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05/10/2022
Separator-Transducer-Segmenter: Streaming Recognition and Segmentation of Multi-party Speech
Streaming recognition and segmentation of multi-party conversations with...
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12/09/2019
No Representation without Transformation
We propose to extend Latent Variable Models with a simple idea: learn to...
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06/13/2019
Recurrent Neural Processes
We extend Neural Processes (NPs) to sequential data through Recurrent NP...
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06/07/2019
Conditional Neural Style Transfer with Peer-Regularized Feature Transform
This paper introduces a neural style transfer model to conditionally gen...
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04/15/2019
Differentiable Iterative Surface Normal Estimation
This paper presents an end-to-end differentiable algorithm for anisotrop...
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04/19/2018
NAIS-Net: Stable Deep Networks from Non-Autonomous Differential Equations
This paper introduces "Non-Autonomous Input-Output Stable Network" (NAIS...
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12/29/2014
Improving approximate RPCA with a k-sparsity prior
A process centric view of robust PCA (RPCA) allows its fast approximate ...
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11/27/2014
Learning Stochastic Recurrent Networks
Leveraging advances in variational inference, we propose to enhance recu...
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11/04/2013
On Fast Dropout and its Applicability to Recurrent Networks
Recurrent Neural Networks (RNNs) are rich models for the processing of s...
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04/30/2013
Convolutional Neural Networks learn compact local image descriptors
A standard deep convolutional neural network paired with a suitable loss...
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01/14/2013
Unsupervised Feature Learning for low-level Local Image Descriptors
Unsupervised feature learning has shown impressive results for a wide ra...
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09/09/2011
