Methods › Computer Vision › Image Quality Models › DKL

Deep Kernel Learning

DKL

20 papers tagged archive 2025-07-28

Introduced by Andrew Gordon Wilson et al. in Stochastic Variational Deep Kernel Learning

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

The archive carries no description for this method.

Papers archive 2025-07-28

20 shown of 20, 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.

• Integrating Predictive and Generative Capabilities by Latent Space Design via the DKL-VAE Model
  4 Mar 2025 · 1 repository · arXiv:2503.02978
• From Deep Additive Kernel Learning to Last-Layer Bayesian Neural Networks via Induced Prior Approximation
  14 Feb 2025 · 1 repository · arXiv:2502.10540
• Solving the Catastrophic Forgetting Problem in Generalized Category Discovery
  9 Jan 2025 · 1 repository · arXiv:2501.05272
  Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
• DKL-KAN: Scalable Deep Kernel Learning using Kolmogorov-Arnold Networks
  30 Jul 2024 · 0 repositories · arXiv:2407.21176
• Active Deep Kernel Learning of Molecular Functionalities: Realizing Dynamic Structural Embeddings
  2 Mar 2024 · 0 repositories · arXiv:2403.01234
• Unraveling the Impact of Initial Choices and In-Loop Interventions on Learning Dynamics in Autonomous Scanning Probe Microscopy
  30 Jan 2024 · 1 repository · arXiv:2402.00071
• Are you sure it’s an artifact? Artifact detection and uncertainty quantification in histological images
  23 Dec 2023 · 1 repository
• RTDK-BO: High Dimensional Bayesian Optimization with Reinforced Transformer Deep kernels
  5 Oct 2023 · 0 repositories · arXiv:2310.03912
• Promises of Deep Kernel Learning for Control Synthesis
  12 Sep 2023 · 0 repositories · arXiv:2309.06569
• Decoupled Kullback-Leibler Divergence Loss
  23 May 2023 · 4 repositories · arXiv:2305.13948
  Syntology ran 7 of 11 samples · 4 unverified · 4 pointer-only (licence)
• Deep Kernel Methods Learn Better: From Cards to Process Optimization
  25 Mar 2023 · 0 repositories · arXiv:2303.14554
• Guided Deep Kernel Learning
  19 Feb 2023 · 1 repository · arXiv:2302.09574
• Deep Kernel Learning for Mortality Prediction in the Face of Temporal Shift
  1 Dec 2022 · 1 repository · arXiv:2212.00557
• Deep banach space kernels
  29 Sep 2021 · 0 repositories
• The Promises and Pitfalls of Deep Kernel Learning
  24 Feb 2021 · 0 repositories · arXiv:2102.12108
• On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty
  22 Feb 2021 · 3 repositories · arXiv:2102.11409
  Syntology ran 2 of 2 samples · 0 unverified · 1 pointer-only (licence)
• GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning
  15 Feb 2021 · 1 repository · arXiv:2102.07868
• Deep Ensemble Kernel Learning
  1 Jan 2021 · 0 repositories
• Mixed Variational Inference
  15 Jan 2019 · 1 repository · arXiv:1901.04791
• Stochastic Variational Deep Kernel Learning
  1 Nov 2016 · 0 repositories · arXiv:1611.00336

Tasks archive 2025-07-28

20 shown of 27 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

Usage over time archive 2025-07-28

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

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