ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1803.09010
  4. Cited By
Datasheets for Datasets
v1v2v3v4v5v6v7v8 (latest)

Datasheets for Datasets

23 March 2018
Timnit Gebru
Jamie Morgenstern
Briana Vecchione
Jennifer Wortman Vaughan
Hanna M. Wallach
Hal Daumé
Kate Crawford
ArXiv (abs)PDFHTML

Papers citing "Datasheets for Datasets"

50 / 1,069 papers shown
Understanding accountability in algorithmic supply chains
Understanding accountability in algorithmic supply chainsConference on Fairness, Accountability and Transparency (FAccT), 2023
Jennifer Cobbe
Michael Veale
Jatinder Singh
205
89
0
28 Apr 2023
A Group-Specific Approach to NLP for Hate Speech Detection
A Group-Specific Approach to NLP for Hate Speech Detection
Karina Halevy
164
1
0
21 Apr 2023
Auditing and Generating Synthetic Data with Controllable Trust
  Trade-offs
Auditing and Generating Synthetic Data with Controllable Trust Trade-offsIEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS), 2023
Brian M. Belgodere
Pierre Dognin
Adam Ivankay
Igor Melnyk
Youssef Mroueh
...
Mattia Rigotti
Jerret Ross
Yair Schiff
Radhika Vedpathak
Richard A. Young
509
17
0
21 Apr 2023
The Dataset Multiplicity Problem: How Unreliable Data Impacts
  Predictions
The Dataset Multiplicity Problem: How Unreliable Data Impacts PredictionsConference on Fairness, Accountability and Transparency (FAccT), 2023
Anna P. Meyer
Aws Albarghouthi
Loris Dántoni
248
20
0
20 Apr 2023
OpenLane-V2: A Topology Reasoning Benchmark for Unified 3D HD Mapping
OpenLane-V2: A Topology Reasoning Benchmark for Unified 3D HD MappingNeural Information Processing Systems (NeurIPS), 2023
Huijie Wang
Tianyu Li
Yang Li
Li Chen
Chonghao Sima
...
Hang Xu
Ping Luo
Junchi Yan
Wei Zhang
Guoying Gu
252
86
0
20 Apr 2023
Multimodal C4: An Open, Billion-scale Corpus of Images Interleaved with
  Text
Multimodal C4: An Open, Billion-scale Corpus of Images Interleaved with TextNeural Information Processing Systems (NeurIPS), 2023
Wanrong Zhu
Jack Hessel
Anas Awadalla
S. Gadre
Jesse Dodge
Alex Fang
Youngjae Yu
Ludwig Schmidt
William Yang Wang
Yejin Choi
VLM
499
218
0
14 Apr 2023
Benchmark Dataset Dynamics, Bias and Privacy Challenges in Voice
  Biometrics Research
Benchmark Dataset Dynamics, Bias and Privacy Challenges in Voice Biometrics Research
Casandra Rusti
Anna Leschanowsky
Carolyn Quinlan
Michaela Pnacekova
Lauriane Gorce
W. Hutiri
355
3
0
07 Apr 2023
Should ChatGPT be Biased? Challenges and Risks of Bias in Large Language
  Models
Should ChatGPT be Biased? Challenges and Risks of Bias in Large Language ModelsFirst Monday (FM), 2023
Emilio Ferrara
SILM
460
339
0
07 Apr 2023
Beyond Privacy: Navigating the Opportunities and Challenges of Synthetic
  Data
Beyond Privacy: Navigating the Opportunities and Challenges of Synthetic Data
B. V. Breugel
M. Schaar
170
37
0
07 Apr 2023
Machine Learning with Requirements: a Manifesto
Machine Learning with Requirements: a Manifesto
Eleonora Giunchiglia
F. Imrie
M. Schaar
Thomas Lukasiewicz
AI4TSOffRLVLM
234
11
0
07 Apr 2023
Replicability and Transparency for the Creation of Public Human User
  Video Game Datasets
Replicability and Transparency for the Creation of Public Human User Video Game Datasets
Emma J. Pretty
R. Guarese
Haytham M. Fayek
Fabio Zambetta
109
4
0
06 Apr 2023
Segment Anything
Segment AnythingIEEE International Conference on Computer Vision (ICCV), 2023
A. Kirillov
Eric Mintun
Nikhila Ravi
Hanzi Mao
Chloe Rolland
...
