ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1605.06083
  4. Cited By
Stereotyping and Bias in the Flickr30K Dataset

Stereotyping and Bias in the Flickr30K Dataset

19 May 2016
Emiel van Miltenburg
ArXivPDFHTML

Papers citing "Stereotyping and Bias in the Flickr30K Dataset"

15 / 15 papers shown
Title
Attention IoU: Examining Biases in CelebA using Attention Maps
Attention IoU: Examining Biases in CelebA using Attention Maps
Aaron Serianni
Tyler Zhu
Olga Russakovsky
V. V. Ramaswamy
45
0
0
25 Mar 2025
A Decade's Battle on Dataset Bias: Are We There Yet?
A Decade's Battle on Dataset Bias: Are We There Yet?
Zhuang Liu
Kaiming He
44
28
0
13 Mar 2024
Evaluating Bias and Fairness in Gender-Neutral Pretrained
  Vision-and-Language Models
Evaluating Bias and Fairness in Gender-Neutral Pretrained Vision-and-Language Models
Laura Cabello
Emanuele Bugliarello
Stephanie Brandl
Desmond Elliott
23
7
0
26 Oct 2023
Uncurated Image-Text Datasets: Shedding Light on Demographic Bias
Uncurated Image-Text Datasets: Shedding Light on Demographic Bias
Noa Garcia
Yusuke Hirota
Yankun Wu
Yuta Nakashima
EGVM
43
51
0
06 Apr 2023
A Friendly Face: Do Text-to-Image Systems Rely on Stereotypes when the
  Input is Under-Specified?
A Friendly Face: Do Text-to-Image Systems Rely on Stereotypes when the Input is Under-Specified?
Kathleen C. Fraser
S. Kiritchenko
I. Nejadgholi
DiffM
35
36
0
14 Feb 2023
Underspecification in Scene Description-to-Depiction Tasks
Underspecification in Scene Description-to-Depiction Tasks
Ben Hutchinson
Jason Baldridge
Vinodkumar Prabhakaran
DiffM
74
32
0
11 Oct 2022
PASS: An ImageNet replacement for self-supervised pretraining without
  humans
PASS: An ImageNet replacement for self-supervised pretraining without humans
Yuki M. Asano
Christian Rupprecht
Andrew Zisserman
Andrea Vedaldi
VLM
SSL
21
57
0
27 Sep 2021
Understanding and Evaluating Racial Biases in Image Captioning
Understanding and Evaluating Racial Biases in Image Captioning
Dora Zhao
Angelina Wang
Olga Russakovsky
30
134
0
16 Jun 2021
Discovering and Categorising Language Biases in Reddit
Discovering and Categorising Language Biases in Reddit
Xavier Ferrer Aran
Tom van Nuenen
Jose Such
Natalia Criado
8
49
0
06 Aug 2020
Algorithmic Fairness
Algorithmic Fairness
Dana Pessach
E. Shmueli
FaML
33
388
0
21 Jan 2020
Statistical Learning from Biased Training Samples
Statistical Learning from Biased Training Samples
Stéphan Clémençon
Pierre Laforgue
20
9
0
28 Jun 2019
Implicit Diversity in Image Summarization
Implicit Diversity in Image Summarization
L. E. Celis
Vijay Keswani
21
33
0
29 Jan 2019
Women also Snowboard: Overcoming Bias in Captioning Models (Extended
  Abstract)
Women also Snowboard: Overcoming Bias in Captioning Models (Extended Abstract)
Lisa Anne Hendricks
Kaylee Burns
Kate Saenko
Trevor Darrell
Anna Rohrbach
39
478
0
02 Jul 2018
Predicting Demographics, Moral Foundations, and Human Values from
  Digital Behaviors
Predicting Demographics, Moral Foundations, and Human Values from Digital Behaviors
Kyriaki Kalimeri
Mariano G. Beiró
M. Delfino
R. Raleigh
C. Cattuto
44
60
0
05 Dec 2017
Incorporating Global Visual Features into Attention-Based Neural Machine
  Translation
Incorporating Global Visual Features into Attention-Based Neural Machine Translation
Iacer Calixto
Qun Liu
Nick Campbell
32
154
0
23 Jan 2017
1