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 751–775 of 2964 papers

Title	Date	Tasks	Status	Hype
Flexibly Scaling Large Language Models Contexts Through Extensible Tokenization	Jan 15, 2024	Few-Shot LearningLanguage Modeling	—Unverified	0
Harnessing Large Language Models Over Transformer Models for Detecting Bengali Depressive Social Media Text: A Comprehensive Study	Jan 14, 2024	Deep LearningDepression Detection	CodeCode Available	0
xCoT: Cross-lingual Instruction Tuning for Cross-lingual Chain-of-Thought Reasoning	Jan 13, 2024	Few-Shot LearningLanguage Modelling	—Unverified	0
EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health Records	Jan 13, 2024	Code GenerationFew-Shot Learning	CodeCode Available	2
Hierarchical Knowledge Distillation on Text Graph for Data-limited Attribute Inference	Jan 10, 2024	AttributeFew-Shot Learning	—Unverified	0
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	0
Less is More: A Closer Look at Semantic-based Few-Shot Learning	Jan 10, 2024	Few-Shot LearningLanguage Modeling	—Unverified	0
Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Prior	Jan 9, 2024	Few-Shot LearningPrompt Engineering	CodeCode Available	1
Deep learning based detection of collateral circulation in coronary angiographies	Jan 8, 2024	Coronary Artery SegmentationDeep Learning	—Unverified	0
Autosen: improving automatic wifi human sensing through cross-modal autoencoder	Jan 8, 2024	Few-Shot LearningSelf-Supervised Learning	—Unverified	0
Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series	Jan 8, 2024	CPUFew-Shot Learning	CodeCode Available	4
Few-Shot Causal Representation Learning for Out-of-Distribution Generalization on Heterogeneous Graphs	Jan 7, 2024	Few-Shot LearningGraph Neural Network	—Unverified	0
Long Context Compression with Activation Beacon	Jan 7, 2024	4kdocument understanding	—Unverified	0
Few-Shot Object Detection with Foundation Models	Jan 1, 2024	Few-Shot LearningFew-Shot Object Detection	—Unverified	0
Adversarially Robust Few-shot Learning via Parameter Co-distillation of Similarity and Class Concept Learners	Jan 1, 2024	Adversarial RobustnessFew-Shot Learning	—Unverified	0
Beyond Textual Constraints: Learning Novel Diffusion Conditions with Fewer Examples	Jan 1, 2024	Few-Shot Learning	CodeCode Available	0
DeIL: Direct-and-Inverse CLIP for Open-World Few-Shot Learning	Jan 1, 2024	DenoisingFew-Shot Learning	CodeCode Available	1
Does Few-shot Learning Suffer from Backdoor Attacks?	Dec 31, 2023	Backdoor AttackFew-Shot Learning	—Unverified	0
Self-supervised Pretraining for Decision Foundation Model: Formulation, Pipeline and Challenges	Dec 29, 2023	Decision MakingFew-Shot Learning	—Unverified	0
Few-shot learning for automated content analysis: Efficient coding of arguments and claims in the debate on arms deliveries to Ukraine	Dec 28, 2023	Few-Shot LearningTask 2	—Unverified	0
A Prompt Learning Framework for Source Code Summarization	Dec 26, 2023	Code SummarizationFew-Shot Learning	CodeCode Available	1
MetaScript: Few-Shot Handwritten Chinese Content Generation via Generative Adversarial Networks	Dec 25, 2023	Few-Shot Learning	CodeCode Available	1
Self-Supervised Learning for Few-Shot Bird Sound Classification	Dec 25, 2023	ClassificationFew-Shot Learning	CodeCode Available	1
Prototype-Based Approach for One-Shot Segmentation of Brain Tumors using Few-Shot Learning	Dec 24, 2023	Few-Shot LearningImage Segmentation	—Unverified	0
Learning Human-like Representations to Enable Learning Human Values	Dec 21, 2023	EthicsFairness	—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