unverified

Show:10 25 50

← PrevPage 55 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