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Large image datasets: A pyrrhic win for computer vision?

Large image datasets: A pyrrhic win for computer vision?

24 June 2020
Vinay Uday Prabhu
Abeba Birhane
ArXivPDFHTML

Papers citing "Large image datasets: A pyrrhic win for computer vision?"

34 / 84 papers shown
Title
Kubric: A scalable dataset generator
Kubric: A scalable dataset generator
Klaus Greff
Francois Belletti
Lucas Beyer
Carl Doersch
Yilun Du
...
Ziyu Wang
Tianhao Wu
K. M. Yi
Fangcheng Zhong
Andrea Tagliasacchi
45
250
0
07 Mar 2022
Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning
Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning
Hao He
Kaiwen Zha
Dina Katabi
AAML
34
32
0
22 Feb 2022
Learning with Neighbor Consistency for Noisy Labels
Learning with Neighbor Consistency for Noisy Labels
Ahmet Iscen
Jack Valmadre
Anurag Arnab
Cordelia Schmid
NoLa
41
75
0
04 Feb 2022
Towards Adversarial Evaluations for Inexact Machine Unlearning
Towards Adversarial Evaluations for Inexact Machine Unlearning
Shashwat Goel
Ameya Prabhu
Amartya Sanyal
Ser-Nam Lim
Philip Torr
Ponnurangam Kumaraguru
AAML
ELM
MU
46
47
0
17 Jan 2022
Generalized Category Discovery
Generalized Category Discovery
S. Vaze
Kai Han
Andrea Vedaldi
Andrew Zisserman
40
188
0
07 Jan 2022
Turath-150K: Image Database of Arab Heritage
Turath-150K: Image Database of Arab Heritage
Dani Kiyasseh
Rasheed el-Bouri
24
0
0
01 Jan 2022
Learning Representations with Contrastive Self-Supervised Learning for
  Histopathology Applications
Learning Representations with Contrastive Self-Supervised Learning for Histopathology Applications
Karin Stacke
Jonas Unger
Claes Lundström
Gabriel Eilertsen
OOD
SSL
21
25
0
10 Dec 2021
Defending against Model Stealing via Verifying Embedded External
  Features
Defending against Model Stealing via Verifying Embedded External Features
Yiming Li
Linghui Zhu
Xiaojun Jia
Yong Jiang
Shutao Xia
Xiaochun Cao
AAML
43
61
0
07 Dec 2021
Reduced, Reused and Recycled: The Life of a Dataset in Machine Learning
  Research
Reduced, Reused and Recycled: The Life of a Dataset in Machine Learning Research
Bernard Koch
Emily L. Denton
A. Hanna
J. Foster
53
140
0
03 Dec 2021
AI and the Everything in the Whole Wide World Benchmark
AI and the Everything in the Whole Wide World Benchmark
Inioluwa Deborah Raji
Emily M. Bender
Amandalynne Paullada
Emily L. Denton
A. Hanna
30
291
0
26 Nov 2021
Going Grayscale: The Road to Understanding and Improving Unlearnable
  Examples
Going Grayscale: The Road to Understanding and Improving Unlearnable Examples
Zhuoran Liu
Zhengyu Zhao
A. Kolmus
Tijn Berns
Twan van Laarhoven
Tom Heskes
Martha Larson
AAML
41
6
0
25 Nov 2021
RedCaps: web-curated image-text data created by the people, for the
  people
RedCaps: web-curated image-text data created by the people, for the people
Karan Desai
Gaurav Kaul
Zubin Aysola
Justin Johnson
31
162
0
22 Nov 2021
Availability Attacks Create Shortcuts
Availability Attacks Create Shortcuts
Da Yu
Huishuai Zhang
Wei Chen
Jian Yin
Tie-Yan Liu
AAML
31
57
0
01 Nov 2021
Comparing Deep Neural Nets with UMAP Tour
Comparing Deep Neural Nets with UMAP Tour
Mingwei Li
C. Scheidegger
FAtt
18
1
0
18 Oct 2021
Inferring Offensiveness In Images From Natural Language Supervision
Inferring Offensiveness In Images From Natural Language Supervision
P. Schramowski
Kristian Kersting
32
2
0
08 Oct 2021
Improving Fractal Pre-training
