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 51–75 of 2964 papers

Title	Date	Tasks	Status	Hype	Score
AlexaTM 20B: Few-Shot Learning Using a Large-Scale Multilingual Seq2Seq Model	Aug 2, 2022	Causal Language ModelingCommon Sense Reasoning	CodeCode Available	2	5
In-BoXBART: Get Instructions into Biomedical Multi-Task Learning	Apr 15, 2022	Few-Shot LearningMulti-Task Learning	CodeCode Available	2	5
Masked Autoencoders for Point Cloud Self-supervised Learning	Mar 13, 2022	3D Part Segmentation3D Point Cloud Classification	CodeCode Available	2	5
Spatio-Temporal Few-Shot Learning via Diffusive Neural Network Generation	Feb 19, 2024	DenoisingFew-Shot Learning	CodeCode Available	2	5
Multimodal C4: An Open, Billion-scale Corpus of Images Interleaved with Text	Apr 14, 2023	Few-Shot Learning	CodeCode Available	2	5
Multimodality Helps Unimodality: Cross-Modal Few-Shot Learning with Multimodal Models	Jan 16, 2023	Audio ClassificationFew-Shot Learning	CodeCode Available	2	5
Improving Factuality and Reasoning in Language Models through Multiagent Debate	May 23, 2023	Few-Shot LearningLanguage Modeling	CodeCode Available	2	5
nnSAM: Plug-and-play Segment Anything Model Improves nnUNet Performance	Sep 29, 2023	Few-Shot LearningHeart Segmentation	CodeCode Available	2	5
Big Transfer (BiT): General Visual Representation Learning	Dec 24, 2019	Few-Shot LearningFine-Grained Image Classification	CodeCode Available	2	5
PCP-MAE: Learning to Predict Centers for Point Masked Autoencoders	Aug 16, 2024	3D Object Classification3D Point Cloud Classification	CodeCode Available	2	5
PointGPT: Auto-regressively Generative Pre-training from Point Clouds	May 19, 2023	3D Point Cloud ClassificationDecoder	CodeCode Available	2	5
One Fits All:Power General Time Series Analysis by Pretrained LM	Feb 23, 2023	Anomaly DetectionFew-Shot Learning	CodeCode Available	2	5
Global Convergence and Generalization Bound of Gradient-Based Meta-Learning with Deep Neural Nets	Jun 25, 2020	Few-Shot LearningMeta-Learning	CodeCode Available	2	5
GraphCLIP: Enhancing Transferability in Graph Foundation Models for Text-Attributed Graphs	Oct 14, 2024	Few-Shot LearningTAG	CodeCode Available	2	5
Few-Shot Scene Classification of Optical Remote Sensing Images Leveraging Calibrated Pretext Tasks	Jul 6, 2022	Contrastive LearningFew-Shot Learning	CodeCode Available	2	5
A Survey of Time Series Foundation Models: Generalizing Time Series Representation with Large Language Model	May 3, 2024	Decision MakingFew-Shot Learning	CodeCode Available	2	5
Atlas: Few-shot Learning with Retrieval Augmented Language Models	Aug 5, 2022	Fact CheckingFew-Shot Learning	CodeCode Available	2	5
GR-MG: Leveraging Partially Annotated Data via Multi-Modal Goal-Conditioned Policy	Aug 26, 2024	Few-Shot LearningImage Generation	CodeCode Available	2	5
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	5
Advancing Plain Vision Transformer Towards Remote Sensing Foundation Model	Aug 8, 2022	Aerial Scene ClassificationFew-Shot Learning	CodeCode Available	2	5
Feature Learning in Infinite-Width Neural Networks	Nov 30, 2020	Few-Shot LearningTransfer Learning	CodeCode Available	2	5
Few-Shot Learning Patterns in Financial Time-Series for Trend-Following Strategies	Oct 16, 2023	Few-Shot LearningTime Series	CodeCode Available	2	5
Distilled Feature Fields Enable Few-Shot Language-Guided Manipulation	Jul 27, 2023	3D geometryFew-Shot Learning	CodeCode Available	2	5
FewJoint: A Few-shot Learning Benchmark for Joint Language Understanding	Sep 17, 2020	Few-Shot Learning	CodeCode Available	2	5
AnomalyDINO: Boosting Patch-based Few-shot Anomaly Detection with DINOv2	May 23, 2024	Anomaly DetectionAnomaly Segmentation	CodeCode Available	2	5

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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