Known Unknowns

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Most implemented papers archive 2025-07-28

9 shown of 9 papers with code (15 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.

• PaLM: Scaling Language Modeling with Pathways
  5 Apr 2022 7 repositories listed Syntology ran 30 of 37 samples · 7 unverified
  To further our understanding of the impact of scale on few-shot learning, we trained a 540-billion parameter, densely activated, Transformer language model, which we call Pathways Language Model PaLM.
• Scaling Language Models: Methods, Analysis & Insights from Training Gopher
  8 Dec 2021 3 repositories listed
  Language modelling provides a step towards intelligent communication systems by harnessing large repositories of written human knowledge to better predict and understand the world.
• Generative ODE Modeling with Known Unknowns
  24 Mar 2020 3 repositories listed Syntology ran 4 of 4 samples · 0 unverified
  A motivating example is intensive care unit patients: the dynamics of vital physiological functions, such as the cardiovascular system with its associated variables (heart rate, cardiac contractility and output and…
• Training Compute-Optimal Large Language Models
  29 Mar 2022 2 repositories listed Syntology ran 8 of 11 samples · 3 unverified · 4 pointer-only (licence)
  We investigate the optimal model size and number of tokens for training a transformer language model under a given compute budget.
• Known Unknowns: Out-of-Distribution Property Prediction in Materials and Molecules
  9 Feb 2025 1 repository listed
  Discovery of high-performance materials and molecules requires identifying extremes with property values that fall outside the known distribution.
• High-dimensional forecasting with known knowns and known unknowns
  26 Jan 2024 1 repository listed
  Forecasts play a central role in decision making under uncertainty.
• Knowledge of Knowledge: Exploring Known-Unknowns Uncertainty with Large Language Models
  23 May 2023 1 repository listed Syntology ran 1 of 7 samples · 6 unverified
  This paper investigates the capabilities of Large Language Models (LLMs) in the context of understanding their knowledge and uncertainty over questions.
• The division of labor in communication: Speakers help listeners account for asymmetries in visual perspective
  24 Jul 2018 1 repository listed
  In Experiment 1, we manipulated the presence or absence of occlusions in a director-matcher task and found that speakers spontaneously produced more informative descriptions to account for "known unknowns" in their…
• Known Unknowns: Uncertainty Quality in Bayesian Neural Networks
  5 Dec 2016 1 repository listed
  We compare the following candidate neural network models: Maximum Likelihood, Bayesian Dropout, OSBA, and --- for MNIST --- the standard variational approximation.

Syntology lines on 4 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.