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Data Models for Dataset Drift Controls in Machine Learning With Optical
  Images

Data Models for Dataset Drift Controls in Machine Learning With Optical Images

4 November 2022
Luis Oala
Marco Aversa
Gabriel Nobis
Kurt Willis
Yoan Neuenschwander
Michele Buck
Christian Matek
J. Extermann
E. Pomarico
Wojciech Samek
Roderick Murray-Smith
Christoph Clausen
B. Sanguinetti
ArXivPDFHTML

Papers citing "Data Models for Dataset Drift Controls in Machine Learning With Optical Images"

12 / 12 papers shown
Title
DMLR: Data-centric Machine Learning Research -- Past, Present and Future
DMLR: Data-centric Machine Learning Research -- Past, Present and Future
Luis Oala
M. Maskey
Lilith Bat-Leah
Alicia Parrish
Nezihe Merve Gürel
...
Lora Aroyo
Ce Zhang
Joaquin Vanschoren
Isabelle Guyon
Peter Mattson
AI4CE
31
11
0
21 Nov 2023
Localized Data Work as a Precondition for Data-Centric ML: A Case Study
  of Full Lifecycle Crop Disease Identification in Ghana
Localized Data Work as a Precondition for Data-Centric ML: A Case Study of Full Lifecycle Crop Disease Identification in Ghana
D. Akogo
I. Samori
Cyril Akafia
Harriet Fiagbor
and Kangah
Donald Kwame Asiedu
Kwabena Fuachie
Luis Oala
14
4
0
04 Jul 2023
DiffInfinite: Large Mask-Image Synthesis via Parallel Random Patch
  Diffusion in Histopathology
DiffInfinite: Large Mask-Image Synthesis via Parallel Random Patch Diffusion in Histopathology
Marco Aversa
Gabriel Nobis
Miriam Hagele
Kai Standvoss
Mihaela Chirica
...
D. Ivanova
Wojciech Samek
Frederick Klauschen
B. Sanguinetti
Luis Oala
MedIm
20
18
0
23 Jun 2023
VOS: Learning What You Don't Know by Virtual Outlier Synthesis
VOS: Learning What You Don't Know by Virtual Outlier Synthesis
Xuefeng Du
Zhaoning Wang
Mu Cai
Yixuan Li
OODD
178
220
0
02 Feb 2022
Deep physical neural networks enabled by a backpropagation algorithm for
  arbitrary physical systems
Deep physical neural networks enabled by a backpropagation algorithm for arbitrary physical systems
Logan G. Wright
Tatsuhiro Onodera
Martin M. Stein
Tianyu Wang
Darren T. Schachter
Zoey Hu
Peter L. McMahon
PINN
AI4CE
35
468
0
27 Apr 2021
Aerial Imagery Pile burn detection using Deep Learning: the FLAME
  dataset
Aerial Imagery Pile burn detection using Deep Learning: the FLAME dataset
Alireza Shamsoshoara
Fatemeh Afghah
Abolfazl Razi
Liming Zheng
Peter Z Fulé
Erik P. Blasch
33
232
0
28 Dec 2020
RobustBench: a standardized adversarial robustness benchmark
RobustBench: a standardized adversarial robustness benchmark
Francesco Croce
Maksym Andriushchenko
Vikash Sehwag
Edoardo Debenedetti
Nicolas Flammarion
M. Chiang
Prateek Mittal
Matthias Hein
VLM
219
676
0
19 Oct 2020
On the Impact of Lossy Image and Video Compression on the Performance of
  Deep Convolutional Neural Network Architectures
On the Impact of Lossy Image and Video Compression on the Performance of Deep Convolutional Neural Network Architectures
Matt Poyser
Amir Atapour-Abarghouei
T. Breckon
38
38
0
28 Jul 2020
Learning to See in the Dark
Learning to See in the Dark
Cheng Chen
Qifeng Chen
Jia Xu
V. Koltun
181
1,165
0
04 May 2018
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
270
5,660
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
279
9,136
0
06 Jun 2015
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
296
39,194
0
01 Sep 2014
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