Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T13:54:34.916184Z
Paper Citation Record · LEDGER
As of 15 August 2026, this Paper Citation Record lists 76 of 76 outbound references and 0 inbound Pith citation observations for arXiv:1908.04207.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T13:54:34.916184Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
76 of 76 outbound references displayed
External citation measurements
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Taming Unbalanced Training Workloads in Deep Learning with Partial Collective Operations Ben-Nun, M
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Taming Unbalanced Training Workloads in Deep Learning with Partial Collective Operations GossipGraD: Scalable Deep Learning using Gossip Communication based Asynchronous Gradient Descent
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Taming Unbalanced Training Workloads in Deep Learning with Partial Collective Operations Improved Regularization of Convolutional Neural Networks with Cutout
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Observation c97cfb5c-7b0f-4783-a589-70bffb1e8f54 · outbound
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Observation 205e657e-c11e-4465-b52d-333d3f1a9e53 · outbound
Taming Unbalanced Training Workloads in Deep Learning with Partial Collective Operations BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Reference 19
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Observation d910b9b4-bd6a-463d-9fbd-1f7f1b8aad5e · outbound
Taming Unbalanced Training Workloads in Deep Learning with Partial Collective Operations Model Accuracy and Runtime Tradeoff in Distributed Deep Learning:A Systematic Study
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Observation 374b8110-172f-402b-925b-e1808be9d22b · outbound
Taming Unbalanced Training Workloads in Deep Learning with Partial Collective Operations Unresolved cited work
Reference 21
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Observation 28e27786-0dc4-4e26-b533-92233267a6f4 · outbound
Taming Unbalanced Training Workloads in Deep Learning with Partial Collective Operations Gibbons, Garth A
Reference 22
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Taming Unbalanced Training Workloads in Deep Learning with Partial Collective Operations Unresolved cited work
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Observation f3fdfdd3-9b3b-4f15-8ab0-0b588c253e80 · outbound
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Taming Unbalanced Training Workloads in Deep Learning with Partial Collective Operations Unresolved cited work
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Taming Unbalanced Training Workloads in Deep Learning with Partial Collective Operations Hoefler and D
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Taming Unbalanced Training Workloads in Deep Learning with Partial Collective Operations Hoefler, T
Reference 27
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Observation 7e24dea2-5cdb-47e4-bf7c-37c9b48c84c3 · outbound
Taming Unbalanced Training Workloads in Deep Learning with Partial Collective Operations Hoefler, T
Reference 28
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Taming Unbalanced Training Workloads in Deep Learning with Partial Collective Operations Unresolved cited work
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Observation 9ebc1ef6-3c8d-4cc3-994d-1689f3d84158 · outbound
Taming Unbalanced Training Workloads in Deep Learning with Partial Collective Operations Huang, Z
Reference 30
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Observation 1caa638d-23a6-46fb-8981-1706b32e49b2 · outbound
Taming Unbalanced Training Workloads in Deep Learning with Partial Collective Operations Unresolved cited work
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Taming Unbalanced Training Workloads in Deep Learning with Partial Collective Operations Unresolved cited work
Reference 32
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Taming Unbalanced Training Workloads in Deep Learning with Partial Collective Operations Unresolved cited work
Reference 33
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Observation e41cc853-3bda-4958-bd3a-7bb731be33ff · outbound
Taming Unbalanced Training Workloads in Deep Learning with Partial Collective Operations Ganger, Phillip B
Reference 34
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Observation bd9c6f6d-92d3-4100-8460-43aabc356e89 · outbound
Taming Unbalanced Training Workloads in Deep Learning with Partial Collective Operations Unresolved cited work
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Observation 504ffaf9-f40b-4597-aab7-c099c4c5ae9d · outbound
Taming Unbalanced Training Workloads in Deep Learning with Partial Collective Operations LeCun, Y
Reference 36
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Observation e1a21e9c-7252-4335-8c4b-9d36b5da772e · outbound
Taming Unbalanced Training Workloads in Deep Learning with Partial Collective Operations Unresolved cited work
Reference 37
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Observation 5812f867-1d1a-4ffa-a2de-ed81e26231ff · outbound
Taming Unbalanced Training Workloads in Deep Learning with Partial Collective Operations Andersen, Jun Woo Park, Alexander J
Reference 38
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Observation 0ae32da0-7e30-40ee-82b3-13cea8b66514 · outbound
Taming Unbalanced Training Workloads in Deep Learning with Partial Collective Operations How to scale distributed deep learning?
Reference 39
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Observation c8439ce7-1b8b-4ac1-b220-7f7d568a7504 · outbound
Taming Unbalanced Training Workloads in Deep Learning with Partial Collective Operations Unresolved cited work
Reference 40
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Taming Unbalanced Training Workloads in Deep Learning with Partial Collective Operations Pennycook, Kristyn Maschhoff, Jason Sewall, Nalini Kumar, Shirley Ho, Michael F
Reference 41
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Reference 42
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Reference 43
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Observation d7a32e3a-f78e-4ab4-af82-b994cada1925 · outbound
Taming Unbalanced Training Workloads in Deep Learning with Partial Collective Operations Very Deep Convolutional Networks for Large-Scale Image Recognition
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Observation eb9fd678-f471-4be6-9313-c6973dd05c11 · outbound
Taming Unbalanced Training Workloads in Deep Learning with Partial Collective Operations UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild
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Taming Unbalanced Training Workloads in Deep Learning with Partial Collective Operations > cd $WORK/eager-SGD-artifact/eager-SGD > pip install -r requirements.txt
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Observation ba72363c-4ca1-479e-b062-53f7debf3941 · outbound
Taming Unbalanced Training Workloads in Deep Learning with Partial Collective Operations > cd $WORK/eager-SGD-artifact/eager-SGD/fflib2/lib > cmake
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Reference 71
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Taming Unbalanced Training Workloads in Deep Learning with Partial Collective Operations <" means
Reference 76
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Reference 2009
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Observation 17f3ce56-c852-4ffc-96d4-734efbf9e090 · outbound
Taming Unbalanced Training Workloads in Deep Learning with Partial Collective Operations Long-term Recurrent Convolutional Networks for Visual Recognition and Description
Reference 2014
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Observation 651b2244-d216-4c23-99f9-5b76c1ede3d4 · outbound
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Reference 2018
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Observation ff9f93ce-0417-4900-a6bd-28d088f9ae2b · outbound
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Reference 2019
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Unavailable: canonical work link unavailable.
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