Search Results for author: Stephen Macke

Found 3 papers, 0 papers with code

Helix: Holistic Optimization for Accelerating Iterative Machine Learning

no code implementations14 Dec 2018 Doris Xin, Stephen Macke, Litian Ma, Jialin Liu, Shuchen Song, Aditya Parameswaran

Machine learning workflow development is a process of trial-and-error: developers iterate on workflows by testing out small modifications until the desired accuracy is achieved.

Helix: Accelerating Human-in-the-loop Machine Learning

no code implementations3 Aug 2018 Doris Xin, Litian Ma, Jialin Liu, Stephen Macke, Shuchen Song, Aditya Parameswaran

Data application developers and data scientists spend an inordinate amount of time iterating on machine learning (ML) workflows -- by modifying the data pre-processing, model training, and post-processing steps -- via trial-and-error to achieve the desired model performance.

Structured Prediction

Entropy-Based Subword Mining with an Application to Word Embeddings

no code implementations WS 2018 Ahmed El-Kishky, Frank Xu, Aston Zhang, Stephen Macke, Jiawei Han

Recent literature has shown a wide variety of benefits to mapping traditional one-hot representations of words and phrases to lower-dimensional real-valued vectors known as word embeddings.

Language Modelling Machine Translation +3

Cannot find the paper you are looking for? You can Submit a new open access paper.