SOTAVerified

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

Showing 9511000 of 2964 papers

TitleStatusHype
Diversity Transfer Network for Few-Shot LearningCode0
learn2learn: A Library for Meta-Learning ResearchCode0
A Flag Decomposition for Hierarchical DatasetsCode0
LEARN: A Unified Framework for Multi-Task Domain Adapt Few-Shot LearningCode0
LC-Protonets: Multi-Label Few-Shot Learning for World Music Audio TaggingCode0
Parameter-Efficient Cross-lingual Transfer of Vision and Language Models via Translation-based AlignmentCode0
Diverse Retrieval-Augmented In-Context Learning for Dialogue State TrackingCode0
Few-Shot Action Localization without Knowing BoundariesCode0
Diverse Few-Shot Text Classification with Multiple MetricsCode0
BioRAGent: A Retrieval-Augmented Generation System for Showcasing Generative Query Expansion and Domain-Specific Search for Scientific Q&ACode0
Layer-Wise Feature Metric of Semantic-Pixel Matching for Few-Shot LearningCode0
LaSO: Label-Set Operations networks for multi-label few-shot learningCode0
LAVA: Label-efficient Visual Learning and AdaptationCode0
An Ensemble of Epoch-wise Empirical Bayes for Few-shot LearningCode0
Large-Scale Few-Shot Learning: Knowledge Transfer With Class HierarchyCode0
Acquiring Bidirectionality via Large and Small Language ModelsCode0
Large Language Models Vote: Prompting for Rare Disease IdentificationCode0
LCNN: Lookup-based Convolutional Neural NetworkCode0
A Named Entity Recognition Corpus for Vietnamese Biomedical Texts to Support Tuberculosis TreatmentCode0
Bi-Matching Mechanism to Combat the Long Tail of Word Sense DisambiguationCode0
Large Language Models as Attribution Regularizers for Efficient Model TrainingCode0
EOL: Transductive Few-Shot Open-Set Recognition by Enhancing Outlier LogitsCode0
Direct multimodal few-shot learning of speech and imagesCode0
DiffKendall: A Novel Approach for Few-Shot Learning with Differentiable Kendall's Rank CorrelationCode0
Large Language Models are biased to overestimate profoundnessCode0
Towards Context-Agnostic Learning Using Synthetic DataCode0
L-HYDRA: Multi-Head Physics-Informed Neural NetworksCode0
Kernel Relative-prototype Spectral Filtering for Few-shot LearningCode0
Coloring With Limited Data: Few-Shot Colorization via Memory-Augmented NetworksCode0
Few-Shot Classification of Skin Lesions from Dermoscopic Images by Meta-Learning Representative EmbeddingsCode0
ASSERTIFY: Utilizing Large Language Models to Generate Assertions for Production CodeCode0
Preserving Fine-Grain Feature Information in Classification via Entropic RegularizationCode0
Beyond Textual Constraints: Learning Novel Diffusion Conditions with Fewer ExamplesCode0
Kajal: Extracting Grammar of a Source Code Using Large Language ModelsCode0
Dictionary-Assisted Supervised Contrastive LearningCode0
Beyond Scores: A Modular RAG-Based System for Automatic Short Answer Scoring with FeedbackCode0
Joint Graph Learning and Model Fitting in Laplacian Regularized Stratified ModelsCode0
Knowledge-Enhanced Multi-Label Few-Shot Product Attribute-Value ExtractionCode0
An AI-Powered VVPAT Counter for Elections in IndiaCode0
Investigating the Effect of Natural Language Explanations on Out-of-Distribution Generalization in Few-shot NLICode0
Detecting Statements in Text: A Domain-Agnostic Few-Shot SolutionCode0
Beyond Interpretability: The Gains of Feature Monosemanticity on Model RobustnessCode0
