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Benchmarking Popular Classification Models' Robustness to Random and
  Targeted Corruptions

Benchmarking Popular Classification Models' Robustness to Random and Targeted Corruptions

31 January 2020
Utkarsh Desai
Srikanth G. Tamilselvam
Jassimran Kaur
Senthil Mani
Shreya Khare
ArXiv (abs)PDFHTML

Papers citing "Benchmarking Popular Classification Models' Robustness to Random and Targeted Corruptions"

1 / 1 papers shown
ShufText: A Simple Black Box Approach to Evaluate the Fragility of Text
  Classification Models
ShufText: A Simple Black Box Approach to Evaluate the Fragility of Text Classification ModelsInternational Conference on Machine Learning, Optimization, and Data Science (MOD), 2021
Rutuja Taware
Shraddha Varat
G. Salunke
Chaitanya Gawande
Geetanjali Kale
Rahul Khengare
Raviraj Joshi
114
7
0
30 Jan 2021
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