Sotabase

Career

· Founder CEO, Summary Analytics Inc. (SMR.AI) (Current)2018–
· Visiting Scientist, U.C. Berkeley, Simons Institute for the Theory of Computing2017–2017
· Visiting Research Scientist, Google2016–2017
· Visiting Professor, Max Planck Institute of Biological Cybernetics2008–2009
· Professor, University of Washington, Seattle (Current)1999–
· Doctor of Philosophy (Ph.D.), Computer Science, University of California, Berkeley1993–1999
· Master's degree, Computer Science, Massachusetts Institute of Technology1991–1993

Publications (394)

Deep Canonical Correlation Analysis
International Conference on Machine Learning · 2013
1,996
cited
On Deep Multi-View Representation Learning
International Conference on Machine Learning · 2015
1,008
cited
A Class of Submodular Functions for Document Summarization
Annual Meeting of the Association for Computational Linguistics · 2011
825
cited
Unsupervised pattern discovery in human chromatin structure through genomic segmentation
Nature Methods · 2012
611
cited
On Mixup Training: Improved Calibration and Predictive Uncertainty for Deep Neural Networks
Neural Information Processing Systems · 2019
589
cited
Optimizing matrix multiply using PHiPAC: a portable, high-performance, ANSI C coding methodology
International Conference on Supercomputing · 1997
505
cited
Coresets for Data-efficient Training of Machine Learning Models
International Conference on Machine Learning · 2019
452
cited
Submodularity in Data Subset Selection and Active Learning
International Conference on Machine Learning · 2015
446
cited
Multi-document Summarization via Budgeted Maximization of Submodular Functions
North American Chapter of the Association for Computational Linguistics · 2010
410
cited
Factored Language Models and Generalized Parallel Backoff
North American Chapter of the Association for Computational Linguistics · 2003
329
cited
Submodular Optimization with Submodular Cover and Submodular Knapsack Constraints
Neural Information Processing Systems · 2013
273
cited
Transmembrane Topology and Signal Peptide Prediction Using Dynamic Bayesian Networks
PLoS Comput. Biol. · 2008
262
cited
MVA Processing of Speech Features
IEEE Transactions on Audio, Speech, and Language Processing · 2007
236
cited
The graphical models toolkit: An open source software system for speech and time-series processing
IEEE International Conference on Acoustics, Speech, and Signal Processing · 2002
220
cited
What HMMs Can Do
IEICE Trans. Inf. Syst. · 2006
220
cited
Submodularity beyond submodular energies: Coupling edges in graph cuts
Computer Vision and Pattern Recognition · 2011
218
cited
Learning Mixtures of Submodular Functions for Image Collection Summarization
Neural Information Processing Systems · 2014
215
cited
Learning Mixtures of Submodular Shells with Application to Document Summarization
Conference on Uncertainty in Artificial Intelligence · 2012
200
cited
Combating Label Noise in Deep Learning Using Abstention
International Conference on Machine Learning · 2019
194
cited
A Submodular-supermodular Procedure with Applications to Discriminative Structure Learning
Conference on Uncertainty in Artificial Intelligence · 2005
176
cited
Sotabase
Jeff Bilmes | Researcher Profile | Sotabase | Sotabase