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1810.03993
Cited By
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
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Papers citing
"Model Cards for Model Reporting"
50 / 794 papers shown
Title
A comparison of approaches to improve worst-case predictive model performance over patient subpopulations
Stephen R. Pfohl
Haoran Zhang
Yizhe Xu
Agata Foryciarz
Marzyeh Ghassemi
N. Shah
OOD
29
22
0
27 Aug 2021
A Framework for Understanding AI-Induced Field Change: How AI Technologies are Legitimized and Institutionalized
B. Larsen
16
4
0
18 Aug 2021
Reusable Templates and Guides For Documenting Datasets and Models for Natural Language Processing and Generation: A Case Study of the HuggingFace and GEM Data and Model Cards
Angelina McMillan-Major
Salomey Osei
Juan Diego Rodriguez
Pawan Sasanka Ammanamanchi
Sebastian Gehrmann
Yacine Jernite
42
48
0
16 Aug 2021
Active Assessment of Prediction Services as Accuracy Surface Over Attribute Combinations
Vihari Piratla
Soumen Chakrabarty
Sunita Sarawagi
16
3
0
14 Aug 2021
On Measures of Biases and Harms in NLP
Sunipa Dev
Emily Sheng
Jieyu Zhao
Aubrie Amstutz
Jiao Sun
...
M. Sanseverino
Jiin Kim
Akihiro Nishi
Nanyun Peng
Kai-Wei Chang
31
80
0
07 Aug 2021
Mitigating Dataset Harms Requires Stewardship: Lessons from 1000 Papers
Kenny Peng
Arunesh Mathur
Arvind Narayanan
99
94
0
06 Aug 2021
Underreporting of errors in NLG output, and what to do about it
Emiel van Miltenburg
Miruna Clinciu
Ondrej Dusek
Dimitra Gkatzia
Stephanie Inglis
...
Saad Mahamood
Emma Manning
S. Schoch
Craig Thomson
Luou Wen
27
38
0
02 Aug 2021
An Ethical Framework for Guiding the Development of Affectively-Aware Artificial Intelligence
Desmond C. Ong
19
28
0
29 Jul 2021
On the state of reporting in crowdsourcing experiments and a checklist to aid current practices
Jorge M. Ramírez
Burcu Sayin
Marcos Báez
Fabio Casati
L. Cernuzzi
B. Benatallah
Gianluca Demartini
11
24
0
28 Jul 2021
Artificial Intelligence in Healthcare: Lost In Translation?
V. Madai
David C. Higgins
16
4
0
28 Jul 2021
QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering and Reading Comprehension
Anna Rogers
Matt Gardner
Isabelle Augenstein
27
163
0
27 Jul 2021
Responsible and Regulatory Conform Machine Learning for Medicine: A Survey of Challenges and Solutions
Eike Petersen
Yannik Potdevin
Esfandiar Mohammadi
Stephan Zidowitz
Sabrina Breyer
...
Sandra Henn
Ludwig Pechmann
M. Leucker
P. Rostalski
Christian Herzog
FaML
AILaw
OOD
41
21
0
20 Jul 2021
Epistemic Neural Networks
Ian Osband
Zheng Wen
M. Asghari
Vikranth Dwaracherla
M. Ibrahimi
Xiyuan Lu
Benjamin Van Roy
UQCV
BDL
30
98
0
19 Jul 2021
MultiBench: Multiscale Benchmarks for Multimodal Representation Learning
Paul Pu Liang
Yiwei Lyu
Xiang Fan
Zetian Wu
Yun Cheng
...