Spencer Whitehead
Alexander C. Berg
Wan-Yen Lo
Piotr Dollár
Ross B. Girshick
MLLMVLM
961
11,140
0
05 Apr 2023
Socio-economic landscape of digital transformation & public NLP systems:
  A critical review
Socio-economic landscape of digital transformation & public NLP systems: A critical review
Satyam Mohla
Anupam Guha
214
1
0
04 Apr 2023
Learning from data with structured missingness
Learning from data with structured missingnessNature Machine Intelligence (Nat. Mach. Intell.), 2023
R. Mitra
Sarah F. McGough
Tapabrata (Rohan) Chakraborty
Chris Holmes
Ryan Copping
...
M. Mackintosh
E. Andrinopoulou
A. Basiri
Chris Harbron
Ben D. MacArthur
CML
185
68
0
04 Apr 2023
The StatCan Dialogue Dataset: Retrieving Data Tables through
  Conversations with Genuine Intents
The StatCan Dialogue Dataset: Retrieving Data Tables through Conversations with Genuine IntentsConference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
Xing Han Lù
Siva Reddy
H. D. Vries
LMTD
221
7
0
03 Apr 2023
Assessing Language Model Deployment with Risk Cards
Assessing Language Model Deployment with Risk Cards
Leon Derczynski
Hannah Rose Kirk
Vidhisha Balachandran
Sachin Kumar
Yulia Tsvetkov
M. Leiser
Saif Mohammad
267
48
0
31 Mar 2023
A View From Somewhere: Human-Centric Face Representations
A View From Somewhere: Human-Centric Face RepresentationsInternational Conference on Learning Representations (ICLR), 2023
Jerone T. A. Andrews
Przemyslaw K. Joniak
Alice Xiang
CVBM
176
11
0
30 Mar 2023
Why is plausibility surprisingly problematic as an XAI criterion?
Why is plausibility surprisingly problematic as an XAI criterion?
Weina Jin
Xiaoxiao Li
Ghassan Hamarneh
367
10
0
30 Mar 2023
Demystifying Misconceptions in Social Bots Research
Demystifying Misconceptions in Social Bots ResearchSocial science computer review (SSCR), 2023
S. Cresci
Kai-Cheng Yang
A. Spognardi
Roberto Di Pietro
Maurizio Tesconi
M. Petrocchi
293
24
0
30 Mar 2023
Ecosystem Graphs: The Social Footprint of Foundation Models
Ecosystem Graphs: The Social Footprint of Foundation Models
Rishi Bommasani
Dilara Soylu
Thomas I. Liao
Kathleen A. Creel
Abigail Z. Jacobs
MLAU
195
43
0
28 Mar 2023
"That's important, but...": How Computer Science Researchers Anticipate
  Unintended Consequences of Their Research Innovations
"That's important, but...": How Computer Science Researchers Anticipate Unintended Consequences of Their Research InnovationsInternational Conference on Human Factors in Computing Systems (CHI), 2023
Kimberly Do
Rock Yuren Pang
Jiachen Jiang
Katharina Reinecke
187
38
0
27 Mar 2023
Right the docs: Characterising voice dataset documentation practices
  used in machine learning
Right the docs: Characterising voice dataset documentation practices used in machine learningAustralasian Language Technology Association Workshop (ALTA), 2023
Kathy Reid
Elizabeth T. Williams
168
2
0
19 Mar 2023
DeAR: Debiasing Vision-Language Models with Additive Residuals
DeAR: Debiasing Vision-Language Models with Additive ResidualsComputer Vision and Pattern Recognition (CVPR), 2023
Ashish Seth
Mayur Hemani
Chirag Agarwal
VLM
169
82
0
18 Mar 2023
Can Fairness be Automated? Guidelines and Opportunities for
  Fairness-aware AutoML
Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoMLJournal of Artificial Intelligence Research (JAIR), 2023
Hilde J. P. Weerts
Florian Pfisterer
Matthias Feurer
Katharina Eggensperger
Eddie Bergman
Noor H. Awad
Joaquin Vanschoren
Mykola Pechenizkiy
J. Herbinger
Katharina Eggensperger
FaML
359
24
0
15 Mar 2023
Sensing Wellbeing in the Workplace, Why and For Whom? Envisioning
  Impacts with Organizational Stakeholders
Sensing Wellbeing in the Workplace, Why and For Whom? Envisioning Impacts with Organizational Stakeholders
Anna Kawakami
Shreyans Chowdhary
Shamsi T. Iqbal
