2 citations · 3 across the 3 of their papers we have counts for
4 papers
Improving Social Media Popularity Prediction with Multiple Post Dependencies
Zhizhen Zhang, Xiaohui Xie, Mengyu Yang +3
Social Media Popularity Prediction has drawn a lot of attention because of its profound impact on many different applications, such as recommendation systems and multimedia adverti…
Training Large-Vocabulary Neural Language Models by Private Federated Learning for Resource-Constrained Devices
Mingbin Xu, Congzheng Song, Ye Tian +10
Federated Learning (FL) is a technique to train models using data distributed across devices. Differential Privacy (DP) provides a formal privacy guarantee for sensitive data. Our…
Accelerating Training using Tensor Decomposition
Mostafa Elhoushi, Ye Henry Tian, Zihao Chen +2
Tensor decomposition is one of the well-known approaches to reduce the latency time and number of parameters of a pre-trained model. However, in this paper, we propose an approach…
DeepShift: Towards Multiplication-Less Neural Networks
Mostafa Elhoushi, Zihao Chen, Farhan Shafiq +2
The high computation, memory, and power budgets of inferring convolutional neural networks (CNNs) are major bottlenecks of model deployment to edge computing platforms, e.g., mobil…