11 citations · 20 across the 5 of their papers we have counts for
5 papers
Rapid Connectionist Speaker Adaptation
Michael Witbrock, Patrick Haffner
We present SVCnet, a system for modelling speaker variability. Encoder Neural Networks specialized for each speech sound produce low dimensionality models of acoustical variation,…
Deep Clustering with Measure Propagation
Minhua Chen, Badrinath Jayakumar, Padmasundari Gopalakrishnan +3
Deep models have improved state-of-the-art for both supervised and unsupervised learning. For example, deep embedded clustering (DEC) has greatly improved the unsupervised clusteri…
Learning to Adapt by Minimizing Discrepancy
Alexander G. Ororbia, Patrick Haffner, David Reitter +1
We explore whether useful temporal neural generative models can be learned from sequential data without back-propagation through time. We investigate the viability of a more neuroc…
Accelerated Parallel Optimization Methods for Large Scale Machine Learning
Haipeng Luo, Patrick Haffner, Jean-Francois Paiement
The growing amount of high dimensional data in different machine learning applications requires more efficient and scalable optimization algorithms. In this work, we consider combi…
Efficient Multiclass Implementations of L1-Regularized Maximum Entropy
Patrick Haffner, Steven Phillips, Rob Schapire
This paper discusses the application of L1-regularized maximum entropy modeling or SL1-Max [9] to multiclass categorization problems. A new modification to the SL1-Max fast sequent…