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 51–75 of 305 papers

TitleStatusHype
Concept Learning through Deep Reinforcement Learning with Memory-Augmented Neural Networks—0
Continual One-Shot Learning of Hidden Spike-Patterns with Neural Network Simulation Expansion and STDP Convergence Predictions—0
Continuous Learning in Neural Machine Translation using Bilingual Dictionaries—0
Contour Primitive of Interest Extraction Network Based on One-Shot Learning for Object-Agnostic Vision Measurement—0
AROS: Affordance Recognition with One-Shot Human Stances—0
Fast Adaptation in Generative Models with Generative Matching Networks—0
Correlation Weighted Prototype-based Self-Supervised One-Shot Segmentation of Medical Images—0
Covariance of Motion and Appearance Featuresfor Spatio Temporal Recognition Tasks—0
Federated One-Shot Learning with Data Privacy and Objective-Hiding—0
Generative Adversarial Residual Pairwise Networks for One Shot Learning—0
Causality-Driven One-Shot Learning for Prostate Cancer Grading from MRI—0
DeepRING: Learning Roto-translation Invariant Representation for LiDAR based Place Recognition—0
Can Humans Do Less-Than-One-Shot Learning?—0
Annotation-Free and One-Shot Learning for Instance Segmentation of Homogeneous Object Clusters—0
Brain-inspired Cognition in Next Generation Racetrack Memories—0
Bias Testing and Mitigation in LLM-based Code Generation—0
An Exploration of Three Lightly-supervised Representation Learning Approaches for Named Entity Classification—0
AFAT: Adaptive Failure-Aware Tracker for Robust Visual Object Tracking—0
Better Together: Resnet-50 accuracy with 13 fewer parameters and at 3 speed—0
An Event based Prediction Suffix Tree—0
Meta-Reinforcement Learning with Self-Modifying Networks—0
Experimentally realized memristive memory augmented neural network—0
Exploiting Temporal Coherence for Self-Supervised One-shot Video Re-identification—0
Exploit the Unknown Gradually: One-Shot Video-Based Person Re-Identification by Stepwise Learning—0
AutoTinyBERT: Automatic Hyper-parameter Optimization for Efficient Pre-trained Language Models—0
Show:102550
← PrevPage 3 of 13Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Siamese Neural NetworkAccuracy97.5—Unverified