Challenges in Deploying Machine Learning: a Survey of Case Studies

18 November 2020

Papers citing "Challenges in Deploying Machine Learning: a Survey of Case Studies"

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Title
Towards better data discovery and collection with flow-based programming Andrei Paleyes Christian Cabrera Neil D. Lawrence 42 6 0 09 Aug 2021
"Brilliant AI Doctor" in Rural China: Tensions and Challenges in AI-Powered CDSS Deployment Dakuo Wang Liuping Wang Zhan Zhang Ding Wang Haiyi Zhu Yvonne Gao Xiangmin Fan Feng Tian 77 144 0 04 Jan 2021
Fairness in Machine Learning L. Oneto Silvia Chiappa FaML 277 494 0 31 Dec 2020
Denoising Multi-Source Weak Supervision for Neural Text Classification Wendi Ren Yinghao Li Hanting Su David Kartchner Cassie S. Mitchell Chao Zhang NoLa 63 70 0 09 Oct 2020
An Empirical Analysis of Backward Compatibility in Machine Learning Systems Megha Srivastava Besmira Nushi Ece Kamar S. Shah Eric Horvitz AAML 68 46 0 11 Aug 2020
On Hyperparameter Optimization of Machine Learning Algorithms: Theory and Practice Li Yang Abdallah Shami AI4CE 137 2,092 0 30 Jul 2020
Monitoring and explainability of models in production Janis Klaise A. V. Looveren Clive Cox G. Vacanti Alexandru Coca 70 49 0 13 Jul 2020
Technology Readiness Levels for AI & ML Alexander Lavin Ajay Sharma VLM 48 109 0 21 Jun 2020
Adaptation Strategies for Automated Machine Learning on Evolving Data B. Celik Joaquin Vanschoren 50 55 0 09 Jun 2020
Beyond Accuracy: Behavioral Testing of NLP models with CheckList Marco Tulio Ribeiro Tongshuang Wu Carlos Guestrin Sameer Singh ELM 167 1,100 0 08 May 2020
The Cost of Training NLP Models: A Concise Overview Or Sharir Barak Peleg Y. Shoham 81 211 0 19 Apr 2020
Adversarial Machine Learning -- Industry Perspectives Ramnath Kumar Magnus Nyström J. Lambert Andrew Marshall Mario Goertzel Andi Comissoneru Matt Swann Sharon Xia AAML SILM 74 235 0 04 Feb 2020
Bridging the gap between AI and Healthcare sides: towards developing clinically relevant AI-powered diagnosis systems Changhee Han L. Rundo K. Murao T. Nemoto Hideki Nakayama MedIm 57 27 0 12 Jan 2020
A Survey of Deep Learning Applications to Autonomous Vehicle Control Sampo Kuutti Richard Bowden Yaochu Jin P. Barber Saber Fallah 85 516 0 23 Dec 2019
Taking Ethics, Fairness, and Bias Seriously in Machine Learning for Disaster Risk Management R. Soden D. Wagenaar Dave Luo A. Tijssen FaML 25 8 0 10 Dec 2019
Failure Modes in Machine Learning Systems Ramnath Kumar David R. O'Brien Kendra Albert Salomé Viljöen Jeffrey Snover AAML 28 50 0 25 Nov 2019
"The Human Body is a Black Box": Supporting Clinical Decision-Making with Deep Learning M. Sendak M. C. Elish M. Gao Joseph D. Futoma W. Ratliff M. Nichols A. Bedoya S. Balu Cara O'Brien HAI 33 168 0 19 Nov 2019
When Machine Learning Meets Wireless Cellular Networks: Deployment, Challenges, and Applications Ursula Challita Henrik Rydén H. Tullberg 39 68 0 08 Nov 2019
Confident Learning: Estimating Uncertainty in Dataset Labels Curtis G. Northcutt Lu Jiang Isaac L. Chuang NoLa 110 687 0 31 Oct 2019
A Survey on Active Learning and Human-in-the-Loop Deep Learning for Medical Image Analysis Samuel Budd E. C. Robinson Bernhard Kainz LM&MA 52 477 0 07 Oct 2019
Crowdsourcing real-time viral disease and pest information. A case of nation-wide cassava disease surveillance in a developing country Daniel Mutembesa C. Omongo Ernest Mwebaze 25 17 0 09 Aug 2019
Learning a Unified Embedding for Visual Search at Pinterest Andrew Zhai Hao-Yu Wu Eric Tzeng Dong Huk Park Charles R. Rosenberg DML 54 52 0 05 Aug 2019
Understanding artificial intelligence ethics and safety David Leslie FaML AI4TS 45 356 0 11 Jun 2019
