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Model Cards for Model Reporting
v1v2 (latest)

Model Cards for Model Reporting

5 October 2018
Margaret Mitchell
Simone Wu
Andrew Zaldivar
Parker Barnes
Lucy Vasserman
Ben Hutchinson
Elena Spitzer
Inioluwa Deborah Raji
Timnit Gebru
ArXiv (abs)PDFHTML

Papers citing "Model Cards for Model Reporting"

50 / 416 papers shown
Title
Scaling Autoregressive Models for Content-Rich Text-to-Image Generation
Scaling Autoregressive Models for Content-Rich Text-to-Image Generation
Jiahui Yu
Yuanzhong Xu
Jing Yu Koh
Thang Luong
Gunjan Baid
...
Zarana Parekh
Xin Li
Han Zhang
Jason Baldridge
Yonghui Wu
EGVM
211
1,134
0
22 Jun 2022
Characteristics of Harmful Text: Towards Rigorous Benchmarking of
  Language Models
Characteristics of Harmful Text: Towards Rigorous Benchmarking of Language Models
Maribeth Rauh
John F. J. Mellor
J. Uesato
Po-Sen Huang
Johannes Welbl
...
Amelia Glaese
G. Irving
Iason Gabriel
William S. Isaac
Lisa Anne Hendricks
115
52
0
16 Jun 2022
Smallset Timelines: A Visual Representation of Data Preprocessing
  Decisions
Smallset Timelines: A Visual Representation of Data Preprocessing Decisions
L. R. Lucchesi
Petra Kuhnert
Jenny L. Davis
Lexing Xie
65
10
0
10 Jun 2022
Network Report: A Structured Description for Network Datasets
Network Report: A Structured Description for Network Datasets
Xinyi Zheng
Ryan A. Rossi
Nesreen Ahmed
Dominik Moritz
53
4
0
08 Jun 2022
Machine Learning Sensors
Machine Learning Sensors
Pete Warden
Matthew P. Stewart
Brian Plancher
Colby R. Banbury
Shvetank Prakash
Emma Chen
Zain Asgar
Sachin Katti
Vijay Janapa Reddi
69
12
0
07 Jun 2022
Recall Distortion in Neural Network Pruning and the Undecayed Pruning
  Algorithm
Recall Distortion in Neural Network Pruning and the Undecayed Pruning Algorithm
Aidan Good
Jia-Huei Lin
Hannah Sieg
Mikey Ferguson
Xin Yu
Shandian Zhe
J. Wieczorek
Thiago Serra
87
11
0
07 Jun 2022
Understanding Machine Learning Practitioners' Data Documentation
  Perceptions, Needs, Challenges, and Desiderata
Understanding Machine Learning Practitioners' Data Documentation Perceptions, Needs, Challenges, and Desiderata
A. Heger
Elizabeth B. Marquis
Mihaela Vorvoreanu
Hanna M. Wallach
J. W. Vaughan
81
62
0
06 Jun 2022
When Personalization Harms: Reconsidering the Use of Group Attributes in
  Prediction
When Personalization Harms: Reconsidering the Use of Group Attributes in Prediction
Vinith Suriyakumar
Marzyeh Ghassemi
Berk Ustun
103
9
0
04 Jun 2022
The Algorithmic Imprint
The Algorithmic Imprint
Upol Ehsan
Ranjit Singh
Jacob Metcalf
Mark O. Riedl
FaML
82
34
0
03 Jun 2022
Quark: Controllable Text Generation with Reinforced Unlearning
Quark: Controllable Text Generation with Reinforced Unlearning
Ximing Lu
Sean Welleck
Jack Hessel
Liwei Jiang
Lianhui Qin
Peter West
Prithviraj Ammanabrolu
Yejin Choi
MU
169
220
0
26 May 2022
Analyzing Hate Speech Data along Racial, Gender and Intersectional Axes
Analyzing Hate Speech Data along Racial, Gender and Intersectional Axes
Antonis Maronikolakis
Philip Baader
Hinrich Schütze
59
9
0
13 May 2022
The Different Faces of AI Ethics Across the World: A
  Principle-Implementation Gap Analysis
The Different Faces of AI Ethics Across the World: A Principle-Implementation Gap Analysis
L. Tidjon
Foutse Khomh
39
8
0
12 May 2022
A Generalist Agent
A Generalist Agent
Scott E. Reed
Konrad Zolna
Emilio Parisotto
Sergio Gomez Colmenarejo
Alexander Novikov
...