Peter Wu
Michelle A. Lee
Yuke Zhu
Ruslan Salakhutdinov
Louis-Philippe Morency
VLM
32
159
0
15 Jul 2021
The Role of Social Movements, Coalitions, and Workers in Resisting Harmful Artificial Intelligence and Contributing to the Development of Responsible AI
Susan von Struensee
11
3
0
11 Jul 2021
Anticipating Safety Issues in E2E Conversational AI: Framework and Tooling
Emily Dinan
Gavin Abercrombie
A. S. Bergman
Shannon L. Spruit
Dirk Hovy
Y-Lan Boureau
Verena Rieser
43
105
0
07 Jul 2021
"Garbage In, Garbage Out" Revisited: What Do Machine Learning Application Papers Report About Human-Labeled Training Data?
R. Geiger
Dominique Cope
Jamie Ip
Marsha Lotosh
Aayush Shah
Jenny Weng
Rebekah Tang
25
59
0
05 Jul 2021
Ethics Sheets for AI Tasks
Saif M. Mohammad
17
31
0
02 Jul 2021
The Spotlight: A General Method for Discovering Systematic Errors in Deep Learning Models
G. dÉon
Jason dÉon
J. R. Wright
Kevin Leyton-Brown
30
74
0
01 Jul 2021
Using AntiPatterns to avoid MLOps Mistakes
Nikhil Muralidhar
Sathappah Muthiah
P. Butler
Manish Jain
Yu Yu
...
Weipeng Li
David Jones
P. Arunachalam
Hays Mccormick
Naren Ramakrishnan
22
17
0
30 Jun 2021
Reliability and Validity of Image-Based and Self-Reported Skin Phenotype Metrics
John J. Howard
Yevgeniy B. Sirotin
Jerry L. Tipton
A. Vemury
25
27
0
18 Jun 2021
Latent Mappings: Generating Open-Ended Expressive Mappings Using Variational Autoencoders
Tim Murray Browne
P. Tigas
DRL
12
14
0
16 Jun 2021
Best of both worlds: local and global explanations with human-understandable concepts
Jessica Schrouff
Sebastien Baur
Shaobo Hou
Diana Mincu
Eric Loreaux
Ralph Blanes
James Wexler
Alan Karthikesalingam
Been Kim
FAtt
31
28
0
16 Jun 2021
Simon Says: Evaluating and Mitigating Bias in Pruned Neural Networks with Knowledge Distillation
Cody Blakeney
Nathaniel Huish
Yan Yan
Ziliang Zong
23
18
0
15 Jun 2021
Counterfactual Explanations for Machine Learning: Challenges Revisited
Sahil Verma
John P Dickerson
Keegan E. Hines
LRM
13
26
0
14 Jun 2021
A Discussion on Building Practical NLP Leaderboards: The Case of Machine Translation
Sebastin Santy
Prasanta Bhattacharya
LLMAG
33
2
0
11 Jun 2021
Ruddit: Norms of Offensiveness for English Reddit Comments
Rishav Hada
S. Sudhir
Pushkar Mishra
H. Yannakoudakis
Saif M. Mohammad
Ekaterina Shutova
11
35
0
10 Jun 2021
Hard Choices in Artificial Intelligence
Roel Dobbe
T. Gilbert
Yonatan Dov Mintz
27
52
0
10 Jun 2021
Generative Models as a Data Source for Multiview Representation Learning
Ali Jahanian
Xavier Puig
Yonglong Tian
Phillip Isola
32
125
0
09 Jun 2021
Widening Access to Applied Machine Learning with TinyML
Vijay Janapa Reddi
Brian Plancher
Susan Kennedy
L. Moroney
Pete Warden
...
