Search Results for author: Biyi Fang

Found 11 papers, 2 papers with code

SLATE: A Sequence Labeling Approach for Task Extraction from Free-form Inked Content

1 code implementation8 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.

Segmentation Sentence +1

Tricks and Plugins to GBM on Images and Sequences

no code implementations1 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.

feature selection

Topic Analysis for Text with Side Data

no code implementations1 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.

Comment Generation

Only Train Once: A One-Shot Neural Network Training And Pruning Framework

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.

Neural Network Compression Via Sparse Optimization

no code implementations10 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.

Neural Network Compression Stochastic Optimization

HM-NAS: Efficient Neural Architecture Search via Hierarchical Masking

no code implementations31 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.

Neural Architecture Search

Convergence Analyses of Online ADAM Algorithm in Convex Setting and Two-Layer ReLU Neural Network

no code implementations22 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.

NestDNN: Resource-Aware Multi-Tenant On-Device Deep Learning for Continuous Mobile Vision

no code implementations23 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.

A Stochastic Large-scale Machine Learning Algorithm for Distributed Features and Observations

no code implementations29 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.

BIG-bench Machine Learning Distributed Computing +1

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