Who Cited It

Domain randomization for transferring deep neural networks from simulation to the real world

2017 · 2,890 citations · 2 from inside this corpus

Josh Tobin low, Rachel Fong low, Alex Ray low, Jonas Schneider low, Wojciech Zaremba, Pieter Abbeel

The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.

Domain randomization for transferring deep neural networks from simulation to the real wo… (2017)Domain randomization for tran…Adam: A Method for Stochastic Optimization (2014)Adam: A Method for Stochastic…[No title in the source record — DROPS (Schloss Dagstuhl – Leibniz Center for Informatics… (2015)[No title in the source recor…Trust Region Policy Optimization (2015)Trust Region Policy Optimizat…Deep Domain Confusion: Maximizing for Domain Invariance (2014)Deep Domain Confusion: Maximi…End-to-end training of deep visuomotor policies (2016)End-to-end training of deep v…Language Models are Few-Shot Learners (2020)Language Models are Few-Shot …Shortcut learning in deep neural networks (2020)Shortcut learning in deep neu…
7 of 7 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.
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What this paper cites, inside the corpus

PaperYearCited
Adam: A Method for Stochastic Optimization201484,698
[No title in the source record — DROPS (Schloss Dagstuhl – Leibniz Center for Informatics…201550,396
Trust Region Policy Optimization20153,129
Deep Domain Confusion: Maximizing for Domain Invariance20142,354
End-to-end training of deep visuomotor policies20161,706

What cites it, inside the corpus

PaperYearCited
Language Models are Few-Shot Learners20203,020
Shortcut learning in deep neural networks20202,040

Links

DOI · OpenAlex record

Topics

Domain Adaptation and Few-Shot LearningComputer Science
Advanced Neural Network ApplicationsComputer Science
Robotics and Sensor-Based LocalizationEngineering

Is this record sound?

complete

Nothing in this record contradicts itself and no field we check is missing.

  • supports6 author record(s) attached.
  • supports69 reference(s) recorded.
  • supportsThe DOI's year agrees with the publication year.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:48+00:00.

sha256 46f669157f96ea35…