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"

28 / 28 papers shown

Title
REMEDI: Relative Feature Enhanced Meta-Learning with Distillation for Imbalanced Prediction Fei Liu Huanhuan Ren Yu Guan Xiuxu Wang Wang Lv Zhiqiang Hu Y. Chen 24 0 0 12 May 2025
Generating Skyline Datasets for Data Science Models Mengying Wang Hanchao Ma Yiyang Bian Yangxin Fan Yinghui Wu 39 0 0 16 Feb 2025
Deepfake Media Forensics: State of the Art and Challenges Ahead Irene Amerini Mauro Barni S. Battiato Paolo Bestagini Giulia Boato ... Davide Salvi Stefano Tubaro Claudia Melis Tonti Massimo Villari D. Vitulano AAML 44 5 0 01 Aug 2024
Seeing the random forest through the decision trees. Supporting learning health systems from histopathology with machine learning models: Challenges and opportunities Ricardo Gonzalez Ashirbani Saha Clinton J.V. Campbell Peyman Nejat Cynthia Lokker Andrew P. Norgan 33 13 0 06 Dec 2023
SoK: Pragmatic Assessment of Machine Learning for Network Intrusion Detection Giovanni Apruzzese P. Laskov J. Schneider 36 24 0 30 Apr 2023
Diffusion Denoised Smoothing for Certified and Adversarial Robust Out-Of-Distribution Detection Nicola Franco Daniel Korth J. Lorenz Karsten Roscher Stephan Guennemann 26 5 0 27 Mar 2023
Efficient Multi-stage Inference on Tabular Data Daniel S Johnson Igor L. Markov 28 0 0 21 Mar 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
MLOps with enhanced performance control and observability Indra Banerjee D. Ghanta Girish Nautiyal Pradeep Sanchana Prateek Katageri Atin Modi 11 2 0 02 Feb 2023
Interpretable models for extrapolation in scientific machine learning Eric S. Muckley J. Saal B. Meredig C. Roper James H. Martin 16 34 0 16 Dec 2022
Desiderata for next generation of ML model serving Sherif Akoush Andrei Paleyes A. V. Looveren Clive Cox 33 5 0 26 Oct 2022
Operationalizing Machine Learning: An Interview Study Shreya Shankar Rolando Garcia J. M. Hellerstein Aditya G. Parameswaran 68 51 0 16 Sep 2022
ALDI++: Automatic and parameter-less discord and outlier detection for building energy load profiles Matias Quintana Till Stoeckmann J. Park Marian Turowski V. Hagenmeyer Clayton Miller 19 5 0 13 Mar 2022
Reinforcement Learning in Practice: Opportunities and Challenges Yuxi Li OffRL 34 9 0 23 Feb 2022
Security for Machine Learning-based Software Systems: a survey of threats, practices and challenges Huaming Chen Muhammad Ali Babar AAML 29 21 0 12 Jan 2022
The Efficiency Misnomer Daoyuan Chen Liuyi Yao Dawei Gao Ashish Vaswani Yaliang Li 32 98 0 25 Oct 2021
We Need to Talk About Data: The Importance of Data Readiness in Natural Language Processing Fredrik Olsson Magnus Sahlgren 19 1 0 11 Oct 2021
Neural forecasting at scale Philippe Chatigny Shengrui Wang Jean-Marc Patenaude and Boris N. Oreshkin AI4TS 25 1 0 20 Sep 2021
SensiX++: Bringing MLOPs and Multi-tenant Model Serving to Sensory Edge Devices Chulhong Min Akhil Mathur Utku Günay Acer A. Montanari F. Kawsar 18 11 0 08 Sep 2021
Generatively Augmented Neural Network Watchdog for Image Classification Networks Justin Bui Glauco A. Amigo R. Marks 26 0 0 07 Sep 2021
Towards better data discovery and collection with flow-based programming Andrei Paleyes Christian Cabrera Neil D. Lawrence 26 6 0 09 Aug 2021
Test for non-negligible adverse shifts Vathy M. Kamulete 15 3 0 07 Jul 2021
Using AntiPatterns to avoid MLOps Mistakes Nikhil Muralidhar Sathappah Muthiah P. Butler Manish Jain Yu Yu ... Weipeng Li David Jones P. Arunachalam Hays Mccormick Naren Ramakrishnan 9 17 0 30 Jun 2021
Quality Assurance Challenges for Machine Learning Software Applications During Software Development Life Cycle Phases Md. Abdullah Al Alamin Gias Uddin 29 11 0 03 May 2021
BERTaú: Itaú BERT for digital customer service Paulo Finardi José Dié Viegas Gustavo T. Ferreira Alex F. Mansano Vinicius Fernandes Caridá 22 11 0 28 Jan 2021
Fairness in Machine Learning L. Oneto Silvia Chiappa FaML 251 488 0 31 Dec 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 317 11,681 0 09 Mar 2017
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 261 3,109 0 04 Nov 2016