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 451500 of 2964 papers

TitleStatusHype
ChemEval: A Comprehensive Multi-Level Chemical Evaluation for Large Language ModelsCode1
Few-shot Learning with Noisy LabelsCode1
Few-shot Learning with Multilingual Language ModelsCode1
Few-shot Learning with LSSVM Base Learner and Transductive ModulesCode1
Clinical-Longformer and Clinical-BigBird: Transformers for long clinical sequencesCode1
ClinicalMamba: A Generative Clinical Language Model on Longitudinal Clinical NotesCode1
Few-Shot Learning with Siamese Networks and Label TuningCode1
CLIP2Point: Transfer CLIP to Point Cloud Classification with Image-Depth Pre-trainingCode1
CLIP2Scene: Towards Label-efficient 3D Scene Understanding by CLIPCode1
Few-Shot Medical Image Segmentation via a Region-enhanced Prototypical TransformerCode1
Covariate Distribution Aware Meta-learningCode1
Modelling Latent Translations for Cross-Lingual TransferCode1
GPU-based Self-Organizing Maps for Post-Labeled Few-Shot Unsupervised LearningCode1
FewshotQA: A simple framework for few-shot learning of question answering tasks using pre-trained text-to-text modelsCode1
Few-Shot Named Entity Recognition: A Comprehensive StudyCode1
Graph Information Aggregation Cross-Domain Few-Shot Learning for Hyperspectral Image ClassificationCode1
Contrastive Prototypical Network with Wasserstein Confidence PenaltyCode1
CLUES: Few-Shot Learning Evaluation in Natural Language UnderstandingCode1
Artistic Glyph Image Synthesis via One-Stage Few-Shot LearningCode1
Multistage Relation Network With Dual-Metric for Few-Shot Hyperspectral Image ClassificationCode1
Contrastive Meta-Learning for Partially Observable Few-Shot LearningCode1
AdapterHub Playground: Simple and Flexible Few-Shot Learning with AdaptersCode1
Mutual-Information Based Few-Shot ClassificationCode1
MVREC: A General Few-shot Defect Classification Model Using Multi-View Region-ContextCode1
Few-Shot One-Class Classification via Meta-LearningCode1
Few-shot Open-set Recognition by Transformation ConsistencyCode1
Few-Shot Open-Set Learning for On-Device Customization of KeyWord Spotting SystemsCode1
Convolutional Bypasses Are Better Vision Transformer AdaptersCode1
A Simple Exponential Family Framework for Zero-Shot LearningCode1
COVID-19 detection from scarce chest x-ray image data using few-shot deep learning approachCode1
A Closer Look at Few-Shot 3D Point Cloud ClassificationCode1
CodeIE: Large Code Generation Models are Better Few-Shot Information ExtractorsCode1
Code Summarization Beyond Function LevelCode1
Few-shot Slot Tagging with Collapsed Dependency Transfer and Label-enhanced Task-adaptive Projection NetworkCode1
AskIt: Unified Programming Interface for Programming with Large Language ModelsCode1
Few-Shot Video Object DetectionCode1
Replication: Contrastive Learning and Data Augmentation in Traffic Classification Using a Flowpic Input RepresentationCode1
Non-Gaussian Gaussian Processes for Few-Shot RegressionCode1
Not All Features Matter: Enhancing Few-shot CLIP with Adaptive Prior RefinementCode1
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLPCode1
FewVS: A Vision-Semantics Integration Framework for Few-Shot Image ClassificationCode1
Fine-grained Angular Contrastive Learning with Coarse LabelsCode1
Understanding the Role of Textual Prompts in LLM for Time Series Forecasting: an Adapter ViewCode1
Graph Meta Learning via Local SubgraphsCode1
A Closer Look at Few-shot ClassificationCode1
Finetune like you pretrain: Improved finetuning of zero-shot vision modelsCode1
FiT: Parameter Efficient Few-shot Transfer Learning for Personalized and Federated Image ClassificationCode1
Free Lunch for Few-shot Learning: Distribution CalibrationCode1
How to train your MAMLCode1
Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot LearningCode1
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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