SOTAVerified

One-Shot Learning

One-shot learning is the task of learning information about object categories from a single training example.

( Image credit: Siamese Neural Networks for One-shot Image Recognition )

Papers

Showing 125 of 305 papers

TitleStatusHype
Ludwig: a type-based declarative deep learning toolboxCode3
PsyDT: Using LLMs to Construct the Digital Twin of Psychological Counselor with Personalized Counseling Style for Psychological CounselingCode3
Prototypical Networks for Few-shot LearningCode2
One-Shot Learning as Instruction Data Prospector for Large Language ModelsCode1
Model-Agnostic Meta-Learning for Fast Adaptation of Deep NetworksCode1
One-Shot Instance SegmentationCode1
Grounded Language Learning Fast and SlowCode1
Dynamic Few-Shot Visual Learning without ForgettingCode1
EfficientWord-Net: An Open Source Hotword Detection Engine based on One-shot LearningCode1
FETA: Towards Specializing Foundation Models for Expert Task ApplicationsCode1
'Less Than One'-Shot Learning: Learning N Classes From M<N SamplesCode1
Matching Networks for One Shot LearningCode1
One Line To Rule Them All: Generating LO-Shot Soft-Label PrototypesCode1
CrossFi: A Cross Domain Wi-Fi Sensing Framework Based on Siamese NetworkCode1
CoreDiff: Contextual Error-Modulated Generalized Diffusion Model for Low-Dose CT Denoising and GeneralizationCode1
An In-Depth Evaluation of Federated Learning on Biomedical Natural Language ProcessingCode1
Differentiable Wavetable SynthesisCode1
Anatomical Data Augmentation via Fluid-based Image RegistrationCode1
Efficient Cross-Validation of Echo State NetworksCode1
Efficient implementations of echo state network cross-validationCode1
Adjoined Networks: A Training Paradigm with Applications to Network CompressionCode1
BaseTransformers: Attention over base data-points for One Shot LearningCode1
Detecting Hate Speech with GPT-3Code1
An Overview of Deep Learning Architectures in Few-Shot Learning DomainCode1
Echo-SyncNet: Self-supervised Cardiac View Synchronization in EchocardiographyCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Siamese Neural NetworkAccuracy97.5Unverified