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 426–450 of 2964 papers

Title	Date	Tasks	Status	Hype
Improved transferability of self-supervised learning models through batch normalization finetuning	Aug 15, 2024	ClassificationFew-Shot Learning	CodeCode Available	0
Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities	Aug 14, 2024	Continual LearningFew-Shot Learning	CodeCode Available	4
Large Language Models Prompting With Episodic Memory	Aug 14, 2024	Few-Shot LearningReinforcement Learning (RL)	—Unverified	0
A Simple Task-aware Contrastive Local Descriptor Selection Strategy for Few-shot Learning between inter class and intra class	Aug 12, 2024	ClassificationFew-Shot Image Classification	—Unverified	0
Correlation Weighted Prototype-based Self-Supervised One-Shot Segmentation of Medical Images	Aug 12, 2024	Few-Shot LearningImage Segmentation	—Unverified	0
FLEURS-R: A Restored Multilingual Speech Corpus for Generation Tasks	Aug 12, 2024	Few-Shot Learningtext-to-speech	—Unverified	0
Semi-Supervised One-Shot Imitation Learning	Aug 9, 2024	Few-Shot LearningImitation Learning	—Unverified	0
Learn To Learn More Precisely	Aug 8, 2024	Few-Shot LearningMeta-Learning	—Unverified	0
LLM-based MOFs Synthesis Condition Extraction using Few-Shot Demonstrations	Aug 6, 2024	Few-Shot LearningIn-Context Learning	—Unverified	0
Recent Advances in Multi-Choice Machine Reading Comprehension: A Survey on Methods and Datasets	Aug 4, 2024	Few-Shot LearningMachine Reading Comprehension	—Unverified	0
Effective Demonstration Annotation for In-Context Learning via Language Model-Based Determinantal Point Process	Aug 4, 2024	DiversityFew-Shot Learning	—Unverified	0
EOL: Transductive Few-Shot Open-Set Recognition by Enhancing Outlier Logits	Aug 4, 2024	Few-Shot LearningOpen Set Learning	CodeCode Available	0
GNN-SKAN: Harnessing the Power of SwallowKAN to Advance Molecular Representation Learning with GNNs	Aug 2, 2024	Computational EfficiencyDrug Design	—Unverified	0
Cross-domain Named Entity Recognition via Graph Matching	Aug 2, 2024	Cross-Domain Named Entity RecognitionFew-Shot Learning	—Unverified	0
A deep learning-enabled smart garment for accurate and versatile sleep conditions monitoring in daily life	Aug 1, 2024	Explainable artificial intelligenceExplainable Artificial Intelligence (XAI)	—Unverified	0
Granting GPT-4 License and Opportunity: Enhancing Accuracy and Confidence Estimation for Few-Shot Event Detection	Aug 1, 2024	Event DetectionFew-Shot Learning	—Unverified	0
AgEval: A Benchmark for Zero-Shot and Few-Shot Plant Stress Phenotyping with Multimodal LLMs	Jul 29, 2024	Few-Shot LearningIn-Context Learning	—Unverified	0
Advancing Prompt Learning through an External Layer	Jul 29, 2024	Few-Shot LearningPrompt Learning	—Unverified	0
Segmenting Fetal Head with Efficient Fine-tuning Strategies in Low-resource Settings: an empirical study with U-Net	Jul 29, 2024	DecoderFew-Shot Learning	—Unverified	0
Enhancing Code Translation in Language Models with Few-Shot Learning via Retrieval-Augmented Generation	Jul 29, 2024	Code TranslationFew-Shot Learning	—Unverified	0
Motamot: A Dataset for Revealing the Supremacy of Large Language Models over Transformer Models in Bengali Political Sentiment Analysis	Jul 28, 2024	Few-Shot LearningSentiment Analysis	CodeCode Available	0
Using Large Language Models for the Interpretation of Building Regulations	Jul 26, 2024	Common Sense ReasoningDomain Adaptation	—Unverified	0
Cost-effective Instruction Learning for Pathology Vision and Language Analysis	Jul 25, 2024	Few-Shot LearningLanguage Modelling	CodeCode Available	1
A Large Encoder-Decoder Family of Foundation Models For Chemical Language	Jul 24, 2024	DecoderFew-Shot Learning	CodeCode Available	0
Selective Vision-Language Subspace Projection for Few-shot CLIP	Jul 24, 2024	Few-Shot Learning	CodeCode Available	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