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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
One-Shot Learning on Attributed Sequences—0
Learning Spatially-Adaptive Squeeze-Excitation Networks for Image Synthesis and Image RecognitionCode0
Recursive Least-Squares Estimator-Aided Online Learning for Visual TrackingCode1
Differentiable Wavetable SynthesisCode1
One-Shot Learning from a Demonstration with Hierarchical Latent Language—0
Brain-inspired Cognition in Next Generation Racetrack Memories—0
EfficientWord-Net: An Open Source Hotword Detection Engine based on One-shot LearningCode1
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
Self-Supervised Generative Style Transfer for One-Shot Medical Image SegmentationCode1
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
Detecting Hate Speech with GPT-3Code1
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 Line To Rule Them All: Generating LO-Shot Soft-Label PrototypesCode1
One-shot learning for the long term: consolidation with an artificial hippocampal algorithm—0
Continuous Learning in Neural Machine Translation using Bilingual Dictionaries—0
Echo-SyncNet: Self-supervised Cardiac View Synchronization in EchocardiographyCode1
Unsupervised Noisy Tracklet Person Re-identification—0
Better Together: Resnet-50 accuracy with 13 fewer parameters and at 3 speed—0
Visual Imitation with Reinforcement Learning using Recurrent Siamese Networks—0
Robust One Shot Audio to Video Generation—0
One-Shot Learning with Triplet Loss for Vegetation Classification Tasks—0
Contour Transformer Network for One-shot Segmentation of Anatomical StructuresCode0
ScaleNAS: One-Shot Learning of Scale-Aware Representations for Visual Recognition—0
Depression Status Estimation by Deep Learning based Hybrid Multi-Modal Fusion Model—0
Application of Computer Vision Techniques for Segregation of PlasticWaste based on Resin Identification Code—0
Resource Constrained Dialog Policy Learning via Differentiable Inductive Logic Programming—0
One-Shot Federated Learning with Neuromorphic Processors—0
Unsupervised One-shot Learning of Both Specific Instances and Generalised Classes with a Hippocampal ArchitectureCode0
One-shot Learning for Temporal Knowledge Graphs—0
Learning from similarity and information extraction from structured documentsCode0
Contour Primitive of Interest Extraction Network Based on One-Shot Learning for Object-Agnostic Vision Measurement—0
One-Shot learning based classification for segregation of plastic waste—0
Distilled One-Shot Federated LearningCode0
'Less Than One'-Shot Learning: Learning N Classes From M<N SamplesCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Siamese Neural NetworkAccuracy97.5—Unverified