Improving Fractal Pre-training
Connor Anderson
Ryan Farrell
88
27
0
06 Oct 2021
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
The five Is: Key principles for interpretable and safe conversational AI
The five Is: Key principles for interpretable and safe conversational AI
M. Wahde
M. Virgolin
36
5
0
31 Aug 2021
Retiring Adult: New Datasets for Fair Machine Learning
Retiring Adult: New Datasets for Fair Machine Learning
Frances Ding
Moritz Hardt
John Miller
Ludwig Schmidt
57
429
0
10 Aug 2021
Mitigating Dataset Harms Requires Stewardship: Lessons from 1000 Papers
Mitigating Dataset Harms Requires Stewardship: Lessons from 1000 Papers
Kenny Peng
Arunesh Mathur
Arvind Narayanan
99
94
0
06 Aug 2021
Can You Hear It? Backdoor Attacks via Ultrasonic Triggers
Can You Hear It? Backdoor Attacks via Ultrasonic Triggers
Stefanos Koffas
Jing Xu
Mauro Conti
S. Picek
AAML
22
66
0
30 Jul 2021
A Survey on Bias in Visual Datasets
A Survey on Bias in Visual Datasets
Simone Fabbrizzi
Symeon Papadopoulos
Eirini Ntoutsi
Y. Kompatsiaris
132
122
0
16 Jul 2021
Trustworthy AI: A Computational Perspective
Trustworthy AI: A Computational Perspective
Haochen Liu
Yiqi Wang
Wenqi Fan
Xiaorui Liu
Yaxin Li
Shaili Jain
Yunhao Liu
Anil K. Jain
Jiliang Tang
FaML
104
196
0
12 Jul 2021
The Values Encoded in Machine Learning Research
The Values Encoded in Machine Learning Research
Abeba Birhane
Pratyusha Kalluri
Dallas Card
William Agnew
Ravit Dotan
Michelle Bao
41
274
0
29 Jun 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
GitTables: A Large-Scale Corpus of Relational Tables
GitTables: A Large-Scale Corpus of Relational Tables
Madelon Hulsebos
cCaugatay Demiralp
Paul T. Groth
LMTD
26
83
0
14 Jun 2021
Provably Robust Detection of Out-of-distribution Data (almost) for free
Provably Robust Detection of Out-of-distribution Data (almost) for free
Alexander Meinke
Julian Bitterwolf
Matthias Hein
OODD
33
22
0
08 Jun 2021
Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets
Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets
Julia Kreutzer
Isaac Caswell
Lisa Wang
Ahsan Wahab
D. Esch
...
Duygu Ataman
Orevaoghene Ahia
Oghenefego Ahia
Sweta Agrawal
Mofetoluwa Adeyemi
20
267
0
22 Mar 2021
A Study of Face Obfuscation in ImageNet
A Study of Face Obfuscation in ImageNet
Kaiyu Yang
Jacqueline Yau
Li Fei-Fei
Jia Deng
Olga Russakovsky
PICV
CVBM
32
144
0
10 Mar 2021
Pre-training without Natural Images
Pre-training without Natural Images
Hirokatsu Kataoka
Kazushige Okayasu
Asato Matsumoto
Eisuke Yamagata
Ryosuke Yamada
Nakamasa Inoue
Akio Nakamura
Y. Satoh
81
117
0
21 Jan 2021
Unlearnable Examples: Making Personal Data Unexploitable
Unlearnable Examples: Making Personal Data Unexploitable
Hanxun Huang
Xingjun Ma
S. Erfani
James Bailey
Yisen Wang
MIACV
156
190
0
13 Jan 2021
Pitfalls in Machine Learning Research: Reexamining the Development Cycle
Pitfalls in Machine Learning Research: Reexamining the Development Cycle
Stella Biderman
Walter J. Scheirer
24
26
0
04 Nov 2020
Measuring the Algorithmic Efficiency of Neural Networks
Measuring the Algorithmic Efficiency of Neural Networks
Danny Hernandez
Tom B. Brown
241
94
0
08 May 2020
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of
  Generative Models
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
Sachit Menon
Alexandru Damian
Shijia Hu
Nikhil Ravi
Cynthia Rudin
OOD
DiffM
194
541
0
08 Mar 2020
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