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Collaboration Challenges in Building ML-Enabled Systems: Communication, Documentation, Engineering, and Process
19 October 2021
Nadia Nahar
Shurui Zhou
Grace A. Lewis
Christian Kastner
VLM
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Papers citing
"Collaboration Challenges in Building ML-Enabled Systems: Communication, Documentation, Engineering, and Process"
21 / 21 papers shown
Title
Orbit: A Framework for Designing and Evaluating Multi-objective Rankers
Chenyang Yang
Tesi Xiao
Michael Shavlovsky
Christian Kastner
Tongshuang Wu
39
0
0
07 Nov 2024
Prompts Are Programs Too! Understanding How Developers Build Software Containing Prompts
Jenny T Liang
Melissa Lin
Nikitha Rao
Brad A. Myers
75
5
0
19 Sep 2024
How Mature is Requirements Engineering for AI-based Systems? A Systematic Mapping Study on Practices, Challenges, and Future Research Directions
Umm-e- Habiba
Markus Haug
Justus Bogner
Stefan Wagner
24
0
0
11 Sep 2024
Law and the Emerging Political Economy of Algorithmic Audits
P. Terzis
Michael Veale
Noëlle Gaumann
MLAU
35
6
0
03 Apr 2024
Beyond Testers' Biases: Guiding Model Testing with Knowledge Bases using LLMs
Chenyang Yang
Rishabh Rustogi
Rachel A. Brower-Sinning
Grace A. Lewis
Christian Kastner
Tongshuang Wu
KELM
35
11
0
14 Oct 2023
MLTEing Models: Negotiating, Evaluating, and Documenting Model and System Qualities
Katherine R. Maffey
Kyle Dotterrer
Jennifer Niemann
Iain J. Cruickshank
Grace A. Lewis
Christian Kastner
27
4
0
03 Mar 2023
Tailoring Requirements Engineering for Responsible AI
W. Maalej
Y. D. Pham
Larissa Chazette
21
2
0
21 Feb 2023
Investigating How Practitioners Use Human-AI Guidelines: A Case Study on the People + AI Guidebook
Nur Yildirim
Mahima Pushkarna
Nitesh Goyal
Martin Wattenberg
Fernanda Viégas
49
67
0
28 Jan 2023
Understanding the Complexity and Its Impact on Testing in ML-Enabled Systems
Junming Cao
Bihuan Chen
Longjie Hu
Jie Ying Gao
Kaifeng Huang
Xin Peng
21
3
0
10 Jan 2023
Capabilities for Better ML Engineering
Chenyang Yang
Rachel A. Brower-Sinning
Grace A. Lewis
Christian Kastner
Tongshuang Wu
24
3
0
11 Nov 2022
Code Recommendation for Open Source Software Developers
Yiqiao Jin
Yunsheng Bai
Yanqiao Zhu
Yizhou Sun
Wei Wang
30
24
0
15 Oct 2022
A Preliminary Investigation of MLOps Practices in GitHub
Fabio Calefato
F. Lanubile
L. Quaranta
14
19
0
23 Sep 2022
Data Isotopes for Data Provenance in DNNs
Emily Wenger
Xiuyu Li
Ben Y. Zhao
Vitaly Shmatikov
20
12
0
29 Aug 2022
Taming Multi-Output Recommenders for Software Engineering
Christoph Treude
32
4
0
31 Jul 2022
The Real Deal: A Review of Challenges and Opportunities in Moving Reinforcement Learning-Based Traffic Signal Control Systems Towards Reality
Rex Chen
Fei Fang
Norman M. Sadeh
32
8
0
23 Jun 2022
On the Permanence of Backdoors in Evolving Models
Huiying Li
A. Bhagoji
Yuxin Chen
Haitao Zheng
Ben Y. Zhao
AAML
29
2
0
08 Jun 2022
Pynblint: a Static Analyzer for Python Jupyter Notebooks
L. Quaranta
Fabio Calefato
F. Lanubile
21
6
0
24 May 2022
Towards a Change Taxonomy for Machine Learning Systems
Aaditya Bhatia
Ellis E. Eghan
Manel Grichi
William G. Cavanagh
Zhen Ming
Z. Jiang
Bram Adams
23
8
0
21 Mar 2022
Facilitating Knowledge Sharing from Domain Experts to Data Scientists for Building NLP Models
Soya Park
A. Wang
B. Kawas
Q. V. Liao
David Piorkowski
Marina Danilevsky
62
55
0
29 Jan 2021
Towards Guidelines for Assessing Qualities of Machine Learning Systems
Julien Siebert
Lisa Joeckel
J. Heidrich
K. Nakamichi
Kyoko Ohashi
I. Namba
Rieko Yamamoto
M. Aoyama
28
47
0
25 Aug 2020
Improving fairness in machine learning systems: What do industry practitioners need?
Kenneth Holstein
Jennifer Wortman Vaughan
Hal Daumé
Miroslav Dudík
Hanna M. Wallach
FaML
HAI
192
742
0
13 Dec 2018
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