Yutian Chen
R. Hadsell
Oriol Vinyals
Mahyar Bordbar
Nando de Freitas
LM&RoLLMAGAI4CE
213
827
0
12 May 2022
A Computational Acquisition Model for Multimodal Word Categorization
A Computational Acquisition Model for Multimodal Word Categorization
Uri Berger
Gabriel Stanovsky
Omri Abend
Lea Frermann
48
9
0
12 May 2022
How Platform-User Power Relations Shape Algorithmic Accountability: A
  Case Study of Instant Loan Platforms and Financially Stressed Users in India
How Platform-User Power Relations Shape Algorithmic Accountability: A Case Study of Instant Loan Platforms and Financially Stressed Users in India
Divya Ramesh
Vaishnav Kameswaran
Ding-wen Wang
Nithya Sambasivan
76
36
0
11 May 2022
Evaluation Gaps in Machine Learning Practice
Evaluation Gaps in Machine Learning Practice
Ben Hutchinson
Negar Rostamzadeh
Christina Greer
Katherine A. Heller
Vinodkumar Prabhakaran
ELM
98
63
0
11 May 2022
Richer Countries and Richer Representations
Richer Countries and Richer Representations
Kaitlyn Zhou
Kawin Ethayarajh
Dan Jurafsky
80
9
0
10 May 2022
Problems with Cosine as a Measure of Embedding Similarity for High
  Frequency Words
Problems with Cosine as a Measure of Embedding Similarity for High Frequency Words
Kaitlyn Zhou
Kawin Ethayarajh
Dallas Card
Dan Jurafsky
94
69
0
10 May 2022
Towards Climate Awareness in NLP Research
Towards Climate Awareness in NLP Research
Daniel Hershcovich
Nicolas Webersinke
Mathias Kraus
J. Bingler
Markus Leippold
123
34
0
10 May 2022
Fatigue Prediction in Outdoor Running Conditions using Audio Data
Fatigue Prediction in Outdoor Running Conditions using Audio Data
Andreas Triantafyllopoulos
Sandra Ottl
Alexander Gebhard
Esther Rituerto-González
Mirko Jaumann
...
P. Schneeweiss
I. Krauss
Maurice Gerczuk
Shahin Amiriparian
Björn W. Schuller
55
9
0
09 May 2022
Transparency, Compliance, And Contestability When Code Is(n't) Law
Transparency, Compliance, And Contestability When Code Is(n't) Law
A. Hicks
AILaw
52
4
0
08 May 2022
Interactive Model Cards: A Human-Centered Approach to Model
  Documentation
Interactive Model Cards: A Human-Centered Approach to Model Documentation
Anamaria Crisan
Margaret Drouhard
Jesse Vig
Nazneen Rajani
HAI
78
90
0
05 May 2022
Data Governance in the Age of Large-Scale Data-Driven Language
  Technology
Data Governance in the Age of Large-Scale Data-Driven Language Technology
Yacine Jernite
Huu Nguyen
Stella Biderman
A. Rogers
Maraim Masoud
...
Jorg Frohberg
Aaron Gokaslan
Peter Henderson
Rishi Bommasani
Margaret Mitchell
78
53
0
04 May 2022
OPT: Open Pre-trained Transformer Language Models
OPT: Open Pre-trained Transformer Language Models
Susan Zhang
Stephen Roller
Naman Goyal
Mikel Artetxe
Moya Chen
...
