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2305.02474
Cited By
MLHOps: Machine Learning for Healthcare Operations
4 May 2023
Kristoffer Larsen
Vallijah Subasri
A. Krishnan
Cláudio Tinoco Mesquita
Diana Paez
Laleh Seyyed-Kalantari
Amalia Peix
LM&MA
AI4TS
VLM
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Papers citing
"MLHOps: Machine Learning for Healthcare Operations"
50 / 74 papers shown
Title
Clairvoyance: A Pipeline Toolkit for Medical Time Series
Daniel Jarrett
Jinsung Yoon
Ioana Bica
Zhaozhi Qian
A. Ercole
M. Schaar
AI4TS
48
36
0
28 Oct 2023
Change is Hard: A Closer Look at Subpopulation Shift
Yuzhe Yang
Haoran Zhang
Dina Katabi
Marzyeh Ghassemi
OOD
51
105
0
23 Feb 2023
Development and Validation of ML-DQA -- a Machine Learning Data Quality Assurance Framework for Healthcare
M. Sendak
Gaurav Sirdeshmukh
Timothy N. Ochoa
Hayley Premo
Linda Tang
...
M. Nichols
Bradley Heintze
William S Knechtle
W. Ratliff
S. Balu
37
6
0
04 Aug 2022
Memory-Based Model Editing at Scale
E. Mitchell
Charles Lin
Antoine Bosselut
Christopher D. Manning
Chelsea Finn
KELM
92
350
0
13 Jun 2022
The Road to Explainability is Paved with Bias: Measuring the Fairness of Explanations
Aparna Balagopalan
Haoran Zhang
Kimia Hamidieh
Thomas Hartvigsen
Frank Rudzicz
Marzyeh Ghassemi
62
78
0
06 May 2022
Machine Learning Operations (MLOps): Overview, Definition, and Architecture
Dominik Kreuzberger
Niklas Kühl
Sebastian Hirschl
VLM
AI4CE
33
347
0
04 May 2022
A Survey of Neural Trojan Attacks and Defenses in Deep Learning
Jie Wang
Ghulam Mubashar Hassan
Naveed Akhtar
AAML
61
25
0
15 Feb 2022
CheXstray: Real-time Multi-Modal Data Concordance for Drift Detection in Medical Imaging AI
Arjun Soin
J. Merkow
Jin Long
Joseph Paul Cohen
Smitha Saligrama
Stephen Kaiser
Steven Borg
Ivan Tarapov
M. Lungren
OOD
80
16
0
06 Feb 2022
MLOps -- Definitions, Tools and Challenges
Georgios Symeonidis
Evangelos Nerantzis
A. Kazakis
G. Papakostas
54
92
0
01 Jan 2022
Mind the Performance Gap: Examining Dataset Shift During Prospective Validation
Erkin Ötleş
Jeeheh Oh
Benjamin Li
Michelle Bochinski
Hyeon Joo
...
E. Shenoy
L. Washer
V. Young
Krishna Rao
Jenna Wiens
OOD
38
15
0
23 Jul 2021
Reading Race: AI Recognises Patient's Racial Identity In Medical Images
Imon Banerjee
A. Bhimireddy
J. L. Burns
Leo Anthony Celi
Li-Ching Chen
...
