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11/28/2020
Batch Normalization with Enhanced Linear Transformation
Batch normalization (BN) is a fundamental unit in modern deep networks, ...
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08/04/2020
Weight-Sharing Neural Architecture Search: A Battle to Shrink the Optimization Gap
Neural architecture search (NAS) has attracted increasing attentions in ...
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04/30/2020
TRP: Trained Rank Pruning for Efficient Deep Neural Networks
To enable DNNs on edge devices like mobile phones, low-rank approximatio...
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04/17/2020
Fitting the Search Space of Weight-sharing NAS with Graph Convolutional Networks
Neural architecture search has attracted wide attentions in both academi...
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01/17/2020
Latency-Aware Differentiable Neural Architecture Search
Differentiable neural architecture search methods became popular in auto...
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10/09/2019
Traned Rank Pruning for Efficient Deep Neural Networks
To accelerate DNNs inference, low-rank approximation has been widely ado...
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07/12/2019
PC-DARTS: Partial Channel Connections for Memory-Efficient Differentiable Architecture Search
Differentiable architecture search (DARTS) provided a fast solution in f...
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12/06/2018
Trained Rank Pruning for Efficient Deep Neural Networks
The performance of Deep Neural Networks (DNNs) keeps elevating in recent...
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12/06/2018
DNQ: Dynamic Network Quantization
Network quantization is an effective method for the deployment of neural...
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03/06/2018
