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
Few-Shot Learning with Visual Distribution Calibration and Cross-Modal Distribution Alignment	May 19, 2023	Few-Shot Learning	CodeCode Available	1
MetaModulation: Learning Variational Feature Hierarchies for Few-Shot Learning with Fewer Tasks	May 17, 2023	DiversityFew-Shot Learning	CodeCode Available	1
Make Prompt-based Black-Box Tuning Colorful: Boosting Model Generalization from Three Orthogonal Perspectives	May 14, 2023	Few-Shot LearningNatural Language Understanding	CodeCode Available	1
Meta Omnium: A Benchmark for General-Purpose Learning-to-Learn	May 12, 2023	Few-Shot LearningMeta-Learning	CodeCode Available	1
CodeIE: Large Code Generation Models are Better Few-Shot Information Extractors	May 9, 2023	Code GenerationFew-Shot Learning	CodeCode Available	1
Why So Gullible? Enhancing the Robustness of Retrieval-Augmented Models against Counterfactual Noise	May 2, 2023	counterfactualFew-Shot Learning	CodeCode Available	1
Multistage Relation Network With Dual-Metric for Few-Shot Hyperspectral Image Classification	Apr 28, 2023	ClassificationFew-Shot Image Classification	CodeCode Available	1
ESPT: A Self-Supervised Episodic Spatial Pretext Task for Improving Few-Shot Learning	Apr 26, 2023	Few-Shot Image ClassificationFew-Shot Learning	CodeCode Available	1
Context-enriched molecule representations improve few-shot drug discovery	Apr 24, 2023	Drug DiscoveryFew-Shot Learning	CodeCode Available	1
Transductive Few-shot Learning with Prototype-based Label Propagation by Iterative Graph Refinement	Apr 23, 2023	Few-Shot Learninggraph construction	CodeCode Available	1
MasakhaNEWS: News Topic Classification for African languages	Apr 19, 2023	ClassificationFew-Shot Learning	CodeCode Available	1
GPr-Net: Geometric Prototypical Network for Point Cloud Few-Shot Learning	Apr 12, 2023	Computational EfficiencyFew-Shot 3D Point Cloud Classification	CodeCode Available	1
Meta-Learning with a Geometry-Adaptive Preconditioner	Apr 4, 2023	Few-Shot Image ClassificationFew-Shot Learning	CodeCode Available	1
Not All Features Matter: Enhancing Few-shot CLIP with Adaptive Prior Refinement	Apr 3, 2023	AllComputational Efficiency	CodeCode Available	1
A Closer Look at Few-Shot 3D Point Cloud Classification	Mar 31, 2023	3D Point Cloud ClassificationFew-Shot 3D Point Cloud Classification	CodeCode Available	1
What Makes for Effective Few-shot Point Cloud Classification?	Mar 31, 2023	BenchmarkingClassification	CodeCode Available	1
Improving Large Language Models for Clinical Named Entity Recognition via Prompt Engineering	Mar 29, 2023	Few-Shot LearningLanguage Modelling	CodeCode Available	1
Point2Vec for Self-Supervised Representation Learning on Point Clouds	Mar 29, 2023	3D Part Segmentation3D Point Cloud Classification	CodeCode Available	1
Supervised Masked Knowledge Distillation for Few-Shot Transformers	Mar 25, 2023	Few-Shot LearningInductive Bias	CodeCode Available	1
Semantic Prompt for Few-Shot Image Recognition	Mar 24, 2023	Few-Shot Learning	CodeCode Available	1
Few Shot Medical Image Segmentation with Cross Attention Transformer	Mar 24, 2023	Few-Shot LearningImage Segmentation	CodeCode Available	1
Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few-shot Learning with Hyperspherical Embeddings	Mar 16, 2023	Few-Shot Learning	CodeCode Available	1
DETA: Denoised Task Adaptation for Few-Shot Learning	Mar 11, 2023	DenoisingFew-Shot Learning	CodeCode Available	1
Enhancing Activity Prediction Models in Drug Discovery with the Ability to Understand Human Language	Mar 6, 2023	Activity PredictionAttribute	CodeCode Available	1
Prismer: A Vision-Language Model with Multi-Task Experts	Mar 4, 2023	Few-Shot LearningImage Captioning	CodeCode Available	1

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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