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Evaluating Model Bias Requires Characterizing its Mistakes

Evaluating Model Bias Requires Characterizing its Mistakes

15 July 2024
Isabela Albuquerque
Jessica Schrouff
David Warde-Farley
Ali Taylan Cemgil
Sven Gowal
Olivia Wiles
ArXivPDFHTML

Papers citing "Evaluating Model Bias Requires Characterizing its Mistakes"

16 / 16 papers shown
Title
LANCE: Stress-testing Visual Models by Generating Language-guided
  Counterfactual Images
LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images
Viraj Prabhu
Sriram Yenamandra
Prithvijit Chattopadhyay
Judy Hoffman
48
40
0
30 May 2023
Balancing the Picture: Debiasing Vision-Language Datasets with Synthetic
  Contrast Sets
Balancing the Picture: Debiasing Vision-Language Datasets with Synthetic Contrast Sets
Brandon Smith
Miguel Farinha
S. Hall
Hannah Rose Kirk
Aleksandar Shtedritski
Max Bain
58
19
0
24 May 2023
Social Biases through the Text-to-Image Generation Lens
Social Biases through the Text-to-Image Generation Lens
Ranjita Naik
Besmira Nushi
126
116
0
30 Mar 2023
GPT-4 Technical Report
GPT-4 Technical Report
OpenAI OpenAI
OpenAI Josh Achiam
Steven Adler
Sandhini Agarwal
Lama Ahmad
...
Shengjia Zhao
Tianhao Zheng
Juntang Zhuang
William Zhuk
Barret Zoph
LLMAG
MLLM
647
13,788
0
15 Mar 2023
Data-Centric Debugging: mitigating model failures via targeted data
  collection
Data-Centric Debugging: mitigating model failures via targeted data collection
Sahil Singla
Atoosa Malemir Chegini
Mazda Moayeri
Soheil Feiz
72
4
0
17 Nov 2022
Subverting machines, fluctuating identities: Re-learning human
  categorization
Subverting machines, fluctuating identities: Re-learning human categorization
Christina T. Lu
Jackie Kay
Kevin R. McKee
39
19
0
27 May 2022
A Prompt Array Keeps the Bias Away: Debiasing Vision-Language Models
  with Adversarial Learning
A Prompt Array Keeps the Bias Away: Debiasing Vision-Language Models with Adversarial Learning
Hugo Elias Berg
S. Hall
Yash Bhalgat
Wonsuk Yang
Hannah Rose Kirk
Aleksandar Shtedritski
Max Bain
VLM
47
100
0
22 Mar 2022
Learning Transferable Visual Models From Natural Language Supervision
Learning Transferable Visual Models From Natural Language Supervision
Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
Gabriel Goh
...
Amanda Askell
Pamela Mishkin
Jack Clark
Gretchen Krueger
Ilya Sutskever
CLIP
VLM
681
28,659
0
26 Feb 2021
WILDS: A Benchmark of in-the-Wild Distribution Shifts
WILDS: A Benchmark of in-the-Wild Distribution Shifts
Pang Wei Koh
Shiori Sagawa
Henrik Marklund
Sang Michael Xie
Marvin Zhang
...
A. Kundaje
Emma Pierson
Sergey Levine
Chelsea Finn
Percy Liang
OOD
146
1,418
0
14 Dec 2020
Big Transfer (BiT): General Visual Representation Learning
Big Transfer (BiT): General Visual Representation Learning
Alexander Kolesnikov
Lucas Beyer
Xiaohua Zhai
J. Puigcerver
Jessica Yung
Sylvain Gelly
N. Houlsby
MQ
217
1,196
0
24 Dec 2019
Distributionally Robust Neural Networks for Group Shifts: On the
  Importance of Regularization for Worst-Case Generalization
Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization
Shiori Sagawa
Pang Wei Koh
Tatsunori B. Hashimoto
Percy Liang
OOD
62
1,229
0
20 Nov 2019
Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep
  Neural Network Embeddings
Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings
Mohsan S. Alvi
Andrew Zisserman
C. Nellåker
FaML
95
248
0
06 Sep 2018
A Broad-Coverage Challenge Corpus for Sentence Understanding through
  Inference
A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference
Adina Williams
Nikita Nangia
Samuel R. Bowman
405
4,444
0
18 Apr 2017
Inception-v4, Inception-ResNet and the Impact of Residual Connections on
  Learning
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
Christian Szegedy
Sergey Ioffe
Vincent Vanhoucke
Alexander A. Alemi
299
14,196
0
23 Feb 2016
Microsoft COCO Captions: Data Collection and Evaluation Server
Microsoft COCO Captions: Data Collection and Evaluation Server
Xinlei Chen
Hao Fang
Nayeon Lee
Ramakrishna Vedantam
Saurabh Gupta
Piotr Dollar
C. L. Zitnick
153
2,461
0
01 Apr 2015
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
333
43,511
0
17 Sep 2014
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