Methods › Computer Vision › Backbone Architectures › Deep Sets

Deep Sets

35 papers tagged archive 2025-07-28

Introduced by Manzil Zaheer et al. in Deep Sets

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

The archive carries no description for this method.

PaperSource

Papers archive 2025-07-28

30 shown of 35, 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.

Tasks archive 2025-07-28

20 shown of 47 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

TaskPapers
Reinforcement Learning (RL)5
Deep Reinforcement Learning4
Reinforcement Learning4
reinforcement-learning4
Decision Making3
Autonomous Driving2
Point Cloud Classification2
Robot Manipulation2
Translation2
3D Shape Recognition1
Anomaly Detection1
Attribute1
Benchmarking1
Deblurring1
Decoder1
Density Estimation1
Generative Adversarial Network1
Graph Neural Network1
Imitation Learning1
Inductive Bias1

Usage over time archive 2025-07-28

Papers per year tagged with Deep Sets: 2017 to 2025, peak 6 6 0 2017: 1 paper 2017 2018: 2 papers 2018 2019: 2 papers 2019 2020: 6 papers 2020 2021: 4 papers 2021 2022: 5 papers 2022 2023: 5 papers 2023 2024: 6 papers 2024 2025: 4 papers 2025
Papers per year the archive tags with this method, by the paper's archive date (35 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

Backbone Architectures

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