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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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04/07/2020
Orthant Based Proximal Stochastic Gradient Method for ℓ_1-Regularized Optimization
Sparsity-inducing regularization problems are ubiquitous in machine lear...
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03/10/2020
Realizing Pixel-Level Semantic Learning in Complex Driving Scenes based on Only One Annotated Pixel per Class
Semantic segmentation tasks based on weakly supervised condition have be...
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11/26/2019
WSOD with PSNet and Box Regression
Weakly supervised object detection(WSOD) task uses only image-level anno...
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07/29/2011
