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 51–100 of 305 papers

TitleStatusHype
One-shot recognition of any material anywhere using contrastive learning with physics-based renderingCode0
A Deep One-Shot Network for Query-based Logo RetrievalCode0
Towards One-Shot Learning for Text Classification using Inductive Logic ProgrammingCode0
Predicting Brain Multigraph Population From a Single Graph Template for Boosting One-Shot ClassificationCode0
Contour Transformer Network for One-shot Segmentation of Anatomical StructuresCode0
One-shot Joint Extraction, Registration and Segmentation of Neuroimaging DataCode0
Few-Shot Adversarial Learning of Realistic Neural Talking Head ModelsCode0
One Shot Learning for Deformable Medical Image Registration and Periodic Motion TrackingCode0
One-shot skill assessment in high-stakes domains with limited data via meta learningCode0
SeqNet: Sequential Networks for One-Shot Traffic Sign Recognition With Transfer LearningCode0
One Representative-Shot Learning Using a Population-Driven Template with Application to Brain Connectivity Classification and Evolution PredictionCode0
Deep Reinforcement One-Shot Learning for Artificially Intelligent Classification SystemsCode0
One-shot Detail Retouching with Patch Space Neural Transformation BlendingCode0
One-Shot Imitation from Observing Humans via Domain-Adaptive Meta-LearningCode0
Multi-level Semantic Feature Augmentation for One-shot LearningCode0
Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual RecognitionCode0
Multimodal One-Shot Learning of Speech and ImagesCode0
Memory-enriched computation and learning in spiking neural networks through Hebbian plasticityCode0
Emulating Brain-like Rapid Learning in Neuromorphic Edge ComputingCode0
BAE-NET: Branched Autoencoder for Shape Co-SegmentationCode0
MergedNET: A simple approach for one-shot learning in siamese networks based on similarity layersCode0
Simultaneous Perturbation Method for Multi-Task Weight Optimization in One-Shot Meta-LearningCode0
Image Deformation Meta-Networks for One-Shot LearningCode0
Learning to learn with backpropagation of Hebbian plasticityCode0
Learning New Tasks from a Few Examples with Soft-Label PrototypesCode0
A Named Entity Recognition Corpus for Vietnamese Biomedical Texts to Support Tuberculosis TreatmentCode0
Learning Symbolic Task Representation from a Human-Led Demonstration: A Memory to Store, Retrieve, Consolidate, and Forget ExperiencesCode0
Learning to Remember Rare EventsCode0
Make SVM great again with Siamese kernel for few-shot learningCode0
Encoding Matching Criteria for Cross-domain Deformable Image RegistrationCode0
Abstracted Gaussian Prototypes for One-Shot Concept LearningCode0
An EMG Gesture Recognition System with Flexible High-Density Sensors and Brain-Inspired High-Dimensional ClassifierCode0
Active One-shot LearningCode0
Meta-Meta Classification for One-Shot LearningCode0
Direct Data-Driven Discounted Infinite Horizon Linear Quadratic Regulator with Robustness GuaranteesCode0
Attentive Recurrent ComparatorsCode0
Learning from similarity and information extraction from structured documentsCode0
Improving Siamese Networks for One Shot Learning using Kernel Based Activation functionsCode0
Self-similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-identificationCode0
It's DONE: Direct ONE-shot learning with quantile weight imprintingCode0
A Kings Ransom for Encryption: Ransomware Classification using Augmented One-Shot Learning and Bayesian ApproximationCode0
Few-Shot Knowledge Graph CompletionCode0
Deep Triplet Ranking Networks for One-Shot RecognitionCode0
For Manifold Learning, Deep Neural Networks can be Locality Sensitive Hash FunctionsCode0
Fusion Matters: Learning Fusion in Deep Click-through Rate Prediction ModelsCode0
Generalization in Machine Learning via Analytical Learning TheoryCode0
A Feature-based Generalizable Prediction Model for Both Perceptual and Abstract ReasoningCode0
Supervised Learning without Backpropagation using Spike-Timing-Dependent Plasticity for Image RecognitionCode0
JARVix at SemEval-2022 Task 2: It Takes One to Know One? Idiomaticity Detection using Zero and One-Shot LearningCode0
Learning Spatially-Adaptive Squeeze-Excitation Networks for Image Synthesis and Image RecognitionCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Siamese Neural NetworkAccuracy97.5—Unverified