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 12511300 of 2964 papers

TitleStatusHype
Few-shot Learning for Multi-modal Social Media Event FilteringCode0
Hidden Entity Detection from GitHub Leveraging Large Language ModelsCode0
AI-Assisted Colonoscopy: Polyp Detection and Segmentation using Foundation ModelsCode0
PACIA: Parameter-Efficient Adapter for Few-Shot Molecular Property PredictionCode0
Implicit Geometry and Interaction Embeddings Improve Few-Shot Molecular Property PredictionCode0
Harnessing Large Language Models Over Transformer Models for Detecting Bengali Depressive Social Media Text: A Comprehensive StudyCode0
AutoProtoNet: Interpretability for Prototypical NetworksCode0
Few-Shot Learning for Image Classification of Common FloraCode0
GSHOT: Few-shot Generative Modeling of Labeled GraphsCode0
Gaussian Process Emulators for Few-Shot Segmentation in Cardiac MRICode0
Gaussian Prototypical Networks for Few-Shot Learning on OmniglotCode0
MISE: Meta-knowledge Inheritance for Social Media-Based Stressor EstimationCode0
Hebbian and Gradient-based Plasticity Enables Robust Memory and Rapid Learning in RNNsCode0
ALPaCA vs. GP-based Prior Learning: A Comparison between two Bayesian Meta-Learning AlgorithmsCode0
Hierarchical Variational Memory for Few-shot Learning Across DomainsCode0
GeneMask: Fast Pretraining of Gene Sequences to Enable Few-Shot LearningCode0
Grasping the Essentials: Tailoring Large Language Models for Zero-Shot Relation ExtractionCode0
Grid Cell Path Integration For Movement-Based Visual Object RecognitionCode0
Few-shot learning for COVID-19 Chest X-Ray Classification with Imbalanced Data: An Inter vs. Intra Domain StudyCode0
Few-Shot Learning with Localization in Realistic SettingsCode0
Graph Few-shot Learning via Knowledge TransferCode0
Graph Few-shot Learning with Task-specific StructuresCode0
Hierarchy-based Image Embeddings for Semantic Image RetrievalCode0
Generalized Knowledge Distillation via Relationship MatchingCode0
Conditional Prototype Rectification Prompt LearningCode0
Few-Shot Learning for Argument Aspects of the Nuclear Energy DebateCode0
GPT-3 Models are Poor Few-Shot Learners in the Biomedical DomainCode0
Multidimensional Belief Quantification for Label-Efficient Meta-LearningCode0
Conceptual Design Generation Using Large Language ModelsCode0
ConceptSearch: Towards Efficient Program Search Using LLMs for Abstraction and Reasoning Corpus (ARC)Code0
GPS: Genetic Prompt Search for Efficient Few-shot LearningCode0
Concept Replacer: Replacing Sensitive Concepts in Diffusion Models via Precision LocalizationCode0
Few-Shot Learning by Explicit Physics Integration: An Application to Groundwater Heat TransportCode0
Gotta Learn Fast: A New Benchmark for Generalization in RLCode0
Generalizing from a Few Examples: A Survey on Few-Shot LearningCode0
Global Convolutional Neural ProcessesCode0
Adaptive Cross-Modal Few-Shot LearningCode0
Few-shot Learning as Cluster-induced Voronoi Diagrams: A Geometric ApproachCode0
GOGGLES: Automatic Image Labeling with Affinity CodingCode0
Graph convolutional networks for learning with few clean and many noisy labelsCode0
High-order structure preserving graph neural network for few-shot learningCode0
A Zero-Shot LLM Framework for Automatic Assignment Grading in Higher EducationCode0
Reasoning Graph Enhanced Exemplars Retrieval for In-Context LearningCode0
Few-Shot Learning Approach on Tuberculosis Classification Based on Chest X-Ray Images0
Few-shot learning approaches for classifying low resource domain specific software requirements0
Few-Shot Knowledge Graph Completion with Data Fusion and Augmentation0
A Study of Few-Shot Audio Classification0
Few-shot Intent Classification and Slot Filling with Retrieved Examples0
Few-Shot Incremental Learning for Label-to-Image Translation0
Few-Shot In-Context Imitation Learning via Implicit Graph Alignment0
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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