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 41–50 of 305 papers

TitleStatusHype
Representing Signs as Signs: One-Shot ISLR to Facilitate Functional Sign Language Technologies—0
One-Shot Learning for k-SAT—0
Mathematics of Digital Twins and Transfer Learning for PDE Models—0
The use of large language models to enhance cancer clinical trial educational materials—0
Fusion Matters: Learning Fusion in Deep Click-through Rate Prediction ModelsCode0
Take Package as Language: Anomaly Detection Using TransformerCode0
One-Shot Manipulation Strategy Learning by Making Contact Analogies—0
Supervised Learning without Backpropagation using Spike-Timing-Dependent Plasticity for Image RecognitionCode0
RePD: Defending Jailbreak Attack through a Retrieval-based Prompt Decomposition Process—0
SeqNet: Sequential Networks for One-Shot Traffic Sign Recognition With Transfer LearningCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Siamese Neural NetworkAccuracy97.5—Unverified