One-Shot Learning
92 papers with code • 1 benchmarks • 4 datasets
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 )
Benchmarks
These leaderboards are used to track progress in One-Shot Learning
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Libraries
Use these libraries to find One-Shot Learning models and implementations
MNIST
TACO
TopLogo-10
MatSim
Most implemented papers
Ludwig: a type-based declarative deep learning toolbox
uber/ludwig
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In this work we present Ludwig, a flexible, extensible and easy to use toolbox which allows users to train deep learning models and use them for obtaining predictions without writing code.
Typilus: Neural Type Hints
The network uses deep similarity learning to learn a TypeSpace -- a continuous relaxation of the discrete space of types -- and how to embed the type properties of a symbol (i. e. identifier) into it.
'Less Than One'-Shot Learning: Learning N Classes From M<N Samples
We propose the `less than one'-shot learning task where models must learn $N$ new classes given only $M<N$ examples and we show that this is achievable with the help of soft labels.
Active One-shot Learning
Recent advances in one-shot learning have produced models that can learn from a handful of labeled examples, for passive classification and regression tasks.
Learning to Remember Rare Events
We present a large-scale life-long memory module for use in deep learning.
One-Shot Imitation from Observing Humans via Domain-Adaptive Meta-Learning
tianheyu927/mil
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Humans and animals are capable of learning a new behavior by observing others perform the skill just once.
Generalization in Machine Learning via Analytical Learning Theory
Learning-and-Intelligent-Systems/DualCutout
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This paper introduces a novel measure-theoretic theory for machine learning that does not require statistical assumptions.
Deep Reinforcement One-Shot Learning for Artificially Intelligent Classification Systems
antonpuz/DeROL
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Second, we develop the first open-source software for practical artificially intelligent one-shot classification systems with limited resources for the benefit of researchers in related fields.
A Deep One-Shot Network for Query-based Logo Retrieval
AyanKumarBhunia/Deep-One-Shot-Logo-Retrieval
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Logo detection in real-world scene images is an important problem with applications in advertisement and marketing.
Multimodal One-Shot Learning of Speech and Images
rpeloff/multimodal-one-shot-learning
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Imagine a robot is shown new concepts visually together with spoken tags, e. g. "milk", "eggs", "butter".
