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 201–250 of 305 papers

TitleStatusHype
Adaptive Noise Resilient Keyword Spotting Using One-Shot Learning—0
Meta-Reinforcement Learning with Self-Modifying Networks—0
AFAT: Adaptive Failure-Aware Tracker for Robust Visual Object Tracking—0
AHAM: Adapt, Help, Ask, Model -- Harvesting LLMs for literature mining—0
A Hippocampus Model for Online One-Shot Storage of Pattern Sequences—0
A Model of Zero-Shot Learning of Spoken Language Understanding—0
An Event based Prediction Suffix Tree—0
An Exploration of Three Lightly-supervised Representation Learning Approaches for Named Entity Classification—0
Annotation-Free and One-Shot Learning for Instance Segmentation of Homogeneous Object Clusters—0
A One-Shot Learning Framework for Assessment of Fibrillar Collagen from Second Harmonic Generation Images of an Infarcted Myocardium—0
Application of Computer Vision Techniques for Segregation of PlasticWaste based on Resin Identification Code—0
AROS: Affordance Recognition with One-Shot Human Stances—0
ARTiS: Appearance-based Action Recognition in Task Space for Real-Time Human-Robot Collaboration—0
Assessing Shape Bias Property of Convolutional Neural Networks—0
A System For Robot Concept Learning Through Situated Dialogue—0
Attention-Based Multi-Context Guiding for Few-Shot Semantic Segmentation—0
Augmented Memory Networks for Streaming-Based Active One-Shot Learning—0
Augmented Memory Networks for Streaming-Based Active One-Shot Learning—0
A Unified approach for Conventional Zero-shot, Generalized Zero-shot and Few-shot Learning—0
Automatic detection of rare pathologies in fundus photographs using few-shot learning—0
Better Together: Resnet-50 accuracy with 13 fewer parameters and at 3 speed—0
Bias Testing and Mitigation in LLM-based Code Generation—0
Brain-inspired Cognition in Next Generation Racetrack Memories—0
Can Humans Do Less-Than-One-Shot Learning?—0
Causality-Driven One-Shot Learning for Prostate Cancer Grading from MRI—0
Cognitive Psychology for Deep Neural Networks: A Shape Bias Case Study—0
Comparison of Maximum Likelihood and GAN-based training of Real NVPs—0
Compositional Embeddings for Multi-Label One-Shot Learning—0
Compositional Embeddings: Joint Perception and Comparison of Class Label Sets—0
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
Correlation Weighted Prototype-based Self-Supervised One-Shot Segmentation of Medical Images—0
Covariance of Motion and Appearance Featuresfor Spatio Temporal Recognition Tasks—0
DART: Distribution Aware Retinal Transform for Event-based Cameras—0
DeepRING: Learning Roto-translation Invariant Representation for LiDAR based Place Recognition—0
DeepWriteSYN: On-Line Handwriting Synthesis via Deep Short-Term Representations—0
Demystification of Few-shot and One-shot Learning—0
Depression Status Estimation by Deep Learning based Hybrid Multi-Modal Fusion Model—0
Discovering objects and their relations from entangled scene representations—0
Distributional Modeling on a Diet: One-shot Word Learning from Text Only—0
Dynamic Spectrum Matching with One-shot Learning—0
Integrating Diverse Knowledge Sources for Online One-shot Learning of Novel Tasks—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
Exploring the potential of prototype-based soft-labels data distillation for imbalanced data classification—0
Face Verification and Forgery Detection for Ophthalmic Surgery Images—0
Fast Adaptation in Generative Models with Generative Matching Networks—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Siamese Neural NetworkAccuracy97.5—Unverified