Daniel Simig
Punit Singh Koura
Anjali Sridhar
Tianlu Wang
Luke Zettlemoyer
VLMOSLMAI4CE
386
3,707
0
02 May 2022
A Survey on Uncertainty Toolkits for Deep Learning
A Survey on Uncertainty Toolkits for Deep Learning
Maximilian Pintz
Joachim Sicking
Maximilian Poretschkin
Maram Akila
ELM
70
6
0
02 May 2022
Handling and Presenting Harmful Text in NLP Research
Handling and Presenting Harmful Text in NLP Research
Hannah Rose Kirk
Abeba Birhane
Bertie Vidgen
Leon Derczynski
97
52
0
29 Apr 2022
Flamingo: a Visual Language Model for Few-Shot Learning
Flamingo: a Visual Language Model for Few-Shot Learning
Jean-Baptiste Alayrac
Jeff Donahue
Pauline Luc
Antoine Miech
Iain Barr
...
Mikolaj Binkowski
Ricardo Barreira
Oriol Vinyals
Andrew Zisserman
Karen Simonyan
MLLMVLM
420
3,617
0
29 Apr 2022
Tailored Uncertainty Estimation for Deep Learning Systems
Tailored Uncertainty Estimation for Deep Learning Systems
Joachim Sicking
Maram Akila
Jan David Schneider
Fabian Hüger
Peter Schlicht
Tim Wirtz
Stefan Wrobel
UQCV
74
2
0
29 Apr 2022
Designing for Responsible Trust in AI Systems: A Communication
  Perspective
Designing for Responsible Trust in AI Systems: A Communication Perspective
Q. V. Liao
S. Sundar
65
108
0
29 Apr 2022
Prescriptive and Descriptive Approaches to Machine-Learning Transparency
Prescriptive and Descriptive Approaches to Machine-Learning Transparency
David Adkins
B. Alsallakh
Adeel Cheema
Narine Kokhlikyan
Emily McReynolds
Pushkar Mishra
Chavez Procope
Jeremy Sawruk
Erin Wang
Polina Zvyagina
25
13
0
27 Apr 2022
The MeVer DeepFake Detection Service: Lessons Learnt from Developing and
  Deploying in the Wild
The MeVer DeepFake Detection Service: Lessons Learnt from Developing and Deploying in the Wild
Spyridon Baxevanakis
Giorgos Kordopatis-Zilos
Panagiotis Galopoulos
Lazaros Apostolidis
Killian Levacher
Ipek B. Schlicht
Denis Teyssou
I. Kompatsiaris
Symeon Papadopoulos
67
8
0
27 Apr 2022
Modular Domain Adaptation
Modular Domain Adaptation
Junshen K. Chen
Dallas Card
Dan Jurafsky
56
1
0
26 Apr 2022
A Brief Guide to Designing and Evaluating Human-Centered Interactive
  Machine Learning
A Brief Guide to Designing and Evaluating Human-Centered Interactive Machine Learning
K. Mathewson
P. Pilarski
HAI
36
4
0
20 Apr 2022
System Analysis for Responsible Design of Modern AI/ML Systems
System Analysis for Responsible Design of Modern AI/ML Systems
Virginia Goodwin
R. Caceres
57
0
0
19 Apr 2022
Impact of Tokenization on Language Models: An Analysis for Turkish
Impact of Tokenization on Language Models: An Analysis for Turkish
Cagri Toraman
E. Yilmaz
Furkan Şahinuç
Oguzhan Ozcelik
104
81
0
19 Apr 2022
Fair Algorithm Design: Fair and Efficacious Machine Scheduling
Fair Algorithm Design: Fair and Efficacious Machine Scheduling
April Niu
Agnes Totschnig
A. Vetta
FaML
60
3
0
13 Apr 2022
Experimental Standards for Deep Learning in Natural Language Processing
  Research
Experimental Standards for Deep Learning in Natural Language Processing Research
Dennis Ulmer
Elisa Bassignana
Max Müller-Eberstein
Daniel Varab
Mike Zhang
Rob van der Goot
Christian Hardmeier
Barbara Plank
102
10
0
13 Apr 2022
Metaethical Perspectives on 'Benchmarking' AI Ethics
Metaethical Perspectives on 'Benchmarking' AI Ethics
Travis LaCroix
A. Luccioni
57
8
0
11 Apr 2022
A Siren Song of Open Source Reproducibility
A Siren Song of Open Source Reproducibility
Edward Raff
Andrew L. Farris
90
9
0
09 Apr 2022
PaLM: Scaling Language Modeling with Pathways
PaLM: Scaling Language Modeling with Pathways
Aakanksha Chowdhery
Sharan Narang
Jacob Devlin
Maarten Bosma
Gaurav Mishra
...
