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Non-Determinism in TensorFlow ResNets

Non-Determinism in TensorFlow ResNets

30 January 2020
Miguel Morin
M. Willetts
ArXiv (abs)PDFHTML

Papers citing "Non-Determinism in TensorFlow ResNets"

9 / 9 papers shown
FEEL: A Framework for Evaluating Emotional Support Capability with Large
  Language Models
FEEL: A Framework for Evaluating Emotional Support Capability with Large Language ModelsInternational Conference on Intelligent Computing (ICIC), 2024
Huaiwen Zhang
Yu Chen
Ming Wang
Shi Feng
316
5
0
23 Mar 2024
DORIS-MAE: Scientific Document Retrieval using Multi-level Aspect-based
  Queries
DORIS-MAE: Scientific Document Retrieval using Multi-level Aspect-based QueriesNeural Information Processing Systems (NeurIPS), 2023
Jianyou Wang
Kaicheng Wang
Xiaoyue Wang
Prudhviraj Naidu
Leon Bergen
R. Paturi
543
16
0
07 Oct 2023
Generative Models as a Complex Systems Science: How can we make sense of
  large language model behavior?
Generative Models as a Complex Systems Science: How can we make sense of large language model behavior?Journal of Social Computing (JSC), 2023
Ari Holtzman
Peter West
Luke Zettlemoyer
AI4CE
295
20
0
31 Jul 2023
Reproducibility of Machine Learning: Terminology, Recommendations and
  Open Issues
Reproducibility of Machine Learning: Terminology, Recommendations and Open Issues
Riccardo Albertoni
Sara Colantonio
Piotr Skrzypczyñski
J. Stefanowski
198
13
0
24 Feb 2023
Incorporating Crowdsourced Annotator Distributions into Ensemble
  Modeling to Improve Classification Trustworthiness for Ancient Greek Papyri
Incorporating Crowdsourced Annotator Distributions into Ensemble Modeling to Improve Classification Trustworthiness for Ancient Greek PapyriJournal of Data Mining and Digital Humanities (JDMDH), 2022
Graham West
Matthew I. Swindall
Ben Keener
T. Player
Alex C. Williams
James H. Brusuelas
John F. Wallin
108
0
0
28 Oct 2022
Engineering the Neural Automatic Passenger Counter
Engineering the Neural Automatic Passenger CounterEngineering applications of artificial intelligence (EAAI), 2022
Nico Jahn
Michael Siebert
242
5
0
02 Mar 2022
Evaluating Generic Auto-ML Tools for Computational Pathology
Evaluating Generic Auto-ML Tools for Computational Pathology
L. O. Schwen
D. Schacherer
C. Geißler
A. Homeyer
200
16
0
07 Dec 2021
Impact of GPU uncertainty on the training of predictive deep neural networks
Maciej Pietrowski
A. Gajda
Takuto Yamamoto
Taisuke Kobayashi
Lana Sinapayen
Eiji Watanabe
BDL
154
0
0
03 Sep 2021
On the Reproducibility of Neural Network Predictions
On the Reproducibility of Neural Network Predictions
Srinadh Bhojanapalli
Kimberly Wilber
Andreas Veit
A. S. Rawat
Seungyeon Kim
A. Menon
Sanjiv Kumar
340
42
0
05 Feb 2021
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