Energy and Policy Considerations for Deep Learning in NLP Emma Strubell Ananya Ganesh Andrew McCallum 62 2,647 0 05 Jun 2019
Automatic Discovery of Privacy-Utility Pareto Fronts Brendan Avent Javier I. González Tom Diethe Andrei Paleyes Borja Balle FedML 41 28 0 26 May 2019
Assuring the Machine Learning Lifecycle: Desiderata, Methods, and Challenges Rob Ashmore R. Calinescu Colin Paterson AI4TS 56 116 0 10 May 2019
Challenges of Real-World Reinforcement Learning Gabriel Dulac-Arnold D. Mankowitz Todd Hester OffRL 77 545 0 29 Apr 2019
Continual Learning in Practice Tom Diethe Tom Borchert Eno Thereska Borja Balle Neil D. Lawrence CLL 31 75 0 12 Mar 2019
Snorkel DryBell: A Case Study in Deploying Weak Supervision at Industrial Scale Stephen H. Bach Daniel Rodríguez Yintao Liu Chong Luo Haidong Shao ... Braden Hancock H. Alborzi Rahul Kuchhal Christopher Ré Rob Malkin 58 145 0 02 Dec 2018
Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift Stephan Rabanser Stephan Günnemann Zachary Chase Lipton 54 363 0 29 Oct 2018
Applying Deep Learning To Airbnb Search Malay Haldar Mustafa Abdool Prashant Ramanathan Tao Xu Shulin Yang ... Qing Zhang Nick Barrow-Williams B. Turnbull Brendan M. Collins Thomas Legrand DML 40 85 0 22 Oct 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.3K 94,511 0 11 Oct 2018
Model Cards for Model Reporting Margaret Mitchell Simone Wu Andrew Zaldivar Parker Barnes Lucy Vasserman Ben Hutchinson Elena Spitzer Inioluwa Deborah Raji Timnit Gebru 113 1,886 0 05 Oct 2018
Hardware-Aware Machine Learning: Modeling and Optimization Diana Marculescu Dimitrios Stamoulis E. Cai 49 45 0 14 Sep 2018
Assessing Gender Bias in Machine Translation -- A Case Study with Google Translate Marcelo O. R. Prates Pedro H. C. Avelar Luís C. Lamb 55 346 0 06 Sep 2018
Algorithms that Remember: Model Inversion Attacks and Data Protection Law Michael Veale Reuben Binns L. Edwards 46 194 0 12 Jul 2018
Auto-Keras: An Efficient Neural Architecture Search System Haifeng Jin Qingquan Song Xia Hu 87 805 0 27 Jun 2018
Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning Matthew Jagielski Alina Oprea Battista Biggio Chang-rui Liu Cristina Nita-Rotaru Yue Liu AAML 85 757 0 01 Apr 2018
Datasheets for Datasets Timnit Gebru Jamie Morgenstern Briana Vecchione Jennifer Wortman Vaughan Hanna M. Wallach Hal Daumé Kate Crawford 238 2,171 0 23 Mar 2018
Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning Battista Biggio Fabio Roli AAML 92 1,407 0 08 Dec 2017
Weakly-supervised learning of visual relations Julia Peyre Ivan Laptev Cordelia Schmid Josef Sivic 48 194 0 29 Jul 2017
Data Readiness Levels Neil D. Lawrence 41 40 0 05 May 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 798 11,866 0 09 Mar 2017
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 458 3,138 0 04 Nov 2016
Membership Inference Attacks against Machine Learning Models Reza Shokri M. Stronati Congzheng Song Vitaly Shmatikov SLR MIALM MIACV 226 4,103 0 18 Oct 2016
Stealing Machine Learning Models via Prediction APIs Florian Tramèr Fan Zhang Ari Juels Michael K. Reiter Thomas Ristenpart SILM MLAU 97 1,801 0 09 Sep 2016
Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization Lisha Li Kevin Jamieson Giulia DeSalvo Afshin Rostamizadeh Ameet Talwalkar 197 2,320 0 21 Mar 2016
Federated Optimization:Distributed Optimization Beyond the Datacenter Jakub Konecný H. B. McMahan Daniel Ramage FedML 113 735 0 11 Nov 2015
Unbounded Bayesian Optimization via Regularization Bobak Shahriari Alexandre Bouchard-Côté Nando de Freitas BDL 29 69 0 14 Aug 2015
Practical Bayesian Optimization of Machine Learning Algorithms Jasper Snoek Hugo Larochelle Ryan P. Adams 315 7,923 0 13 Jun 2012