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Responses to Critiques on Machine Learning of Criminality Perceptions
  (Addendum of arXiv:1611.04135)

Responses to Critiques on Machine Learning of Criminality Perceptions (Addendum of arXiv:1611.04135)

13 November 2016
Xiaolin Wu
Xi Zhang
    CVBM
ArXivPDFHTML

Papers citing "Responses to Critiques on Machine Learning of Criminality Perceptions (Addendum of arXiv:1611.04135)"

5 / 5 papers shown
Title
Visual Privacy: Current and Emerging Regulations Around Unconsented
  Video Analytics in Retail
Visual Privacy: Current and Emerging Regulations Around Unconsented Video Analytics in Retail
S. Pletcher
11
4
0
24 Feb 2023
Goal Misgeneralization: Why Correct Specifications Aren't Enough For
  Correct Goals
Goal Misgeneralization: Why Correct Specifications Aren't Enough For Correct Goals
Rohin Shah
Vikrant Varma
Ramana Kumar
Mary Phuong
Victoria Krakovna
J. Uesato
Zachary Kenton
32
68
0
04 Oct 2022
Accountability in an Algorithmic Society: Relationality, Responsibility,
  and Robustness in Machine Learning
Accountability in an Algorithmic Society: Relationality, Responsibility, and Robustness in Machine Learning
A. Feder Cooper
Emanuel Moss
Benjamin Laufer
Helen Nissenbaum
MLAU
24
85
0
10 Feb 2022
Pre-Trained Language Transformers are Universal Image Classifiers
Pre-Trained Language Transformers are Universal Image Classifiers
Rahul Goel
Modar Sulaiman
Kimia Noorbakhsh
Mahdieh Sharifi
Ragunath R. Sharma
Pooyan Jamshidi
Kallol Roy
ViT
22
2
0
25 Jan 2022
Pitfalls in Machine Learning Research: Reexamining the Development Cycle
Pitfalls in Machine Learning Research: Reexamining the Development Cycle
Stella Biderman
Walter J. Scheirer
19
26
0
04 Nov 2020
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