Hari M. Trivedi
Ryan Wang
Z. Zaiman
Haoran Zhang
J. Gichoya
63
335
0
21 Jul 2021
Just Train Twice: Improving Group Robustness without Training Group Information
Emmy Liu
Behzad Haghgoo
Annie S. Chen
Aditi Raghunathan
Pang Wei Koh
Shiori Sagawa
Percy Liang
Chelsea Finn
OOD
84
559
0
19 Jul 2021
BEDS-Bench: Behavior of EHR-models under Distributional Shift--A Benchmark
Anand Avati
Martin G. Seneviratne
Emily Xue
Zhen Xu
Balaji Lakshminarayanan
Andrew M. Dai
OOD
CML
52
8
0
17 Jul 2021
Trustworthy AI: A Computational Perspective
Haochen Liu
Yiqi Wang
Wenqi Fan
Xiaorui Liu
Yaxin Li
Shaili Jain
Yunhao Liu
Anil K. Jain
Jiliang Tang
FaML
145
206
0
12 Jul 2021
Continual Learning in the Teacher-Student Setup: Impact of Task Similarity
Sebastian Lee
Sebastian Goldt
Andrew M. Saxe
CLL
62
74
0
09 Jul 2021
A Simple Fix to Mahalanobis Distance for Improving Near-OOD Detection
Jie Jessie Ren
Stanislav Fort
J. Liu
Abhijit Guha Roy
Shreyas Padhy
Balaji Lakshminarayanan
UQCV
170
224
0
16 Jun 2021
Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data
Feng Liu
Wenkai Xu
Jie Lu
Danica J. Sutherland
64
22
0
14 Jun 2021
MLDemon: Deployment Monitoring for Machine Learning Systems
Antonio A. Ginart
Martin Jinye Zhang
James Zou
70
19
0
28 Apr 2021
Property Inference Attacks on Convolutional Neural Networks: Influence and Implications of Target Model's Complexity
Mathias Parisot
Balázs Pejó
Dayana Spagnuelo
MIACV
112
33
0
27 Apr 2021
A Review of Anonymization for Healthcare Data
Iyiola E. Olatunji
Jens Rauch
Matthias Katzensteiner
Megha Khosla
35
65
0
13 Apr 2021
Avalanche: an End-to-End Library for Continual Learning
Vincenzo Lomonaco
Lorenzo Pellegrini
Andrea Cossu
Antonio Carta
G. Graffieti
...
Christopher Kanan
Joost van de Weijer
Tinne Tuytelaars
D. Bacciu
Davide Maltoni
BDL
AI4TS
82
183
0
01 Apr 2021
Interpretable Deep Learning: Interpretation, Interpretability, Trustworthiness, and Beyond
Xuhong Li
Haoyi Xiong
Xingjian Li
Xuanyu Wu
Xiao Zhang
Ji Liu
Jiang Bian
Dejing Dou
AAML
FaML
XAI
HAI
59
331
0
19 Mar 2021
Membership Inference Attacks on Machine Learning: A Survey
Hongsheng Hu
Z. Salcic
Lichao Sun
Gillian Dobbie
Philip S. Yu
Xuyun Zhang
MIACV
109
434
0
14 Mar 2021
Towards Learning an Unbiased Classifier from Biased Data via Conditional Adversarial Debiasing
Christian Reimers
P. Bodesheim
Jakob Runge
Joachim Denzler
FaML
CML
16
6
0
10 Mar 2021
Teach Me to Explain: A Review of Datasets for Explainable Natural Language Processing
Sarah Wiegreffe
Ana Marasović
XAI
53
145
0
24 Feb 2021
Domain Adaptation for Medical Image Analysis: A Survey
Hao Guan
Mingxia Liu
OOD
120
551
0
18 Feb 2021
A Data Quality-Driven View of MLOps
Cédric Renggli
Luka Rimanic
Nezihe Merve Gürel
Bojan Karlavs
Wentao Wu
Ce Zhang
AI4TS
39
65
0
15 Feb 2021
Interpretability and Explainability: A Machine Learning Zoo Mini-tour
Ricards Marcinkevics
Julia E. Vogt
XAI
67
120
0
03 Dec 2020
Challenges in Deploying Machine Learning: a Survey of Case Studies
Andrei Paleyes
Raoul-Gabriel Urma
Neil D. Lawrence
59
400
0
18 Nov 2020
Exploring Gender Disparities in Time to Diagnosis
Tony Y. Sun
IV OliverJ.BearDon'tWalk
Jennifer L. Chen
