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07/25/2023
DBGSA: A Novel Data Adaptive Bregman Clustering Algorithm
With the development of Big data technology, data analysis has become in...
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06/26/2023
Iterative-in-Iterative Super-Resolution Biomedical Imaging Using One Real Image
Deep learning-based super-resolution models have the potential to revolu...
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05/23/2023
FITNESS: A Causal De-correlation Approach for Mitigating Bias in Machine Learning Software
Software built on top of machine learning algorithms is becoming increas...
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03/18/2023
Report of the Medical Image De-Identification (MIDI) Task Group – Best Practices and Recommendations
This report addresses the technical aspects of de-identification of medi...
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05/12/2022
kNN-Embed: Locally Smoothed Embedding Mixtures For Multi-interest Candidate Retrieval
Candidate generation is the first stage in recommendation systems, where...
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08/24/2019
Towards Unconstrained End-to-End Text Spotting
We propose an end-to-end trainable network that can simultaneously detec...
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01/29/2019
An Investigation into Neural Net Optimization via Hessian Eigenvalue Density
To understand the dynamics of optimization in deep neural networks, we d...
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01/05/2019
Deep Convolutional Neural Networks for Imaging Data Based Survival Analysis of Rectal Cancer
Recent radiomic studies have witnessed promising performance of deep lea...
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03/24/2018
Towards End-to-End Prosody Transfer for Expressive Speech Synthesis with Tacotron
We present an extension to the Tacotron speech synthesis architecture th...
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03/23/2018
Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis
In this work, we propose "global style tokens" (GSTs), a bank of embeddi...
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12/08/2017
Neumann Optimizer: A Practical Optimization Algorithm for Deep Neural Networks
Progress in deep learning is slowed by the days or weeks it takes to tra...
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11/01/2017
Uncovering Latent Style Factors for Expressive Speech Synthesis
Prosodic modeling is a core problem in speech synthesis. The key challen...
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03/29/2017
Tacotron: Towards End-to-End Speech Synthesis
A text-to-speech synthesis system typically consists of multiple stages,...
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12/09/2014
Max vs Min: Tensor Decomposition and ICA with nearly Linear Sample Complexity
We present a simple, general technique for reducing the sample complexit...
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12/17/2013
Compact Random Feature Maps
Kernel approximation using randomized feature maps has recently gained a...
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06/25/2013
