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03/10/2023
Moving Fast With Broken Data
Machine learning (ML) models in production pipelines are frequently retr...
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09/16/2022
Operationalizing Machine Learning: An Interview Study
Organizations rely on machine learning engineers (MLEs) to operationaliz...
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05/23/2022
Rethinking Streaming Machine Learning Evaluation
While most work on evaluating machine learning (ML) models focuses on co...
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08/31/2021
Towards Observability for Machine Learning Pipelines
Software organizations are increasingly incorporating machine learning (...
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10/22/2020
Enabling certification of verification-agnostic networks via memory-efficient semidefinite programming
Convex relaxations have emerged as a promising approach for verifying de...
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02/11/2020
Optimal Transfer Learning Model for Binary Classification of Funduscopic Images through Simple Heuristics
Deep learning models have the capacity to fundamentally revolutionize me...
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02/22/2018
Adversarial Examples that Fool both Human and Computer Vision
Machine learning models are vulnerable to adversarial examples: small ch...
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11/22/2017