H. R. Nieva
Noémie Elhadad
30
6
0
11 Nov 2020
Model updating after interventions paradoxically introduces bias
J. Liley
S. Emerson
Bilal A. Mateen
Catalina A Vallejos
L. Aslett
Sebastian J. Vollmer
58
22
0
22 Oct 2020
Ethical Machine Learning in Health Care
Irene Y. Chen
Emma Pierson
Sherri Rose
Shalmali Joshi
Kadija Ferryman
Marzyeh Ghassemi
AILaw
61
386
0
22 Sep 2020
Improving robustness against common corruptions by covariate shift adaptation
Steffen Schneider
E. Rusak
L. Eck
Oliver Bringmann
Wieland Brendel
Matthias Bethge
VLM
92
480
0
30 Jun 2020
Fairness without Demographics through Adversarially Reweighted Learning
Preethi Lahoti
Alex Beutel
Jilin Chen
Kang Lee
Flavien Prost
Nithum Thain
Xuezhi Wang
Ed H. Chi
FaML
111
335
0
23 Jun 2020
Consistent Estimators for Learning to Defer to an Expert
Hussein Mozannar
David Sontag
49
202
0
02 Jun 2020
A Survey on Security and Privacy Issues in Modern Healthcare Systems: Attacks and Defenses
Akm Iqtidar Newaz
A. Sikder
Mohammad Ashiqur Rahman
A. S. Uluagac
70
176
0
15 May 2020
Learning under Concept Drift: A Review
Jie Lu
Anjin Liu
Fan Dong
Feng Gu
João Gama
Guangquan Zhang
AI4TS
59
1,279
0
13 Apr 2020
A Unified View of Label Shift Estimation
Saurabh Garg
Yifan Wu
Sivaraman Balakrishnan
Zachary Chase Lipton
58
143
0
17 Mar 2020
Hurtful Words: Quantifying Biases in Clinical Contextual Word Embeddings
H. Zhang
Amy X. Lu
Mohamed Abdalla
Matthew B. A. McDermott
Marzyeh Ghassemi
55
174
0
11 Mar 2020
Interpretability of machine learning based prediction models in healthcare
Gregor Stiglic
Primož Kocbek
Nino Fijačko
Marinka Zitnik
K. Verbert
Leona Cilar
AI4CE
60
383
0
20 Feb 2020
CheXclusion: Fairness gaps in deep chest X-ray classifiers
Laleh Seyyed-Kalantari
Guanxiong Liu
Matthew B. A. McDermott
Irene Y. Chen
Marzyeh Ghassemi
OOD
83
291
0
14 Feb 2020
Secure and Robust Machine Learning for Healthcare: A Survey
A. Qayyum
Junaid Qadir
Muhammad Bilal
Ala I. Al-Fuqaha
AAML
OOD
76
385
0
21 Jan 2020
Continual Learning for Domain Adaptation in Chest X-ray Classification
Matthias Lenga
H. Schulz
A. Saalbach
OOD
55
61
0
16 Jan 2020
Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization
Shiori Sagawa
Pang Wei Koh
Tatsunori B. Hashimoto
Percy Liang
OOD
93
1,237
0
20 Nov 2019
Certified Data Removal from Machine Learning Models
Chuan Guo
Tom Goldstein
Awni Y. Hannun
Laurens van der Maaten
MU
90
443
0
08 Nov 2019
Mixout: Effective Regularization to Finetune Large-scale Pretrained Language Models
Cheolhyoung Lee
Kyunghyun Cho
Wanmo Kang
MoE
271
208
0
25 Sep 2019
AutoML: A Survey of the State-of-the-Art
Xin He
Kaiyong Zhao
Xiaowen Chu
112
1,457
0
02 Aug 2019
FairSight: Visual Analytics for Fairness in Decision Making
Yongsu Ahn
Y. Lin
46
122
0
01 Aug 2019
MIMIC-Extract: A Data Extraction, Preprocessing, and Representation Pipeline for MIMIC-III
Shirly Wang
Matthew B. A. McDermott
Geeticka Chauhan
Michael C. Hughes
Tristan Naumann
Marzyeh Ghassemi
65
209
0
19 Jul 2019
A Survey on Explainable Artificial Intelligence (XAI): Towards Medical XAI
Erico Tjoa
Cuntai Guan
XAI
92
1,446
0
17 Jul 2019
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