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 28512900 of 2964 papers

TitleStatusHype
Low-Shot Learning from Imaginary 3D Model0
An Investigation of Few-Shot Learning in Spoken Term ClassificationCode0
Meta Architecture SearchCode0
Learning Compositional Representations for Few-Shot Recognition0
Reconciling meta-learning and continual learning with online mixtures of tasks0
Prior-Knowledge and Attention-based Meta-Learning for Few-Shot Learning0
Few-Shot Learning via Embedding Adaptation with Set-to-Set FunctionsCode1
Meta-Transfer Learning for Few-Shot LearningCode1
Generalized Zero- and Few-Shot Learning via Aligned Variational AutoencodersCode0
Few-shot Object Detection via Feature ReweightingCode1
The effects of negative adaptation in Model-Agnostic Meta-Learning0
MetaGAN: An Adversarial Approach to Few-Shot Learning0
Adapted Deep Embeddings: A Synthesis of Methods for k-Shot Inductive Transfer LearningCode0
Cross-Modulation Networks for Few-Shot Learning0
Unsupervised Meta-Learning For Few-Shot Image Classification0
One-Shot Instance SegmentationCode1
IDD: A Dataset for Exploring Problems of Autonomous Navigation in Unconstrained EnvironmentsCode0
Self Paced Adversarial Training for Multimodal Few-shot Learning0
Representation based and Attention augmented Meta learning0
RelationNet2: Deep Comparison Columns for Few-Shot LearningCode0
Few-shot Learning for Named Entity Recognition in Medical TextCode0
Power Normalizing Second-order Similarity Network for Few-shot Learning0
Few-shot learning with attention-based sequence-to-sequence models0
Class-Agnostic CountingCode0
Learning Cross-Lingual Sentence Representations via a Multi-task Dual-Encoder Model0
Gaussian Process Conditional Density Estimation0
FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art EvaluationCode0
How to train your MAMLCode1
Zero and Few Shot Learning with Semantic Feature Synthesis and Competitive Learning0
Transferrable Feature and Projection Learning with Class Hierarchy for Zero-Shot Learning0
Incremental Few-Shot Learning with Attention Attractor NetworksCode0
Comparison-Based Convolutional Neural Networks for Cervical Cell/Clumps Detection in the Limited Data ScenarioCode0
Task-Embedded Control Networks for Few-Shot Imitation LearningCode0
Open-Ended Content-Style Recombination Via Leakage Filtering0
Variadic Learning by Bayesian Nonparametric Deep Embedding0
Hierarchy-based Image Embeddings for Semantic Image RetrievalCode0
One-shot Learning for iEEG Seizure Detection Using End-to-end Binary Operations: Local Binary Patterns with Hyperdimensional Computing0
Few-Shot Human Motion Prediction via Meta-Learning0
Interpolating Convolutional Neural Networks Using Batch Normalization0
Neural Graph Matching Networks for Fewshot 3D Action Recognition0
Museum Exhibit Identification Challenge for the Supervised Domain Adaptation and Beyond0
Dynamic Conditional Networks for Few-Shot Learning0
Open Set Chinese Character Recognition using Multi-typed Attributes0
Few Shot Learning with Simplex0
Few-Shot Adaptation for Multimedia Semantic Indexing0
Meta-Learning with Latent Embedding OptimizationCode1
Large Margin Few-Shot Learning0
Attention-based Few-Shot Person Re-identification Using Meta Learning0
Uncertainty in Multitask Transfer Learning0
Bilevel Programming for Hyperparameter Optimization and Meta-Learning0
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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