Kathy Meier-Hellstern
Douglas Eck
J. Dean
Slav Petrov
Noah Fiedel
PILMLRM
551
6,315
0
05 Apr 2022
Adjusting for Bias with Procedural Data
Adjusting for Bias with Procedural Data
Shesh Narayan Gupta
Nicholas Bear Brown
66
6
0
03 Apr 2022
Data Cards: Purposeful and Transparent Dataset Documentation for
  Responsible AI
Data Cards: Purposeful and Transparent Dataset Documentation for Responsible AI
Mahima Pushkarna
Andrew Zaldivar
Oddur Kjartansson
AI4TS
106
222
0
03 Apr 2022
Training Compute-Optimal Large Language Models
Training Compute-Optimal Large Language Models
Jordan Hoffmann
Sebastian Borgeaud
A. Mensch
Elena Buchatskaya
Trevor Cai
...
Karen Simonyan
Erich Elsen
Jack W. Rae
Oriol Vinyals
Laurent Sifre
AI4TS
213
1,992
0
29 Mar 2022
Telling Stories from Computational Notebooks: AI-Assisted Presentation
  Slides Creation for Presenting Data Science Work
Telling Stories from Computational Notebooks: AI-Assisted Presentation Slides Creation for Presenting Data Science Work
Chengbo Zheng
Dakuo Wang
A. Wang
Xiaojuan Ma
103
53
0
21 Mar 2022
Towards Responsible Natural Language Annotation for the Varieties of
  Arabic
Towards Responsible Natural Language Annotation for the Varieties of Arabic
A. S. Bergman
Mona T. Diab
93
19
0
17 Mar 2022
Cross-model Fairness: Empirical Study of Fairness and Ethics Under Model
  Multiplicity
Cross-model Fairness: Empirical Study of Fairness and Ethics Under Model Multiplicity
Kacper Sokol
Meelis Kull
J. Chan
Flora D. Salim
73
8
0
14 Mar 2022
The worst of both worlds: A comparative analysis of errors in learning
  from data in psychology and machine learning
The worst of both worlds: A comparative analysis of errors in learning from data in psychology and machine learning
Jessica Hullman
Sayash Kapoor
Priyanka Nanayakkara
Andrew Gelman
Arvind Narayanan
147
39
0
12 Mar 2022
Model Positionality and Computational Reflexivity: Promoting Reflexivity
  in Data Science
Model Positionality and Computational Reflexivity: Promoting Reflexivity in Data Science
S. Cambo
Darren Gergle
70
36
0
08 Mar 2022
Towards a Responsible AI Development Lifecycle: Lessons From Information
  Security
Towards a Responsible AI Development Lifecycle: Lessons From Information Security
Erick Galinkin
SILM
47
6
0
06 Mar 2022
System Cards for AI-Based Decision-Making for Public Policy
System Cards for AI-Based Decision-Making for Public Policy
Furkan Gursoy
I. Kakadiaris
MLAU
71
16
0
01 Mar 2022
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