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03/01/2022
Topic Analysis for Text with Side Data
Although latent factor models (e.g., matrix factorization) obtain good p...
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03/01/2022
Tricks and Plugins to GBM on Images and Sequences
Convolutional neural networks (CNNs) and transformers, which are compose...
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07/15/2021
Only Train Once: A One-Shot Neural Network Training And Pruning Framework
Structured pruning is a commonly used technique in deploying deep neural...
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11/10/2020
Neural Network Compression Via Sparse Optimization
The compression of deep neural networks (DNNs) to reduce inference cost ...
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10/17/2020
Deep Learning in the Era of Edge Computing: Challenges and Opportunities
The era of edge computing has arrived. Although the Internet is the back...
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08/31/2019
HM-NAS: Efficient Neural Architecture Search via Hierarchical Masking
The use of automatic methods, often referred to as Neural Architecture S...
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05/22/2019
Convergence Analyses of Online ADAM Algorithm in Convex Setting and Two-Layer ReLU Neural Network
Nowadays, online learning is an appealing learning paradigm, which is of...
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10/23/2018
NestDNN: Resource-Aware Multi-Tenant On-Device Deep Learning for Continuous Mobile Vision
Mobile vision systems such as smartphones, drones, and augmented-reality...
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03/29/2018
A Stochastic Large-scale Machine Learning Algorithm for Distributed Features and Observations
As the size of modern data sets exceeds the disk and memory capacities o...
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02/21/2018