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01/26/2022
A two-step backward compatible fullband speech enhancement system
Speech enhancement methods based on deep learning have surpassed traditi...
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08/06/2021
Computing solution landscape of nonlinear space-fractional problems via fast approximation algorithm
The nonlinear space-fractional problems often allow multiple stationary ...
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06/14/2020
Classify and Generate Reciprocally: Simultaneous Positive-Unlabelled Learning and Conditional Generation with Extra Data
The scarcity of class-labeled data is a ubiquitous bottleneck in a wide ...
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11/21/2019
Patch-level Neighborhood Interpolation: A General and Effective Graph-based Regularization Strategy
Regularization plays a crucial role in machine learning models, especial...
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11/06/2019
MLPerf Inference Benchmark
Machine-learning (ML) hardware and software system demand is burgeoning....
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05/24/2019
On the Learning Dynamics of Two-layer Nonlinear Convolutional Neural Networks
Convolutional neural networks (CNNs) have achieved remarkable performanc...
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03/13/2019
ST-UNet: A Spatio-Temporal U-Network for Graph-structured Time Series Modeling
The spatio-temporal graph learning is becoming an increasingly important...
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03/03/2019
3D Graph Convolutional Networks with Temporal Graphs: A Spatial Information Free Framework For Traffic Forecasting
Spatio-temporal prediction plays an important role in many application a...
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08/18/2018
Tangent-Normal Adversarial Regularization for Semi-supervised Learning
The ever-increasing size of modern datasets combined with the difficulty...
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03/01/2018
The Regularization Effects of Anisotropic Noise in Stochastic Gradient Descent
Understanding the generalization of deep learning has raised lots of con...
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02/21/2018
Load Balanced GANs for Multi-view Face Image Synthesis
Multi-view face synthesis from a single image is an ill-posed problem an...
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09/30/2017
The Deep Ritz method: A deep learning-based numerical algorithm for solving variational problems
We propose a deep learning based method, the Deep Ritz Method, for numer...
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09/14/2017