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

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Showing 101–150 of 305 papers

TitleStatusHype
A few-shot learning approach with domain adaptation for personalized real-life stress detection in close relationshipsCode0
AROS: Affordance Recognition with One-Shot Human Stances—0
DeepRING: Learning Roto-translation Invariant Representation for LiDAR based Place Recognition—0
MergedNET: A simple approach for one-shot learning in siamese networks based on similarity layersCode0
One-shot Detail Retouching with Patch Space Neural Transformation BlendingCode0
One-Shot Learning of Stochastic Differential Equations with Data Adapted Kernels—0
Adaptive Local-Component-aware Graph Convolutional Network for One-shot Skeleton-based Action Recognition—0
Predicting Brain Multigraph Population From a Single Graph Template for Boosting One-Shot ClassificationCode0
A System For Robot Concept Learning Through Situated Dialogue—0
Towards Robust Drone Vision in the Wild—0
Integrating Diverse Knowledge Sources for Online One-shot Learning of Novel Tasks—0
FIGO: Enhanced Fingerprint Identification Approach Using GAN and One Shot Learning Techniques—0
Rapid Learning of Spatial Representations for Goal-Directed Navigation Based on a Novel Model of Hippocampal Place Fields—0
One-shot Learning for Autonomous Aerial Manipulation—0
A Named Entity Recognition Corpus for Vietnamese Biomedical Texts to Support Tuberculosis TreatmentCode0
Memory-enriched computation and learning in spiking neural networks through Hebbian plasticityCode0
Sleep Posture One-Shot Learning Framework Using Kinematic Data Augmentation: In-Silico and In-Vivo Case Studies—0
It's DONE: Direct ONE-shot learning with quantile weight imprintingCode0
Reinforcing Generated Images via Meta-learning for One-Shot Fine-Grained Visual Recognition—0
Experimentally realized memristive memory augmented neural network—0
One-Shot Learning from a Demonstration with Hierarchical Latent Language—0
InsertionNet 2.0: Minimal Contact Multi-Step Insertion Using Multimodal Multiview Sensory Input—0
Can Humans Do Less-Than-One-Shot Learning?—0
JARVix at SemEval-2022 Task 2: It Takes One to Know One? Idiomaticity Detection using Zero and One-Shot LearningCode0
Meta-Reinforcement Learning with Self-Modifying Networks—0
One-Shot Learning on Attributed Sequences—0
Learning Spatially-Adaptive Squeeze-Excitation Networks for Image Synthesis and Image RecognitionCode0
One-Shot Learning from a Demonstration with Hierarchical Latent Language—0
Brain-inspired Cognition in Next Generation Racetrack Memories—0
Simultaneous Perturbation Method for Multi-Task Weight Optimization in One-Shot Meta-LearningCode0
One Representative-Shot Learning Using a Population-Driven Template with Application to Brain Connectivity Classification and Evolution PredictionCode0
On Learning to Solve Cardinality Constrained Combinatorial Optimization in One-Shot: A Re-parameterization Approach via Gumbel-Sinkhorn-TopK—0
OSSR-PID: One-Shot Symbol Recognition in P&ID Sheets using Path Sampling and GCN—0
AutoTinyBERT: Automatic Hyper-parameter Optimization for Efficient Pre-trained Language ModelsCode0
High-dimensional separability for one- and few-shot learning—0
Adaptive Image Transformer for One-Shot Object Detection—0
One-shot learning of paired association navigation with biologically plausible schemasCode0
One-shot Learning with Absolute GeneralizationCode0
HDXplore: Automated Blackbox Testing of Brain-Inspired Hyperdimensional Computing—0
One-shot learning for acoustic identification of bird species in non-stationary environments—0
Updatable Siamese Tracker with Two-stage One-shot Learning—0
Watershed of Artificial Intelligence: Human Intelligence, Machine Intelligence, and Biological Intelligence—0
Demystification of Few-shot and One-shot Learning—0
Unsupervised Hyperspectral Stimulated Raman Microscopy Image Enhancement: Denoising and Segmentation via One-Shot Deep LearningCode0
One-shot learning for solution operators of partial differential equations—0
HDTest: Differential Fuzz Testing of Brain-Inspired Hyperdimensional Computing—0
For Manifold Learning, Deep Neural Networks can be Locality Sensitive Hash FunctionsCode0
Harnessing Geometric Constraints from Emotion Labels to improve Face Verification—0
One-shot learning for the long term: consolidation with an artificial hippocampal algorithm—0
Continuous Learning in Neural Machine Translation using Bilingual Dictionaries—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Siamese Neural NetworkAccuracy97.5—Unverified