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 1–25 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
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
LLMs are One-Shot URL Classifiers and Explainers—0
Direct Data-Driven Discounted Infinite Horizon Linear Quadratic Regulator with Robustness GuaranteesCode0
One-Shot Learning for Pose-Guided Person Image Synthesis in the WildCode1
Abstracted Gaussian Prototypes for One-Shot Concept LearningCode0
One-Shot Learning Meets Depth Diffusion in Multi-Object Videos—0
Emulating Brain-like Rapid Learning in Neuromorphic Edge ComputingCode0
CrossFi: A Cross Domain Wi-Fi Sensing Framework Based on Siamese NetworkCode1
Correlation Weighted Prototype-based Self-Supervised One-Shot Segmentation of Medical Images—0
MU-MAE: Multimodal Masked Autoencoders-Based One-Shot Learning—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Siamese Neural NetworkAccuracy97.5—Unverified