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 1551–1575 of 2964 papers

Title	Date	Tasks	Status	Hype
POODLE: Improving Few-shot Learning via Penalizing Out-of-Distribution Samples	Jun 8, 2022	Few-Shot Learning	CodeCode Available	1
Metric Based Few-Shot Graph Classification	Jun 8, 2022	ClassificationData Augmentation	CodeCode Available	1
Few-Shot Learning by Dimensionality Reduction in Gradient Space	Jun 7, 2022	Dimensionality ReductionFew-Shot Learning	CodeCode Available	1
Making Large Language Models Better Reasoners with Step-Aware Verifier	Jun 6, 2022	Arithmetic ReasoningFew-Shot Learning	—Unverified	0
The Spike Gating Flow: A Hierarchical Structure Based Spiking Neural Network for Online Gesture Recognition	Jun 4, 2022	Action RecognitionFew-Shot Learning	CodeCode Available	0
Robust Meta-learning with Sampling Noise and Label Noise via Eigen-Reptile	Jun 4, 2022	Few-Shot LearningMeta-Learning	CodeCode Available	0
Guided Deep Metric Learning	Jun 4, 2022	Few-Shot LearningKnowledge Distillation	—Unverified	0
Code Generation Tools (Almost) for Free? A Study of Few-Shot, Pre-Trained Language Models on Code	Jun 2, 2022	Code GenerationFew-Shot Learning	—Unverified	0
Metaphor Detection for Low Resource Languages: From Zero-Shot to Few-Shot Learning in Middle High German	Jun 1, 2022	Few-Shot LearningWord Embeddings	CodeCode Available	0
Few-Shot Learning for Argument Aspects of the Nuclear Energy Debate	Jun 1, 2022	Argument MiningFew-Shot Learning	CodeCode Available	0
Turkish Universal Conceptual Cognitive Annotation	Jun 1, 2022	Few-Shot Learning	—Unverified	0
A Named Entity Recognition Corpus for Vietnamese Biomedical Texts to Support Tuberculosis Treatment	Jun 1, 2022	DiagnosticFew-Shot Learning	CodeCode Available	0
Cross-lingual Approaches for the Detection of Adverse Drug Reactions in German from a Patient’s Perspective	Jun 1, 2022	Binary ClassificationFew-Shot Learning	CodeCode Available	0
FHIST: A Benchmark for Few-shot Classification of Histological Images	May 31, 2022	ClassificationFew-Shot Learning	—Unverified	0
HyperMAML: Few-Shot Adaptation of Deep Models with Hypernetworks	May 31, 2022	Few-Shot LearningMeta-Learning	CodeCode Available	1
Meta-ticket: Finding optimal subnetworks for few-shot learning within randomly initialized neural networks	May 31, 2022	Few-Shot LearningMeta-Learning	CodeCode Available	0
Few-Shot Diffusion Models	May 30, 2022	DenoisingFew-Shot Learning	CodeCode Available	1
Zero-Shot and Few-Shot Learning for Lung Cancer Multi-Label Classification using Vision Transformer	May 30, 2022	Few-Shot LearningLung Cancer Diagnosis	—Unverified	0
Task-Prior Conditional Variational Auto-Encoder for Few-Shot Image Classification	May 30, 2022	Few-Shot Image ClassificationFew-Shot Learning	—Unverified	0
Easter2.0: Improving convolutional models for handwritten text recognition	May 30, 2022	Data AugmentationFew-Shot Learning	CodeCode Available	1
Prompt-aligned Gradient for Prompt Tuning	May 30, 2022	Domain AdaptationFew-Shot Learning	CodeCode Available	1
Prompting ELECTRA: Few-Shot Learning with Discriminative Pre-Trained Models	May 30, 2022	Few-Shot LearningText Infilling	CodeCode Available	1
Spatio-Temporal Graph Few-Shot Learning with Cross-City Knowledge Transfer	May 27, 2022	Few-Shot LearningGraph Learning	CodeCode Available	1
Bongard-HOI: Benchmarking Few-Shot Visual Reasoning for Human-Object Interactions	May 27, 2022	BenchmarkingFew-Shot Image Classification	CodeCode Available	1
Learning Dialogue Representations from Consecutive Utterances	May 26, 2022	Contrastive LearningConversational Question Answering	CodeCode Available	1

Show:10 25 50

← PrevPage 63 of 119Next →

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