Interval Bound Interpolation for Few-shot Learning with Few TasksCode0
Do prompt positions really matter?Code0
Knowledge Graph Transfer Network for Few-Shot RecognitionCode0
IntellectSeeker: A Personalized Literature Management System with the Probabilistic Model and Large Language ModelCode0
Descriptor and Word Soups: Overcoming the Parameter Efficiency Accuracy Tradeoff for Out-of-Distribution Few-shot LearningCode0
Intelligence, physics and information -- the tradeoff between accuracy and simplicity in machine learningCode0
Instance-level Few-shot Learning with Class Hierarchy MiningCode0
Instance Selection Mechanisms for Human-in-the-Loop Systems in Few-Shot LearningCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1gpt-4-0125-previewAccuracy61.91Unverified
2gpt-4-0125-previewAccuracy52.49Unverified
3gpt-3.5-turboAccuracy41.48Unverified
4gpt-3.5-turboAccuracy37.06Unverified
5johnsnowlabs/JSL-MedMNX-7BAccuracy25.63Unverified
6yikuan8/Clinical-LongformerAccuracy25.55Unverified
7BioMistral/BioMistral-7B-DAREAccuracy25.06Unverified
8yikuan8/Clinical-LongformerAccuracy25.04Unverified
9PharMolix/BioMedGPT-LM-7BAccuracy24.92Unverified
10PharMolix/BioMedGPT-LM-7BAccuracy24.75Unverified
#ModelMetricClaimedVerifiedStatus
1Variational Prompt TuningHarmonic mean67.27Unverified
2SaSPA + CAL4-shot Accuracy48.3Unverified
3Real-Guidance + CAL4-shot Accuracy41.5Unverified
4CAL4-shot Accuracy40.9Unverified
#ModelMetricClaimedVerifiedStatus
1SaSPA + CALHarmonic mean52.2Unverified
2CALHarmonic mean35.2Unverified
3Variational Prompt TuningHarmonic mean34.69Unverified
4Real-Guidance + CALHarmonic mean34.5Unverified
#ModelMetricClaimedVerifiedStatus
1BGNNAccuracy92.7Unverified
2TIM-GDAccuracy87.4Unverified
3UNEM-GaussianAccuracy66.4Unverified
#ModelMetricClaimedVerifiedStatus
1EASY (transductive)Accuracy82.75Unverified
2HCTransformers5 way 1~2 shot74.74Unverified
3HyperShotAccuracy53.18Unverified
#ModelMetricClaimedVerifiedStatus
1SaSPA + CAL4-shot Accuracy66.7Unverified
2Real-Guidance + CAL4-shot Accuracy44.3Unverified
3CAL4-shot Accuracy42.2Unverified
#ModelMetricClaimedVerifiedStatus
1HCTransformersAcc74.74Unverified
2DPGNAcc67.6Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAG (zero-shot)Accuracy77.9Unverified
2CoT-T5-11B (1024 Shot)Accuracy73.42Unverified
#ModelMetricClaimedVerifiedStatus
1Variational Prompt TuningHarmonic mean96.44Unverified
#ModelMetricClaimedVerifiedStatus
1CoT-T5-11B (1024 Shot)Accuracy68.3Unverified
#ModelMetricClaimedVerifiedStatus
1Variational Prompt TuningHarmonic mean77.71Unverified
#ModelMetricClaimedVerifiedStatus
1Variational Prompt TuningHarmonic mean81.12Unverified
#ModelMetricClaimedVerifiedStatus
1Variational Prompt TuningHarmonic mean91.57Unverified
#ModelMetricClaimedVerifiedStatus
1CovidExpertAUC-ROC1Unverified
#ModelMetricClaimedVerifiedStatus
1CoT-T5-11B (1024 Shot)Accuracy78.02Unverified
#ModelMetricClaimedVerifiedStatus
1UNEM-GaussianAccuracy65.7Unverified
#ModelMetricClaimedVerifiedStatus
1UNEM-GaussianAccuracy73.2Unverified
#ModelMetricClaimedVerifiedStatus
1Variational Prompt TuningHarmonic mean96.82Unverified
#ModelMetricClaimedVerifiedStatus
1Variational Prompt TuningHarmonic mean73.07Unverified
#ModelMetricClaimedVerifiedStatus
1Variational Prompt TuningHarmonic mean78.51Unverified
#ModelMetricClaimedVerifiedStatus
1UNEM-GaussianAccuracy52.3Unverified
#ModelMetricClaimedVerifiedStatus
1Variational Prompt TuningHarmonic mean79Unverified