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 1–10 of 305 papers

TitleStatusHype
Adaptive Noise Resilient Keyword Spotting Using One-Shot Learning—0
Interactive Instance Annotation with Siamese Networks—0
Federated One-Shot Learning with Data Privacy and Objective-Hiding—0
Transductive One-Shot Learning Meet Subspace Decomposition—0
PVChat: Personalized Video Chat with One-Shot Learning—0
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
PsyDT: Using LLMs to Construct the Digital Twin of Psychological Counselor with Personalized Counseling Style for Psychological CounselingCode3
The use of large language models to enhance cancer clinical trial educational materials—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Siamese Neural NetworkAccuracy97.5—Unverified