Q. V. Liao
Alexandra Olteanu
J. Suh
Koustuv Saha
241
51
0
13 Mar 2023
Overwriting Pretrained Bias with Finetuning Data
Overwriting Pretrained Bias with Finetuning DataIEEE International Conference on Computer Vision (ICCV), 2023
Angelina Wang
Olga Russakovsky
319
46
0
10 Mar 2023
Automotive Perception Software Development: An Empirical Investigation
  into Data, Annotation, and Ecosystem Challenges
Automotive Perception Software Development: An Empirical Investigation into Data, Annotation, and Ecosystem Challenges
Hans-Martin Heyn
K. M. Habibullah
E. Knauss
Jennifer Horkoff
Markus Borg
Alessia Knauss
Polly Jing Li
218
8
0
10 Mar 2023
Users are the North Star for AI Transparency
Users are the North Star for AI Transparency
Alex Mei
Michael Stephen Saxon
Shiyu Chang
Zachary Chase Lipton
William Yang Wang
192
14
0
09 Mar 2023
Contributing to Accessibility Datasets: Reflections on Sharing Study
  Data by Blind People
Contributing to Accessibility Datasets: Reflections on Sharing Study Data by Blind PeopleInternational Conference on Human Factors in Computing Systems (CHI), 2023
Rie Kamikubo
Kyungjun Lee
Hernisa Kacorri
180
15
0
09 Mar 2023
Extending the Pre-Training of BLOOM for Improved Support of Traditional
  Chinese: Models, Methods and Results
Extending the Pre-Training of BLOOM for Improved Support of Traditional Chinese: Models, Methods and Results
Philipp Ennen
Po-Chun Hsu
Chan-Jan Hsu
Chang-Le Liu
Yen-Chen Wu
Yin-Hsiang Liao
Chin-Tung Lin
Da-shan Shiu
Wei-Yun Ma
OSLMVLMAI4CE
201
12
0
08 Mar 2023
Planetary computing for data-driven environmental policy-making
Planetary computing for data-driven environmental policy-making
Patrick Ferris
Michael Dales
S. Jaffer
Amelia Holcomb
Eleanor Toye Scott
...
A. Eyres
A. Balmford
David A. Coomes
Srinivasan Keshav
Anil Madhavapeddy
127
0
0
08 Mar 2023
xCodeEval: A Large Scale Multilingual Multitask Benchmark for Code
  Understanding, Generation, Translation and Retrieval
xCodeEval: A Large Scale Multilingual Multitask Benchmark for Code Understanding, Generation, Translation and RetrievalAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Mohammad Abdullah Matin Khan
M Saiful Bari
Xuan Long Do
Weishi Wang
Md. Rizwan Parvez
Shafiq Joty
ALMELM
465
50
0
06 Mar 2023
Data Portraits: Recording Foundation Model Training Data
Data Portraits: Recording Foundation Model Training DataNeural Information Processing Systems (NeurIPS), 2023
Marc Marone
Benjamin Van Durme
518
36
0
06 Mar 2023
MLTEing Models: Negotiating, Evaluating, and Documenting Model and
  System Qualities
MLTEing Models: Negotiating, Evaluating, and Documenting Model and System Qualities
Katherine R. Maffey
Kyle Dotterrer
Jennifer Niemann
Iain J. Cruickshank
Grace A. Lewis
Jane Hsieh
156
9
0
03 Mar 2023
Towards Algorithmic Fairness by means of Instance-level Data
  Re-weighting based on Shapley Values
Towards Algorithmic Fairness by means of Instance-level Data Re-weighting based on Shapley Values
Adrián Arnaiz-Rodríguez
Nuria Oliver
FedMLTDI
353
5
0
03 Mar 2023
Feature Importance Disparities for Data Bias Investigations
Feature Importance Disparities for Data Bias InvestigationsInternational Conference on Machine Learning (ICML), 2023
Peter W. Chang
Leor Fishman
Seth Neel
419
3
0
03 Mar 2023
WiCE: Real-World Entailment for Claims in Wikipedia
WiCE: Real-World Entailment for Claims in WikipediaConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Ryo Kamoi
Tanya Goyal
Juan Diego Rodriguez
Greg Durrett
242
121
0
02 Mar 2023
audb -- Sharing and Versioning of Audio and Annotation Data in Python
audb -- Sharing and Versioning of Audio and Annotation Data in Python
H. Wierstorf
Johannes Wagner
F. Eyben
Felix Burkhardt
Björn W. Schuller
140
2
0
01 Mar 2023
The ROOTS Search Tool: Data Transparency for LLMs
