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 601650 of 2964 papers

TitleStatusHype
FAITH: Few-Shot Graph Classification with Hierarchical Task GraphsCode1
Meta-Learning of Neural Architectures for Few-Shot LearningCode1
Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive ProcessesCode1
FDFtNet: Facing Off Fake Images using Fake Detection Fine-tuning NetworkCode1
Fast Learning of Dynamic Hand Gesture Recognition with Few-Shot Learning ModelsCode1
Meta-Learning with Adaptive HyperparametersCode1
Cross-Modal Augmentation for Few-Shot Multimodal Fake News DetectionCode1
Alleviating the Sample Selection Bias in Few-shot Learning by Removing Projection to the CentroidCode1
FewSAR: A Few-shot SAR Image Classification BenchmarkCode1
Federated Few-Shot Learning for Mobile NLPCode1
All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph PretrainingCode1
FETA: Towards Specializing Foundation Models for Expert Task ApplicationsCode1
FewCLUE: A Chinese Few-shot Learning Evaluation BenchmarkCode1
Laplacian Regularized Few-Shot LearningCode1
Few-shot bioacoustic event detection at the DCASE 2023 challengeCode1
Meta-SGD: Learning to Learn Quickly for Few-Shot LearningCode1
DeIL: Direct-and-Inverse CLIP for Open-World Few-Shot LearningCode1
Few-Shot and Continual Learning with Attentive Independent MechanismsCode1
Meta-Transfer Learning through Hard TasksCode1
Few-Shot Bot: Prompt-Based Learning for Dialogue SystemsCode1
Deformation-Recovery Diffusion Model (DRDM): Instance Deformation for Image Manipulation and SynthesisCode1
Few-shot Classification via Adaptive AttentionCode1
CoNeRF: Controllable Neural Radiance FieldsCode1
Few-Shot Document-Level Relation ExtractionCode1
Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language ModelsCode1
Few-Shot Emotion Recognition in Conversation with Sequential Prototypical NetworksCode1
D^2ST-Adapter: Disentangled-and-Deformable Spatio-Temporal Adapter for Few-shot Action RecognitionCode1
Few-shot Learner Parameterization by Diffusion Time-stepsCode1
DenoiSeg: Joint Denoising and SegmentationCode1
MOLE: Metadata Extraction and Validation in Scientific Papers Using LLMsCode1
Few-Shot Learning Enables Population-Scale Analysis of Leaf Traits in Populus trichocarpaCode1
Large Language Models Are Latent Variable Models: Explaining and Finding Good Demonstrations for In-Context LearningCode1
Data Distributional Properties Drive Emergent In-Context Learning in TransformersCode1
Few-Shot Learning by Integrating Spatial and Frequency RepresentationCode1
Few-Shot Learning for Opinion SummarizationCode1
Few-shot Decoding of Brain Activation MapsCode1
Multi-view Contrastive Learning for Online Knowledge DistillationCode1
Mutual Contrastive Learning for Visual Representation LearningCode1
Large Language Models as Biomedical Hypothesis Generators: A Comprehensive EvaluationCode1
Deep Metric Learning for Open World Semantic SegmentationCode1
A Survey: Deep Learning for Hyperspectral Image Classification with Few Labeled SamplesCode1
LASP: Text-to-Text Optimization for Language-Aware Soft Prompting of Vision & Language ModelsCode1
A Comprehensive Evaluation of Multi-task Learning and Multi-task Pre-training on EHR Time-series DataCode1
Few-Shot Learning with a Strong TeacherCode1
Few-shot Learning with Multilingual Language ModelsCode1
Few-Shot Named Entity Recognition: A Comprehensive StudyCode1
Language Quantized AutoEncoders: Towards Unsupervised Text-Image AlignmentCode1
Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark StudyCode1
BankNote-Net: Open dataset for assistive universal currency recognitionCode1
Concept Learners 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