FeedbackLogs: Recording and Incorporating Stakeholder Feedback into Machine Learning Pipelines

28 July 2023

Papers citing "FeedbackLogs: Recording and Incorporating Stakeholder Feedback into Machine Learning Pipelines"

26 / 26 papers shown

Title
Evaluating Human-Language Model Interaction Mina Lee Megha Srivastava Amelia Hardy John Thickstun Esin Durmus ... Hancheng Cao Tony Lee Rishi Bommasani Michael S. Bernstein Percy Liang LM&MA ALM 95 102 0 19 Dec 2022
Mass-Editing Memory in a Transformer Kevin Meng Arnab Sen Sharma A. Andonian Yonatan Belinkov David Bau KELM VLM 138 599 0 13 Oct 2022
Healthsheet: Development of a Transparency Artifact for Health Datasets Negar Rostamzadeh Diana Mincu Subhrajit Roy A. Smart Lauren Wilcox Mahima Pushkarna Jessica Schrouff Razvan Amironesei Nyalleng Moorosi Katherine A. Heller 89 63 0 26 Feb 2022
Locating and Editing Factual Associations in GPT Kevin Meng David Bau A. Andonian Yonatan Belinkov KELM 251 1,381 0 10 Feb 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 845 9,644 0 28 Jan 2022
GAM Changer: Editing Generalized Additive Models with Interactive Visualization Zijie J. Wang Alex Kale Harsha Nori P. Stella M. Nunnally Duen Horng Chau Mihaela Vorvoreanu Jennifer Wortman Vaughan R. Caruana KELM 30 24 0 06 Dec 2021
Robust fine-tuning of zero-shot models Mitchell Wortsman Gabriel Ilharco Jong Wook Kim Mike Li Simon Kornblith ... Raphael Gontijo-Lopes Hannaneh Hajishirzi Ali Farhadi Hongseok Namkoong Ludwig Schmidt VLM 154 736 0 04 Sep 2021
Ethics-Based Auditing to Develop Trustworthy AI Jakob Mokander Luciano Floridi 34 125 0 30 Apr 2021
Soliciting Stakeholders' Fairness Notions in Child Maltreatment Predictive Systems H. Cheng Logan Stapleton Ruiqi Wang Paige E Bullock Alexandra Chouldechova Zhiwei Steven Wu Haiyi Zhu FaML 48 68 0 01 Feb 2021
Beyond Expertise and Roles: A Framework to Characterize the Stakeholders of Interpretable Machine Learning and their Needs Harini Suresh Steven R. Gomez K. Nam Arvind Satyanarayan 80 133 0 24 Jan 2021
Challenges in Deploying Machine Learning: a Survey of Case Studies Andrei Paleyes Raoul-Gabriel Urma Neil D. Lawrence 64 403 0 18 Nov 2020
Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty Umang Bhatt Javier Antorán Yunfeng Zhang Q. V. Liao P. Sattigeri ... L. Nachman R. Chunara Madhulika Srikumar Adrian Weller Alice Xiang 87 250 0 15 Nov 2020
MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks Zhiqiang Shen Marios Savvides 59 63 0 17 Sep 2020
Machine Learning Explainability for External Stakeholders Umang Bhatt Mckane Andrus Adrian Weller Alice Xiang FaML SILM 39 58 0 10 Jul 2020
Concept Bottleneck Models Pang Wei Koh Thao Nguyen Y. S. Tang Stephen Mussmann Emma Pierson Been Kim Percy Liang 101 833 0 09 Jul 2020
Participation is not a Design Fix for Machine Learning Mona Sloane Emanuel Moss O. Awomolo Laura Forlano HAI 81 214 0 05 Jul 2020
Principles to Practices for Responsible AI: Closing the Gap Daniel S. Schiff B. Rakova A. Ayesh Anat Fanti M. Lennon 89 89 0 08 Jun 2020
Release Strategies and the Social Impacts of Language Models Irene Solaiman Miles Brundage Jack Clark Amanda Askell Ariel Herbert-Voss ... Miles McCain Alex Newhouse Jason Blazakis Kris McGuffie Jasmine Wang 87 632 0 24 Aug 2019
Natural Adversarial Examples Dan Hendrycks Kevin Zhao Steven Basart Jacob Steinhardt Basel Alomair OODD 223 1,482 0 16 Jul 2019
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features Sangdoo Yun Dongyoon Han Seong Joon Oh Sanghyuk Chun Junsuk Choe Y. Yoo OOD 622 4,802 0 13 May 2019
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison Jeremy Irvin Pranav Rajpurkar M. Ko Yifan Yu Silviana Ciurea-Ilcus ... D. Larson C. Langlotz Bhavik Patel M. Lungren A. Ng 116 2,601 0 21 Jan 2019
FairGAN: Fairness-aware Generative Adversarial Networks Depeng Xu Shuhan Yuan Lu Zhang Xintao Wu GAN 119 315 0 28 May 2018
Datasheets for Datasets Timnit Gebru Jamie Morgenstern Briana Vecchione Jennifer Wortman Vaughan Hanna M. Wallach Hal Daumé Kate Crawford 285 2,195 0 23 Mar 2018
A Kernel Theory of Modern Data Augmentation Tri Dao Albert Gu Alexander J. Ratner Virginia Smith Christopher De Sa Christopher Ré 110 193 0 16 Mar 2018
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks Jonathan Frankle Michael Carbin 263 3,485 0 09 Mar 2018
Snorkel: Rapid Training Data Creation with Weak Supervision Alexander Ratner Stephen H. Bach Henry R. Ehrenberg Jason Alan Fries Sen Wu Christopher Ré 81 1,030 0 28 Nov 2017