Methods › Sequential › Recurrent Neural Networks › SNAIL

Simple Neural Attention Meta-Learner

SNAIL

11 papers tagged archive 2025-07-28

Introduced by Nikhil Mishra et al. in A Simple Neural Attentive Meta-Learner

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

The Simple Neural Attention Meta-Learner, or SNAIL, combines the benefits of temporal convolutions and attention to solve meta-learning tasks. They introduce positional dependence through temporal convolutions to make the model applicable to reinforcement tasks - where the observations, actions, and rewards are intrinsically sequential. They also introduce attention in order to provide pinpoint access over an infinitely large context. SNAIL is constructing by combining the two: we use temporal convolutions to produce the context over which we use a causal attention operation.

Paper Source

Papers archive 2025-07-28

11 shown of 11, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.

Multi-scale modeling of Snail-mediated response to hypoxia in tumor progression
25 Apr 2024 · 0 repositories · arXiv:2404.16769
Modeling how and why aquatic vegetation removal can free rural households from poverty-disease traps
30 Jan 2024 · 1 repository · arXiv:2401.17384
Snail Homing and Mating Search Algorithm: A Novel Bio-Inspired Metaheuristic Algorithm
6 Oct 2023 · 0 repositories · arXiv:2310.04020
Unveiling the Invisible: Enhanced Detection and Analysis of Deteriorated Areas in Solar PV Modules Using Unsupervised Sensing Algorithms and 3D Augmented Reality
11 Jul 2023 · 0 repositories · arXiv:2307.05136
Detection and classification of faults aimed at preventive maintenance of PV systems
13 Jun 2023 · 0 repositories · arXiv:2306.08004
Detection of Malfunctioning Modules in Photovoltaic Power Plants using Unsupervised Feature Clustering Segmentation Algorithm
30 Dec 2022 · 0 repositories · arXiv:2212.14653
Industrial Style Transfer with Large-scale Geometric Warping and Content Preservation
24 Mar 2022 · 1 repository · arXiv:2203.12835
HELIX: Data-driven characterization of Brazilian land snails
10 Sep 2021 · 0 repositories · arXiv:2109.04903
Anisotropy links cell shapes to tissue flow during convergent extension
14 May 2020 · 0 repositories · arXiv:2005.07283
Sequential Skip Prediction with Few-shot in Streamed Music Contents
24 Jan 2019 · 1 repository · arXiv:1901.08203
A Simple Neural Attentive Meta-Learner
11 Jul 2017 · 4 repositories · arXiv:1707.03141

Syntology ran 0 of 3 samples · 3 unverified · 3 pointer-only (licence)

Tasks archive 2025-07-28

12 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

Task	Papers
Meta-Learning	2
Anomaly Detection	1
Few-Shot Image Classification	1
Few-Shot Learning	1
Image Segmentation	1
Metric Learning	1
Navigate	1
Reinforcement Learning	1
Semantic Segmentation	1
Sequential skip prediction	1
Style Transfer	1
feature selection	1

Usage over time archive 2025-07-28

Papers per year the archive tags with this method, by the paper's archive date (11 dated). Bars are counts, not a trend claim.

Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).

Categories archive 2025-07-28

Recurrent Neural Networks

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