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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 21–30 of 305 papers

TitleStatusHype
Adjoined Networks: A Training Paradigm with Applications to Network CompressionCode1
BaseTransformers: Attention over base data-points for One Shot LearningCode1
Dynamic Few-Shot Visual Learning without ForgettingCode1
An Overview of Deep Learning Architectures in Few-Shot Learning DomainCode1
CrossFi: A Cross Domain Wi-Fi Sensing Framework Based on Siamese NetworkCode1
One Line To Rule Them All: Generating LO-Shot Soft-Label PrototypesCode1
Detecting Hate Speech with GPT-3Code1
One-Shot Learning for Language ModellingCode1
Differentiable Wavetable SynthesisCode1
EfficientWord-Net: An Open Source Hotword Detection Engine based on One-shot LearningCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Siamese Neural NetworkAccuracy97.5—Unverified