1 code implementation • 8 Nov 2022 • Apurva Gandhi, Ryan Serrao, Biyi Fang, Gilbert Antonius, Jenna Hong, Tra My Nguyen, Sheng Yi, Ehi Nosakhare, Irene Shaffer, Soundararajan Srinivasan, Vivek Gupta
We present SLATE, a sequence labeling approach for extracting tasks from free-form content such as digitally handwritten (or "inked") notes on a virtual whiteboard.
no code implementations • 1 Mar 2022 • Biyi Fang, Jean Utke, Diego Klabjan
Convolutional neural networks (CNNs) and transformers, which are composed of multiple processing layers and blocks to learn the representations of data with multiple abstract levels, are the most successful machine learning models in recent years.
no code implementations • 1 Mar 2022 • Biyi Fang, Kripa Rajshekhar, Diego Klabjan
In the context of text, the neural network provides an overview distribution about side data for the corresponding text, which is the prior distribution in LDA to help perform topic grouping.
1 code implementation • NeurIPS 2021 • Tianyi Chen, Bo Ji, Tianyu Ding, Biyi Fang, Guanyi Wang, Zhihui Zhu, Luming Liang, Yixin Shi, Sheng Yi, Xiao Tu
Structured pruning is a commonly used technique in deploying deep neural networks (DNNs) onto resource-constrained devices.
no code implementations • 10 Nov 2020 • Tianyi Chen, Bo Ji, Yixin Shi, Tianyu Ding, Biyi Fang, Sheng Yi, Xiao Tu
The compression of deep neural networks (DNNs) to reduce inference cost becomes increasingly important to meet realistic deployment requirements of various applications.
no code implementations • 17 Oct 2020 • Mi Zhang, Faen Zhang, Nicholas D. Lane, Yuanchao Shu, Xiao Zeng, Biyi Fang, Shen Yan, Hui Xu
The era of edge computing has arrived.
no code implementations • 31 Aug 2019 • Shen Yan, Biyi Fang, Faen Zhang, Yu Zheng, Xiao Zeng, Hui Xu, Mi Zhang
Without the constraint imposed by the hand-designed heuristics, our searched networks contain more flexible and meaningful architectures that existing weight sharing based NAS approaches are not able to discover.
no code implementations • 22 May 2019 • Biyi Fang, Diego Klabjan
We cover the convex setting showing the regret of the order of the square root of the size of the window in the constant and dynamic learning rate scenarios.
no code implementations • 23 Oct 2018 • Biyi Fang, Xiao Zeng, Mi Zhang
These systems usually run multiple applications concurrently and their available resources at runtime are dynamic due to events such as starting new applications, closing existing applications, and application priority changes.
no code implementations • 29 Mar 2018 • Biyi Fang, Diego Klabjan
As the size of modern data sets exceeds the disk and memory capacities of a single computer, machine learning practitioners have resorted to parallel and distributed computing.
no code implementations • 21 Feb 2018 • Biyi Fang, Jillian Co, Mi Zhang
There is an undeniable communication barrier between deaf people and people with normal hearing ability.