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08/28/2023
InstructME: An Instruction Guided Music Edit And Remix Framework with Latent Diffusion Models
Music editing primarily entails the modification of instrument tracks or...
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07/25/2021
Multi-Rate Nyquist-SCM for C-Band 100Gbit/s Signal over 50km Dispersion-Uncompensated Link
In this paper, to the best of our knowledge, we propose the first multi-...
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04/10/2021
Practical Two-party Privacy-preserving Neural Network Based on Secret Sharing
Neural networks, with the capability to provide efficient predictive mod...
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12/29/2020
Annotation-Efficient Learning for Medical Image Segmentation based on Noisy Pseudo Labels and Adversarial Learning
Despite that deep learning has achieved state-of-the-art performance for...
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04/21/2020
Adaptive Channel-Matched Detection for C-Band 64-Gbit/s Optical OOK System over 100-km Dispersion-Uncompensated Link
In this paper, we propose adaptive channel-matched detection (ACMD) for ...
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03/23/2020
Robust Medical Instrument Segmentation Challenge 2019
Intraoperative tracking of laparoscopic instruments is often a prerequis...
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05/02/2018
Large-Scale Unsupervised Deep Representation Learning for Brain Structure
Machine Learning (ML) is increasingly being used for computer aided diag...
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10/09/2017
Unifying Local and Global Change Detection in Dynamic Networks
Many real-world networks are complex dynamical systems, where both local...
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01/13/2017
Kernel Approximation Methods for Speech Recognition
We study large-scale kernel methods for acoustic modeling in speech reco...
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03/18/2016
A Comparison between Deep Neural Nets and Kernel Acoustic Models for Speech Recognition
We study large-scale kernel methods for acoustic modeling and compare to...
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11/14/2014
How to Scale Up Kernel Methods to Be As Good As Deep Neural Nets
The computational complexity of kernel methods has often been a major ba...
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11/13/2014