Learning explainable linguistic expressions with neural inductive logic programming for sentence classification
- Prithviraj Sen
- Marina Danilevsky
- et al.
- 2020
- EMNLP 2020
Publications
Date
Featured collections
Popular topics
17 results for Matthias Boehm
MNC: Structure-exploiting sparsity estimation for matrix expressions
- Johanna Sommer
- Matthias Boehm
- et al.
- 2019
- SIGMOD 2019
Efficient data-parallel cumulative aggregates for large-scale machine learning
- Matthias Boehm
- Alexandre V. Evfimievski
- et al.
- 2019
- BTW/DBIS 2019
Compressed linear algebra for declarative large-scale machine learning
- Ahmed Elgohary
- Matthias Boehm
- et al.
- 2019
- CACM
On optimizing operator fusion plans for largeScale Machine Learning in System ML
- Matthias Boehm
- Berthold Reinwald
- et al.
- 2018
- VLDB
Compressed linear algebra for large-scale machine learning
- Ahmed Elgohary
- Matthias Boehm
- et al.
- 2017
- VLDB Journal
Scaling machine learning via compressed linear algebra
- Ahmed Elgohary
- Matthias Boehm
- et al.
- 2017
- SIGMOD Record
Data management in machine learning: Challenges, techniques, and systems
- Arun Kumar
- Matthias Boehm
- et al.
- 2017
- SIGMOD 2017
SPOOF: Sum-product optimization and operator fusion for large-scale machine learning
- Tarek Elgamal
- Shangyu Luo
- et al.
- 2017
- CIDR 2017
Compressed linear algebra for largescale machine learning
- Ahmed Elgohary
- Matthias Boehm
- et al.
- 2016
- VLDB 2016