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09/02/2022
Future Gradient Descent for Adapting the Temporal Shifting Data Distribution in Online Recommendation Systems
One of the key challenges of learning an online recommendation model is ...
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05/04/2021
Alternate Model Growth and Pruning for Efficient Training of Recommendation Systems
Deep learning recommendation systems at scale have provided remarkable g...
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11/11/2019
Structural Pruning in Deep Neural Networks: A Small-World Approach
Deep Neural Networks (DNNs) are usually over-parameterized, causing exce...
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05/28/2019
Single-Net Continual Learning with Progressive Segmented Training (PST)
There is an increasing need of continual learning in dynamic systems, su...
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05/28/2019
Towards Efficient Neural Networks On-a-chip: Joint Hardware-Algorithm Approaches
Machine learning algorithms have made significant advances in many appli...
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05/27/2019
CGaP: Continuous Growth and Pruning for Efficient Deep Learning
Today a canonical approach to reduce the computation cost of Deep Neural...
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05/27/2019