One-Shot Learning

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

4 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 107 papers with code (305 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
  9 Mar 2017 85 repositories listed Syntology ran 86 of 154 samples · 68 unverified · 57 pointer-only (licence)
  We propose an algorithm for meta-learning that is model-agnostic, in the sense that it is compatible with any model trained with gradient descent and applicable to a variety of different learning problems, including…
• Prototypical Networks for Few-shot Learning
  15 Mar 2017 43 repositories listed Syntology ran 49 of 64 samples · 15 unverified · 18 pointer-only (licence)
  We propose prototypical networks for the problem of few-shot classification, where a classifier must generalize to new classes not seen in the training set, given only a small number of examples of each new class.
• Matching Networks for One Shot Learning
  13 Jun 2016 26 repositories listed Syntology ran 6 of 16 samples · 10 unverified · 6 pointer-only (licence)
  Our algorithm improves one-shot accuracy on ImageNet from 87.
• One-shot Learning with Memory-Augmented Neural Networks
  19 May 2016 11 repositories listed Syntology ran 1 of 8 samples · 7 unverified · 1 pointer-only (licence)
  Despite recent breakthroughs in the applications of deep neural networks, one setting that presents a persistent challenge is that of "one-shot learning."
• Siamese neural networks for one-shot image recognition
  10 Jul 2015 10 repositories listed
  The process of learning good features for machine learning applications can be very computationally expensive and may prove difficult in cases where little data is available.
• One-Shot Learning for Semantic Segmentation
  11 Sep 2017 8 repositories listed
  Low-shot learning methods for image classification support learning from sparse data.
• The Omniglot challenge: a 3-year progress report
  9 Feb 2019 7 repositories listed Syntology ran 3 of 3 samples · 0 unverified · 2 pointer-only (licence)
  Three years ago, we released the Omniglot dataset for one-shot learning, along with five challenge tasks and a computational model that addresses these tasks.
• Few-Shot Adversarial Learning of Realistic Neural Talking Head Models
  20 May 2019 6 repositories listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  In order to create a personalized talking head model, these works require training on a large dataset of images of a single person.
• Dynamic Few-Shot Visual Learning without Forgetting
  25 Apr 2018 4 repositories listed Syntology ran 2 of 13 samples · 11 unverified
  In this context, the goal of our work is to devise a few-shot visual learning system that during test time it will be able to efficiently learn novel categories from only a few training data while at the same time it…
• Typilus: Neural Type Hints
  6 Apr 2020 3 repositories listed Syntology ran 0 of 3 samples · 3 unverified
  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.
• Ludwig: a type-based declarative deep learning toolbox
  17 Sep 2019 3 repositories listed
  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.
• One-Shot Instance Segmentation
  28 Nov 2018 3 repositories listed Syntology ran 0 of 6 samples · 6 unverified
  We demonstrate empirical results on MS Coco highlighting challenges of the one-shot setting: while transferring knowledge about instance segmentation to novel object categories works very well, targeting the detection…
• An In-Depth Evaluation of Federated Learning on Biomedical Natural Language Processing
  20 Jul 2023 2 repositories listed
  Language models (LMs) such as BERT and GPT have revolutionized natural language processing (NLP).
• Self-Supervised One-Shot Learning for Automatic Segmentation of StyleGAN Images
  10 Mar 2023 2 repositories listed
  We propose a framework for the automatic one-shot segmentation of synthetic images generated by a StyleGAN.
• Recursive Least-Squares Estimator-Aided Online Learning for Visual Tracking
  28 Dec 2021 2 repositories listed
  In this paper, we propose a simple yet effective recursive least-squares estimator-aided online learning approach for few-shot online adaptation without requiring offline training.
• One-shot learning of paired association navigation with biologically plausible schemas
  7 Jun 2021 2 repositories listed
  Rodent one-shot learning in a multiple paired association navigation task has been postulated to be schema-dependent.
• Detecting Hate Speech with GPT-3
  23 Mar 2021 2 repositories listed
  Given this capacity, we are interested in whether large language models can be used to identify hate speech and classify text as sexist or racist.
• Grounded Language Learning Fast and Slow
  3 Sep 2020 2 repositories listed
  Recent work has shown that large text-based neural language models, trained with conventional supervised learning objectives, acquire a surprising propensity for few- and one-shot learning.
• Multimodal One-Shot Learning of Speech and Images
  9 Nov 2018 2 repositories listed
  Imagine a robot is shown new concepts visually together with spoken tags, e.
• A Deep One-Shot Network for Query-based Logo Retrieval
  4 Nov 2018 2 repositories listed
  Logo detection in real-world scene images is an important problem with applications in advertisement and marketing.
• Deep Reinforcement One-Shot Learning for Artificially Intelligent Classification Systems
  4 Aug 2018 2 repositories listed
  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.
• Generalization in Machine Learning via Analytical Learning Theory
  21 Feb 2018 2 repositories listed
  This paper introduces a novel measure-theoretic theory for machine learning that does not require statistical assumptions.
• One-Shot Imitation from Observing Humans via Domain-Adaptive Meta-Learning
  5 Feb 2018 2 repositories listed
  Humans and animals are capable of learning a new behavior by observing others perform the skill just once.
• Learning to Remember Rare Events
  9 Mar 2017 2 repositories listed
  We present a large-scale life-long memory module for use in deep learning.
• Active One-shot Learning
  21 Feb 2017 2 repositories listed Syntology ran 1 of 1 samples · 0 unverified
  Recent advances in one-shot learning have produced models that can learn from a handful of labeled examples, for passive classification and regression tasks.
• PsyDT: Using LLMs to Construct the Digital Twin of Psychological Counselor with Personalized Counseling Style for Psychological Counseling
  18 Dec 2024 1 repository listed
  Experimental results indicate that our proposed PsyDT framework can synthesize multi-turn dialogues that closely resemble real-world counseling cases and demonstrate better performance compared to other baselines,…
• Fusion Matters: Learning Fusion in Deep Click-through Rate Prediction Models
  24 Nov 2024 1 repository listed
  To bridge this gap, we introduce OptFusion, a method that automates the learning of fusion, encompassing both the connection learning and the operation selection.
• Supervised Learning without Backpropagation using Spike-Timing-Dependent Plasticity for Image Recognition
  21 Oct 2024 1 repository listed
  This study introduces a novel supervised learning approach for spiking neural networks that does not rely on traditional backpropagation.
• SeqNet: Sequential Networks for One-Shot Traffic Sign Recognition With Transfer Learning
  23 Sep 2024 1 repository listed
  One-shot object recognition is a challenging task for deep neural networks in which a deep model classifies query examples based on support images.
• Direct Data-Driven Discounted Infinite Horizon Linear Quadratic Regulator with Robustness Guarantees
  16 Sep 2024 1 repository listed
  The effect of the closed-loop system noise on the Bellman inequality is considered to ensure both robust stability and suboptimal performance despite ignoring the measurement noise.

Syntology lines on 10 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.