Ulrich Finkler

According to our database1, Ulrich Finkler authored at least 27 papers between 1997 and 2021.

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Bibliography

2021
Asynchronous Decentralized Distributed Training of Acoustic Models.
IEEE ACM Trans. Audio Speech Lang. Process., 2021

Project CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks.
CoRR, 2021

CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

NASTransfer: Analyzing Architecture Transferability in Large Scale Neural Architecture Search.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Distributed Training of Deep Neural Network Acoustic Models for Automatic Speech Recognition: A comparison of current training strategies.
IEEE Signal Process. Mag., 2020

Change Detection from Remote Sensing to Guide OpenStreetMap Labeling.
ISPRS Int. J. Geo Inf., 2020

Large Scale Neural Architecture Search with Polyharmonic Splines.
CoRR, 2020

Distributed Training of Deep Neural Network Acoustic Models for Automatic Speech Recognition.
CoRR, 2020

Map Generation from Large Scale Incomplete and Inaccurate Data Labels.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Improving Efficiency in Large-Scale Decentralized Distributed Training.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
BlueConnect: Decomposing all-reduce for deep learning on heterogeneous network hierarchy.
IBM J. Res. Dev., 2019

BlueConnect: Decomposing All-Reduce for Deep Learning on Heterogeneous Network Hierarchy.
Proceedings of the Second Conference on Machine Learning and Systems, SysML 2019, 2019

A Highly Efficient Distributed Deep Learning System for Automatic Speech Recognition.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

Distributed Deep Learning Strategies for Automatic Speech Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2019

2017
PowerAI DDL.
CoRR, 2017

DYCE: A Resilient Shared Memory Paradigm for Heterogenous Distributed Systems without Memory Coherence.
Proceedings of the Computing Frontiers Conference, 2017

2016
A platform for the next generation of smarter energy applications.
IBM J. Res. Dev., 2016

Graph Analytics for Real-Time Scoring of Cross-Channel Transactional Fraud.
Proceedings of the Financial Cryptography and Data Security, 2016

2015
PARADIS: An Efficient Parallel Algorithm for In-place Radix Sort.
Proc. VLDB Endow., 2015

HAMS: A Memory-Efficient Representation of Power Grids Using Hierarchical and Multi-Scenario Graphs.
Proceedings of the 2015 ACM Sixth International Conference on Future Energy Systems, 2015

2013
To Thread or Not to Thread.
IEEE Des. Test, 2013

2010
An Analytic Framework for Detailed Resource Profiling in Large and Parallel Programs and Its Application for Memory Use.
IEEE Trans. Computers, 2010

2008
Exact basic geometric operations on arbitrary angle polygons using only fixed size integer coordinates.
Proceedings of the 2008 International Conference on Computer-Aided Design, 2008

1999
Checking Priority Queues.
Proceedings of the Tenth Annual ACM-SIAM Symposium on Discrete Algorithms, 1999

1998
A Better Approximation Algorithm for Finding Planar Subgraphs.
J. Algorithms, 1998

1997
Design of efficient and correct algorithms: theoretical results and runtime prediction of implementations in practice.
PhD thesis, 1997

Runtime Prediction of Real Programs on Real Machines.
Proceedings of the Eighth Annual ACM-SIAM Symposium on Discrete Algorithms, 1997


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