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
A few-shot learning approach with domain adaptation for personalized real-life stress detection in close relationshipsCode0
Non-Local Representation based Mutual Affine-Transfer Network for Photorealistic StylizationCode0
Fusion Matters: Learning Fusion in Deep Click-through Rate Prediction ModelsCode0
A Novel Embedding Architecture and Score Level Fusion Scheme for Occluded Image Acquisition in Ear Biometrics SystemCode0
Contour Transformer Network for One-shot Segmentation of Anatomical StructuresCode0
One-shot Learning with Memory-Augmented Neural NetworksCode0
Take Package as Language: Anomaly Detection Using TransformerCode0
One-Shot Imitation from Observing Humans via Domain-Adaptive Meta-LearningCode0
One-shot skill assessment in high-stakes domains with limited data via meta learningCode0
One-shot Joint Extraction, Registration and Segmentation of Neuroimaging DataCode0
One-shot Detail Retouching with Patch Space Neural Transformation BlendingCode0
Deep Reinforcement One-Shot Learning for Artificially Intelligent Classification SystemsCode0
Simultaneous Perturbation Method for Multi-Task Weight Optimization in One-Shot Meta-LearningCode0
Multimodal One-Shot Learning of Speech and ImagesCode0
Self-similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-identificationCode0
Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual RecognitionCode0
Active One-shot LearningCode0
MergedNET: A simple approach for one-shot learning in siamese networks based on similarity layersCode0
Make SVM great again with Siamese kernel for few-shot learningCode0
Emulating Brain-like Rapid Learning in Neuromorphic Edge ComputingCode0
BAE-NET: Branched Autoencoder for Shape Co-SegmentationCode0
Multi-level Semantic Feature Augmentation for One-shot LearningCode0
One Shot Learning for Deformable Medical Image Registration and Periodic Motion TrackingCode0
AutoTinyBERT: Automatic Hyper-parameter Optimization for Efficient Pre-trained Language ModelsCode0
Learning to Remember Rare EventsCode0
Image Deformation Meta-Networks for One-Shot LearningCode0
Learning Symbolic Task Representation from a Human-Led Demonstration: A Memory to Store, Retrieve, Consolidate, and Forget ExperiencesCode0
A Named Entity Recognition Corpus for Vietnamese Biomedical Texts to Support Tuberculosis TreatmentCode0
Distilled One-Shot Federated LearningCode0
Encoding Matching Criteria for Cross-domain Deformable Image RegistrationCode0
Learning New Tasks from a Few Examples with Soft-Label PrototypesCode0
An EMG Gesture Recognition System with Flexible High-Density Sensors and Brain-Inspired High-Dimensional ClassifierCode0
Learning to learn with backpropagation of Hebbian plasticityCode0
Memory-enriched computation and learning in spiking neural networks through Hebbian plasticityCode0
Abstracted Gaussian Prototypes for One-Shot Concept LearningCode0
Meta-Meta Classification for One-Shot LearningCode0
Direct Data-Driven Discounted Infinite Horizon Linear Quadratic Regulator with Robustness GuaranteesCode0
Attentive Recurrent ComparatorsCode0
One Representative-Shot Learning Using a Population-Driven Template with Application to Brain Connectivity Classification and Evolution PredictionCode0
Learning from similarity and information extraction from structured documentsCode0
Few-Shot Adversarial Learning of Realistic Neural Talking Head ModelsCode0
Few-Shot Knowledge Graph CompletionCode0
Improving Siamese Networks for One Shot Learning using Kernel Based Activation functionsCode0
For Manifold Learning, Deep Neural Networks can be Locality Sensitive Hash FunctionsCode0
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
A Feature-based Generalizable Prediction Model for Both Perceptual and Abstract ReasoningCode0
Deep Triplet Ranking Networks for One-Shot RecognitionCode0
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
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Siamese Neural NetworkAccuracy97.5—Unverified