The ROOTS Search Tool: Data Transparency for LLMsAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Aleksandra Piktus
Christopher Akiki
Paulo Villegas
Hugo Laurenccon
Gérard Dupont
A. Luccioni
Yacine Jernite
Anna Rogers
VLM
292
37
0
27 Feb 2023
Reproducibility of Machine Learning: Terminology, Recommendations and
  Open Issues
Reproducibility of Machine Learning: Terminology, Recommendations and Open Issues
Riccardo Albertoni
Sara Colantonio
Piotr Skrzypczyñski
J. Stefanowski
154
11
0
24 Feb 2023
Don't Look at the Data! How Differential Privacy Reconfigures the
  Practices of Data Science
Don't Look at the Data! How Differential Privacy Reconfigures the Practices of Data ScienceInternational Conference on Human Factors in Computing Systems (CHI), 2023
Jayshree Sarathy
Sophia Song
Audrey Haque
Tania Schlatter
Salil P. Vadhan
227
29
0
23 Feb 2023
fAIlureNotes: Supporting Designers in Understanding the Limits of AI
  Models for Computer Vision Tasks
fAIlureNotes: Supporting Designers in Understanding the Limits of AI Models for Computer Vision TasksInternational Conference on Human Factors in Computing Systems (CHI), 2023
Steven Moore
Q. V. Liao
Hariharan Subramonyam
190
30
0
22 Feb 2023
Deliberating with AI: Improving Decision-Making for the Future through
  Participatory AI Design and Stakeholder Deliberation
Deliberating with AI: Improving Decision-Making for the Future through Participatory AI Design and Stakeholder Deliberation
Angie Zhang
Olympia Walker
Kaci Nguyen
Jiajun Dai
Anqing Chen
Min Kyung Lee
139
68
0
22 Feb 2023
Bridging the Transparency Gap: What Can Explainable AI Learn From the AI
  Act?
Bridging the Transparency Gap: What Can Explainable AI Learn From the AI Act?European Conference on Artificial Intelligence (ECAI), 2023
Bálint Gyevnár
Nick Ferguson
Burkhard Schafer
325
28
0
21 Feb 2023
Designerly Understanding: Information Needs for Model Transparency to
  Support Design Ideation for AI-Powered User Experience
Designerly Understanding: Information Needs for Model Transparency to Support Design Ideation for AI-Powered User ExperienceInternational Conference on Human Factors in Computing Systems (CHI), 2023
Q. V. Liao
Hariharan Subramonyam
Jennifer Wang
Jennifer Wortman Vaughan
HAI
234
78
0
21 Feb 2023
Auditing large language models: a three-layered approach
Auditing large language models: a three-layered approachAI and Ethics (AE), 2023
Jakob Mokander
Jonas Schuett
Hannah Rose Kirk
Luciano Floridi
AILawMLAU
489
270
0
16 Feb 2023
A Systematic Literature Review of Human-Centered, Ethical, and
  Responsible AI
A Systematic Literature Review of Human-Centered, Ethical, and Responsible AI
Mohammad Tahaei
Marios Constantinides
Daniele Quercia
Michael J. Muller
AI4TS
288
16
0
10 Feb 2023
Zeno: An Interactive Framework for Behavioral Evaluation of Machine
  Learning
Zeno: An Interactive Framework for Behavioral Evaluation of Machine LearningInternational Conference on Human Factors in Computing Systems (CHI), 2023
Ángel Alexander Cabrera
Erica Fu
Donald Bertucci
Kenneth Holstein
Ameet Talwalkar
Jason I. Hong
Adam Perer
198
61
0
09 Feb 2023
Tracking Fringe and Coordinated Activity on Twitter Leading Up To the US
  Capitol Attack
Tracking Fringe and Coordinated Activity on Twitter Leading Up To the US Capitol AttackInternational Conference on Web and Social Media (ICWSM), 2023
Padinjaredath Suresh Vishnuprasad
Gianluca Nogara
Felipe Cardoso
S. Cresci
Silvia Giordano
Luca Luceri
LLMSV
185
42
0
09 Feb 2023
Diagnosing and Rectifying Vision Models using Language
Diagnosing and Rectifying Vision Models using LanguageInternational Conference on Learning Representations (ICLR), 2023
Yuhui Zhang
Jeff Z. HaoChen
Shih-Cheng Huang
Kuan-Chieh Wang
James Zou
Serena Yeung
213
61
0
08 Feb 2023
Previous
123...111213...202122
Next