Dominic Pajak
Dhilan Ramaprasad
J. E. Smith
Matthew P. Stewart
D. Tingley
30
51
0
07 Jun 2021
How Good Is NLP? A Sober Look at NLP Tasks through the Lens of Social Impact
Zhijing Jin
Geeticka Chauhan
Brian Tse
Mrinmaya Sachan
Rada Mihalcea
30
25
0
04 Jun 2021
The Contestation of Tech Ethics: A Sociotechnical Approach to Technology Ethics in Practice
Benson K. Green
AILaw
25
53
0
03 Jun 2021
Generate, Prune, Select: A Pipeline for Counterspeech Generation against Online Hate Speech
Wanzheng Zhu
S. Bhat
17
54
0
03 Jun 2021
The Care Label Concept: A Certification Suite for Trustworthy and Resource-Aware Machine Learning
K. Morik
Helena Kotthaus
Lukas Heppe
Danny Heinrich
Raphael Fischer
Andrea Pauly
Nico Piatkowski
23
4
0
01 Jun 2021
DISSECT: Disentangled Simultaneous Explanations via Concept Traversals
Asma Ghandeharioun
Been Kim
Chun-Liang Li
Brendan Jou
B. Eoff
Rosalind W. Picard
AAML
30
53
0
31 May 2021
Ten Quick Tips for Deep Learning in Biology
Benjamin D. Lee
A. Gitter
Casey S. Greene
S. Raschka
F. Maguire
...
Alexandr A Kalinin
T. Triche
Benjamin J. Lengerich
Timothy J. Triche Jr
S. Boca
OOD
27
26
0
29 May 2021
Changing the World by Changing the Data
Anna Rogers
24
71
0
28 May 2021
Yes We Care! -- Certification for Machine Learning Methods through the Care Label Framework
K. Morik
Helena Kotthaus
Raphael Fischer
Sascha Mucke
Matthias Jakobs
Nico Piatkowski
Andrea Pauly
Lukas Heppe
Danny Heinrich
19
11
0
21 May 2021
Dynaboard: An Evaluation-As-A-Service Platform for Holistic Next-Generation Benchmarking
Zhiyi Ma
Kawin Ethayarajh
Tristan Thrush
Somya Jain
Ledell Yu Wu
Robin Jia
Christopher Potts
Adina Williams
Douwe Kiela
ELM
35
57
0
21 May 2021
Feature Interactions on Steroids: On the Composition of ML Models
Christian Kastner
Eunsuk Kang
S. Apel
26
8
0
13 May 2021
Providing Assurance and Scrutability on Shared Data and Machine Learning Models with Verifiable Credentials
I. Barclay
Alun D. Preece
Ian J. Taylor
S. Radha
J. Nabrzyski
14
14
0
13 May 2021
Chameleon: A Semi-AutoML framework targeting quick and scalable development and deployment of production-ready ML systems for SMEs
Johannes Otterbach
Thomas Wollmann
27
1
0
08 May 2021
Reliability Testing for Natural Language Processing Systems
Samson Tan
Chenyu You
K. Baxter
Araz Taeihagh
G. Bennett
Min-Yen Kan
15
38
0
06 May 2021
A Step Toward More Inclusive People Annotations for Fairness
Candice Schumann
Susanna Ricco
Utsav Prabhu
V. Ferrari
C. Pantofaru
28
63
0
05 May 2021
Learning by Design: Structuring and Documenting the Human Choices in Machine Learning Development
Simon Enni
Ira Assent
19
3
0
03 May 2021
An Examination of Fairness of AI Models for Deepfake Detection
Loc Trinh
Yong-Jin Liu
CVBM
77
35
0
02 May 2021
Mitigating Political Bias in Language Models Through Reinforced Calibration
Ruibo Liu
Chenyan Jia
Jason W. Wei
Guangxuan Xu
Lili Wang
Soroush Vosoughi
25
97
0
30 Apr 2021
Discover the Unknown Biased Attribute of an Image Classifier
Zhiheng Li
Chenliang Xu
30
50
0
29 Apr 2021
Model-based metrics: Sample-efficient estimates of predictive model subpopulation performance
Andrew C. Miller
Leon A. Gatys
Joseph D. Futoma
E. Fox
23
9
0
25 Apr 2021
CLIPScore: A Reference-free Evaluation Metric for Image Captioning
Jack Hessel
Ari Holtzman
Maxwell Forbes
Ronan Le Bras
Yejin Choi
CLIP
17
1,448
0
18 Apr 2021
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