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03/13/2023
Guided Speech Enhancement Network
High quality speech capture has been widely studied for both voice commu...
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02/20/2023
Differentiable Bootstrap Particle Filters for Regime-Switching Models
Differentiable particle filters are an emerging class of particle filter...
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02/19/2023
An overview of differentiable particle filters for data-adaptive sequential Bayesian inference
By approximating posterior distributions with weighted samples, particle...
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11/01/2022
FADO: Feedback-Aware Double COntrolling Network for Emotional Support Conversation
Emotional Support Conversation (ESConv) aims to reduce help-seekers'emot...
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10/14/2022
Psychology-guided Controllable Story Generation
Controllable story generation is a challenging task in the field of NLP,...
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06/26/2022
Batch-Ensemble Stochastic Neural Networks for Out-of-Distribution Detection
Out-of-distribution (OOD) detection has recently received much attention...
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04/27/2022
Control Globally, Understand Locally: A Global-to-Local Hierarchical Graph Network for Emotional Support Conversation
Emotional support conversation aims at reducing the emotional distress o...
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03/16/2022
Conditional Measurement Density Estimation in Sequential Monte Carlo via Normalizing Flow
Tuning of measurement models is challenging in real-world applications o...
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03/01/2022
Real time spectrogram inversion on mobile phone
With the growth of computing power on mobile phones and privacy concerns...
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02/18/2022
CLSEG: Contrastive Learning of Story Ending Generation
Story Ending Generation (SEG) is a challenging task in natural language ...
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12/12/2021
Boosting Independent Component Analysis
Independent component analysis is intended to recover the unknown compon...
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11/30/2021
Second-order Approximation of Minimum Discrimination Information in Independent Component Analysis
Independent Component Analysis (ICA) is intended to recover the mutually...
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10/14/2021
HumBugDB: A Large-scale Acoustic Mosquito Dataset
This paper presents the first large-scale multi-species dataset of acous...
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07/24/2021
Modifications of FastICA in Convolutive Blind Source Separation
Convolutive blind source separation (BSS) is intended to recover the unk...
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07/01/2021
Differentiable Particle Filters through Conditional Normalizing Flow
Differentiable particle filters provide a flexible mechanism to adaptive...
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05/18/2021
Towards Unsupervised Sketch-based Image Retrieval
Current supervised sketch-based image retrieval (SBIR) methods achieve e...
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01/21/2021
Boosting in Univariate Nonparametric Maximum Likelihood Estimation
Nonparametric maximum likelihood estimation is intended to infer the unk...
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11/11/2020
End-To-End Semi-supervised Learning for Differentiable Particle Filters
Recent advances in incorporating neural networks into particle filters p...
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10/21/2020
Real-time Speech Frequency Bandwidth Extension
In this paper we propose a lightweight model for frequency bandwidth ext...
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10/19/2020
MicAugment: One-shot Microphone Style Transfer
A crucial aspect for the successful deployment of audio-based models "in...
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09/04/2020
SEANet: A Multi-modal Speech Enhancement Network
We explore the possibility of leveraging accelerometer data to perform s...
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08/20/2020
Imitation Learning with Sinkhorn Distances
Imitation learning algorithms have been interpreted as variants of diver...
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08/05/2020
Learning to Denoise Historical Music
We propose an audio-to-audio neural network model that learns to denoise...
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06/15/2020
Augmented Sliced Wasserstein Distances
While theoretically appealing, the application of the Wasserstein distan...
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05/24/2019
From Here to There: Video Inbetweening Using Direct 3D Convolutions
We consider the problem of generating plausible and diverse video sequen...
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12/19/2018
An Empirical Study of Generative Models with Encoders
Generative adversarial networks (GANs) are capable of producing high qua...
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12/03/2018
Recommending Paths: Follow or Not Follow?
Mobile social network applications constitute an important platform for ...
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11/29/2018
BCCNet: Bayesian classifier combination neural network
Machine learning research for developing countries can demonstrate clear...
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07/06/2018
Invertible Particle Flow-based Sequential MCMC with extension to Gaussian Mixture noise models
Sequential state estimation in non-linear and non-Gaussian state spaces ...
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05/24/2018
Optimal pricing for a peer-to-peer sharing platform under network externalities
In this paper, we analyse how a peer-to-peer sharing platform should pri...
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12/07/2017
Cost-sensitive detection with variational autoencoders for environmental acoustic sensing
Environmental acoustic sensing involves the retrieval and processing of ...
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11/16/2017
Mosquito detection with low-cost smartphones: data acquisition for malaria research
Mosquitoes are a major vector for malaria, causing hundreds of thousands...
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02/24/2017
Microwave breast cancer detection using Empirical Mode Decomposition features
Microwave-based breast cancer detection has been proposed as a complemen...
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03/20/2014
Defuzzify firstly or finally: Dose it matter in fuzzy DEMATEL under uncertain environment?
Decision-Making Trial and Evaluation Laboratory (DEMATEL) method is wide...
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11/23/2013