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Found 6 papers, 2 papers with code
Zero-Space Cost Fault Tolerance for Transformer-based Language Models on ReRAM
Resistive Random Access Memory (ReRAM) has emerged as a promising platform for deep neural networks (DNNs) due to its support for parallel in-situ matrix-vector multiplication.
AutoReP: Automatic ReLU Replacement for Fast Private Network Inference
The growth of the Machine-Learning-As-A-Service (MLaaS) market has highlighted clients' data privacy and security issues.
Deep Learning Based Page Creation for Improving E-Commerce Organic Search Traffic
Organic search comprises a large portion of the total traffic for e-commerce companies.
An Efficient Group-based Search Engine Marketing System for E-Commerce
With the increasing scale of search engine marketing, designing an efficient bidding system is becoming paramount for the success of e-commerce companies.
Against Membership Inference Attack: Pruning is All You Need
The large model size, high computational operations, and vulnerability against membership inference attack (MIA) have impeded deep learning or deep neural networks (DNNs) popularity, especially on mobile devices.
AutoPrune: Automatic Network Pruning by Regularizing Auxiliary Parameters
Reducing the model redundancy is an important task to deploy complex deep learning models to resource-limited or time-sensitive devices.
