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Deep neural networks have achieved impressive performance on many computer vision benchmarks in recent years.
“There Is Limited Correlation between Coverage and Robustness for Deep Neural Networks”
Yizhen Dong et al · 1911
Earlier work this paper cites.
“On the Two Different Aspects of the Representative Method: The Method of Stratified Sampling and the Method of Purposive Selection”
Jerzy Neyman · 1934
Earlier work this paper cites.
“An Experimental Study of Quota Sampling”
C.. Moser and A. Stuart · 1953
Earlier work this paper cites.
“Post Stratification”
D. Holt and T… Smith · 1979
Earlier work this paper cites.
“Bias in Analytic Research”
David. Sackett · 1979
Earlier work this paper cites.
“Software Reliability Models: Assumptions, Limitations, and Applicability”
A.L. Goel · 1985
Earlier work this paper cites.
“Statistical Power Analysis for the Behavioral Sciences”
Jacob Cohen · 1988
Earlier work this paper cites.
“Is Probability Sampling Always Better? A Comparison of Results from a Quota and a Probability Sample Survey”
Robert Cumming · 1990
Earlier work this paper cites.
“Determining Sample Size”
Glenn. Israel · 1992
Earlier work this paper cites.
“Probability and Measure”
Patrick Billingsley · 1995
Earlier work this paper cites.
“General Function and Installation Requirements for Equipment, Systems, and Installations on Transport Category Airplanes”, 1996
Federal Aviation Administration · 1996
Earlier work this paper cites.
“Weighting for Non-Response”
Peter Lynn · 1996
Earlier work this paper cites.
“Columbia Object Image Library (COIL100)”
S. Nayar · 1996
Earlier work this paper cites.
“Inference for Non-random Samples”
J.. Copas and H.. Li · 1997
Earlier work this paper cites.
“Software Unit Test Coverage and Adequacy”
Hong Zhu, Patrick.. Hall and John.. May · 1997
Earlier work this paper cites.
“Statistical Inference by Confidence Intervals: Issues of Interpretation and Utilization”
Julius Sim and Norma Reid · 1999
Earlier work this paper cites.
“Understanding the Use, Misuse and Abuse of Safety Integrity Levels”
Felix Redmill · 2000
Earlier work this paper cites.
“Reliability Verification, Testing, and Analysis in Engineering Design”
Gary Wasserman · 2002
Earlier work this paper cites.
“15 - Risk Management”
W. Muhlbauer · 2004
Earlier work this paper cites.
“Introduction to IEC 61508”
Ron Bell · 2005
Earlier work this paper cites.
“9 - Reliability Demonstration Testing”
Ming-Wei Lu · 2005
Earlier work this paper cites.
“Object Categorization by Learned Universal Visual Dictionary”
J. Winn, A. Criminisi and T. Minka · 2005
Earlier work this paper cites.
“Dataset Issues in Object Recognition”
J. Ponce et al · 2006
Earlier work this paper cites.
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Earlier work this paper cites.
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Jia Deng et al · 2009
Earlier work this paper cites.
“The Number of All Possible Meaningful or Discernible Pictures”
Theo Pavlidis · 2009
Earlier work this paper cites.
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Patrick.. O’Connor and Andre Kleyner · 2011
Earlier work this paper cites.
“Unbiased Look at Dataset Bias”
Antonio Torralba and Alexei. Efros · 2011
Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Christian Szegedy et al · 2014
Earlier work this paper cites.
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Earlier work this paper cites.
“Software Engineering Testing EECS 4313 Winter 2015”, https://wiki.eecs.yorku.ca/course_archive/2014-15/W/4313/, 2015
Bil Tzerpos · 2015
Earlier work this paper cites.
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Earlier work this paper cites.
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Mahtani, J Brassey, Spencer and C Heneghan · 2017
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Cited alongside, same era.
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Later among the works it cites.
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Later among the works it cites.
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Later among the works it cites.
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Later among the works it cites.
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