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 1326–1350 of 2964 papers

Title	Date	Tasks	Status
Episodic-free Task Selection for Few-shot Learning	Jan 31, 2024	Contrastive LearningFew-Shot Learning	—Unverified
EEG-GPT: Exploring Capabilities of Large Language Models for EEG Classification and Interpretation	Jan 31, 2024	EEGFew-Shot Learning	—Unverified
Few and Fewer: Learning Better from Few Examples Using Fewer Base Classes	Jan 29, 2024	Cross-Domain Few-ShotFew-Shot Image Classification	CodeCode Available
Cross-Domain Few-Shot Learning via Adaptive Transformer Networks	Jan 25, 2024	Cross-Domain Few-Shotcross-domain few-shot learning	CodeCode Available
It's About Time: Incorporating Temporality in Retrieval Augmented Language Models	Jan 24, 2024	Few-Shot LearningHallucination	—Unverified
LDCA: Local Descriptors with Contextual Augmentation for Few-Shot Learning	Jan 24, 2024	ClassificationFew-Shot Image Classification	—Unverified
Growing from Exploration: A self-exploring framework for robots based on foundation models	Jan 24, 2024	Few-Shot Learning	—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
Fine-grained Contract NER using instruction based model	Jan 24, 2024	Few-Shot LearningHallucination	CodeCode Available
Generating Zero-shot Abstractive Explanations for Rumour Verification	Jan 23, 2024	Few-Shot LearningInformativeness	CodeCode Available
Training microrobots to swim by a large language model	Jan 21, 2024	Decision MakingFew-Shot Learning	—Unverified
Identifying and Analyzing Task-Encoding Tokens in Large Language Models	Jan 20, 2024	Computational EfficiencyFew-Shot Learning	—Unverified
Named Entity Recognition Under Domain Shift via Metric Learning for Life Sciences	Jan 19, 2024	Contrastive LearningFew-Shot Learning	CodeCode Available
Leveraging Biases in Large Language Models: "bias-kNN'' for Effective Few-Shot Learning	Jan 18, 2024	Few-Shot LearningIn-Context Learning	—Unverified
Few-shot learning for COVID-19 Chest X-Ray Classification with Imbalanced Data: An Inter vs. Intra Domain Study	Jan 18, 2024	Data AugmentationFew-Shot Learning	CodeCode Available
Few-Shot Learning for Chronic Disease Management: Leveraging Large Language Models and Multi-Prompt Engineering with Medical Knowledge Injection	Jan 16, 2024	Depression DetectionFeature Engineering	—Unverified
Flexibly Scaling Large Language Models Contexts Through Extensible Tokenization	Jan 15, 2024	Few-Shot LearningLanguage Modeling	—Unverified
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
xCoT: Cross-lingual Instruction Tuning for Cross-lingual Chain-of-Thought Reasoning	Jan 13, 2024	Few-Shot LearningLanguage Modelling	—Unverified
Less is More: A Closer Look at Semantic-based Few-Shot Learning	Jan 10, 2024	Few-Shot LearningLanguage Modeling	—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
Hierarchical Knowledge Distillation on Text Graph for Data-limited Attribute Inference	Jan 10, 2024	AttributeFew-Shot Learning	—Unverified
Deep learning based detection of collateral circulation in coronary angiographies	Jan 8, 2024	Coronary Artery SegmentationDeep Learning	—Unverified
Autosen: improving automatic wifi human sensing through cross-modal autoencoder	Jan 8, 2024	Few-Shot LearningSelf-Supervised Learning	—Unverified
Few-Shot Causal Representation Learning for Out-of-Distribution Generalization on Heterogeneous Graphs	Jan 7, 2024	Few-Shot LearningGraph Neural Network	—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