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 301350 of 2964 papers

TitleStatusHype
Few-Shot Learning by Dimensionality Reduction in Gradient SpaceCode1
Few-Shot Learning by Integrating Spatial and Frequency RepresentationCode1
Alleviating the Sample Selection Bias in Few-shot Learning by Removing Projection to the CentroidCode1
Context-enriched molecule representations improve few-shot drug discoveryCode1
Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot LearningCode1
Few-Shot Learning on Graphs via Super-Classes based on Graph Spectral MeasuresCode1
Few-shot Learning with Class-Covariance Metric for Hyperspectral Image ClassificationCode1
Few-Shot Learning with Class ImbalanceCode1
RARR: Researching and Revising What Language Models Say, Using Language ModelsCode1
Few-shot Learning with Noisy LabelsCode1
Automatic Label Sequence Generation for Prompting Sequence-to-sequence ModelsCode1
Constellation Nets for Few-Shot LearningCode1
Concept Learners for Few-Shot LearningCode1
Compressing Lengthy Context With UltraGistCode1
Consistency-guided Prompt Learning for Vision-Language ModelsCode1
Few-Shot Named Entity Recognition: A Comprehensive StudyCode1
CoNeRF: Controllable Neural Radiance FieldsCode1
Few-shot Network Anomaly Detection via Cross-network Meta-learningCode1
Context-Transformer: Tackling Object Confusion for Few-Shot DetectionCode1
Few-Shot Bot: Prompt-Based Learning for Dialogue SystemsCode1
A Comprehensive Evaluation of Multi-task Learning and Multi-task Pre-training on EHR Time-series DataCode1
Covariate Distribution Aware Meta-learningCode1
Few Shot Learning Framework to Reduce Inter-observer Variability in Medical ImagesCode1
FewshotQA: A simple framework for few-shot learning of question answering tasks using pre-trained text-to-text modelsCode1
Few-Shot Semantic Parsing for New PredicatesCode1
Few-Shot Single-View 3-D Object Reconstruction with Compositional PriorsCode1
Replication: Contrastive Learning and Data Augmentation in Traffic Classification Using a Flowpic Input RepresentationCode1
FETA: Towards Specializing Foundation Models for Expert Task ApplicationsCode1
Contrastive Meta-Learning for Partially Observable Few-Shot LearningCode1
BECLR: Batch Enhanced Contrastive Few-Shot LearningCode1
Cost-effective Instruction Learning for Pathology Vision and Language AnalysisCode1
Few-Shot Video Object DetectionCode1
A Modern Self-Referential Weight Matrix That Learns to Modify ItselfCode1
Fine-grained Angular Contrastive Learning with Coarse LabelsCode1
AdaptKeyBERT: An Attention-Based approach towards Few-Shot & Zero-Shot Domain Adaptation of KeyBERTCode1
COVID-19 detection from scarce chest x-ray image data using few-shot deep learning approachCode1
Attentive Weights Generation for Few Shot Learning via Information MaximizationCode1
Better Generalized Few-Shot Learning Even Without Base DataCode1
FLEX: Unifying Evaluation for Few-Shot NLPCode1
Cross-Domain Few-Shot Learning by Representation FusionCode1
FewCLUE: A Chinese Few-shot Learning Evaluation BenchmarkCode1
Cross-domain Few-shot Object Detection with Multi-modal Textual EnrichmentCode1
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLPCode1
From LSAT: The Progress and Challenges of Complex ReasoningCode1
FSCE: Few-Shot Object Detection via Contrastive Proposal EncodingCode1
Fuzzy Graph Neural Network for Few-Shot LearningCode1
Cross-Modal Augmentation for Few-Shot Multimodal Fake News DetectionCode1
D^2ST-Adapter: Disentangled-and-Deformable Spatio-Temporal Adapter for Few-shot Action RecognitionCode1
Charting the Right Manifold: Manifold Mixup for Few-shot LearningCode1
CLARA: Multilingual Contrastive Learning for Audio Representation AcquisitionCode1
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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