Fast and three-rious: Speeding up weak supervision with triplet methods

D Fu, M Chen, F Sala, S Hooper… - International …, 2020 - proceedings.mlr.press
Weak supervision is a popular method for building machine learning models without relying
on ground truth annotations. Instead, it generates probabilistic training labels by estimating …

Shoring up the foundations: Fusing model embeddings and weak supervision

MF Chen, DY Fu, D Adila, M Zhang… - Uncertainty in …, 2022 - proceedings.mlr.press
Foundation models offer an exciting new paradigm for constructing models with out-of-the-
box embeddings and a few labeled examples. However, it is not clear how to best apply …

Train and you'll miss it: Interactive model iteration with weak supervision and pre-trained embeddings

MF Chen, DY Fu, F Sala, S Wu, RT Mullapudi… - arXiv preprint arXiv …, 2020 - arxiv.org
Our goal is to enable machine learning systems to be trained interactively. This requires
models that perform well and train quickly, without large amounts of hand-labeled data. We …

The AI-Native Software Development Lifecycle: A Theoretical and Practical New Methodology

C Hymel - arXiv preprint arXiv:2408.03416, 2024 - arxiv.org
As AI continues to advance and impact every phase of the software development lifecycle
(SDLC), a need for a new way of building software will emerge. By analyzing the factors that …

The impact of GitHub Copilot on developer productivity from a software engineering body of knowledge perspective

D Smit, H Smuts, P Louw, J Pielmeier, C Eidelloth - 2024 - aisel.aisnet.org
Recent times saw captivating improvements to artificial intelligence-assisted code
completion technology. The precise effect this contributes to conventional software …

[图书][B] Label-Efficient Machine Learning for Medical Image Analysis

SMI Hooper - 2023 - search.proquest.com
Medical imaging is an essential tool in healthcare, and radiologists are highly trained to
detect and characterize disease in medical images. However, relying solely on human …

A Vision on Accelerating Enterprise IT System 2.0

R Singhal, D Chahal, S Kunde, M Mishra… - Proceedings of the …, 2020 - dl.acm.org
The proliferation of commodity based big data platforms and an exponential increase in the
research in machine learning techniques lead to a change in application development …

[PDF][PDF] Shoring Up the Foundations: Fusing Model Embeddings and Weak Supervision (Supplementary material)

MF Chen, DY Fu, D Adila, M Zhang, F Sala… - proceedings.mlr.press
Weak supervision is a broad set of techniques using weak sources of signal to supervise
models, such as distant supervision [Takamatsu et al., 2012], co-training methods [Blum and …

[引用][C] Society 5.0 and the future of work skills for software engineers and developers

S Smuts, H Smuts - 2022 - EasyChair